Re: [Matplotlib-users] Multiple lines of xtick_labels
Use the `pad` property which sets how far the tick labels are from the axis. ax1.tick_params(axis='x',which='minor',bottom='off',top='off', pad=25) iirc, the units on pad are font-points Tom On Fri, Aug 15, 2014 at 5:21 PM, Sterling Smith smit...@fusion.gat.com wrote: How about prepending '\n' to your minor labels? On Aug 15, 2014, at 1:38PM, Ted To wrote: Hi, I'm trying to set two lines of xtick_labels But I can't figure out how to get them on separate lines. These are for errorbars where I have two variables for each of four categories. Using the following code, I'm able to create the attached figure. How does one move the minor xtick_labels to a 2nd line? A minor problem that maybe someone knows the answer to is, how do I increase the width of the x axis so that there is some space before and after the first and last ticks? (ax1.set_xlim(-.5,7.5) does not seem to work.) Many thanks, Ted fig,ax1=plt.subplots() ax1.errorbar(wageAllTypes.index,wageAllTypes['mean'],yerr=wageAllTypes['sd'],fmt='bo') xticks=[0,1,2,3,4,5,6,7] xticks_minor=[.5,2.5,4.5,6.5] ax1.set_xticks(xticks) ax1.set_xticks(xticks_minor, minor=True) ax1.set_xticklabels(['All Jobs','Job 1','Job 2','Job 3'],minor=True) ax1.set_xticklabels([r'$w$',r'$\xi$',r'$w$',r'$\xi$',r'$w$',r'$\xi$',r'$w$',r'$\xi$]') ax1.tick_params(axis='x',which='major') ax1.tick_params(axis='x',which='minor',bottom='off',top='off') ax1.set_ylabel(r'$\ln w$',ha='right',rotation='horizontal') ax2 = ax1.twinx() ax2.errorbar(xiAllTypes.index,xiAllTypes['mean'],yerr=xiAllTypes['sd'],fmt='ro') ax2.set_ylabel(r'$\xi$',ha='left',rotation='horizontal') figure_1.png-- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] pick_event after zooming/panning stops working.
On Thu, Aug 21, 2014 at 9:44 AM, Michael Kaufman kaufma...@ornl.gov wrote:
# plot axvlines here... etc.
global cids
# remove any previous connections
for i in cids:
gcf().canvas.mpl_disconnect(i)
cids = []
cids.append(gcf().canvas.mpl_connect('pick_event',self.pick))
cids.append(gcf().canvas.mpl_connect('button_press_event',self.click))
draw()
def pick(self, event):
thisline = event.artist
xdata, ydata = thisline.get_data()
print xdata[0]
def click(self, event):
print clicked
See this minimal example
```
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.axvline(.5, picker=6)
ax.plot(range(3))
cids = []
plt.draw()
def pick(event):
thisline = event.artist
xdata, ydata = thisline.get_data()
print xdata[0]
def click(event):
print clicked
cids.append(fig.canvas.mpl_connect('pick_event', pick))
cids.append(fig.canvas.mpl_connect('button_press_event', click))
```
If you turn the zoom/pan tool off the picker works again. I suspect
that there is some logic underneath those tools that are snarfing
events when the are turned on to avoid messy conflicts. There is some
work going on (MEP22 iirc) to update the toolbar and make our tool
handling saner.
Tom
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[Matplotlib-users] matplotlib v1.4.0 released
We are pleased to announce the release of matplotlib 1.4.0! This release has contributions from ~170 authors (http://matplotlib.org/users/github_stats.html). This release contains many bug fixes as will as a number of new features. For the full list see http://matplotlib.org/users/whats_new.html#new-in-matplotlib-1-4. Some highlights are: - style module : experimental package to make managing the style of matplotlib figures easier - nbagg : interactive figures in ipython notebooks backed by the AGG renderer - full python 3 support (including cairo backends) - Qt5 support (for python 3 only) - violin plots and 3D quiver plots (projects done for a course at University of Toronto, Scarborough) - new box plot interface (as bxp) The release can be installed via pip (but requires local compilation) Tarballs are available at: - http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.4.0/matplotlib-1.4.0.tar.gz - https://github.com/matplotlib/matplotlib/archive/v1.4.0.tar.gz - https://pypi.python.org/packages/source/m/matplotlib/matplotlib-1.4.0.tar.gz Windows install binaries and wheels are available (thanks to Christoph Gohlke) at http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.4.0/ . Mac OSX wheels are available (thanks to Matthew Brett) from http://wheels.scikit-image.org . The Matplotlib Team -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 1.4 install on Windows 8.1 with pip gives bad hash
Is the hash it reports reproducible? My first guess at what is going on here is that the hash is doing it's job correctly and reporting that your file became corupted during download. Try again at it should work. Tom On Wed, Aug 27, 2014 at 5:55 AM, Werner werner...@gmx.ch wrote: Just FYI, I tried to install with pip but got the following error. C:\Python34\Scriptspip install -U matplotlib Downloading/unpacking matplotlib Hash of the package https://pypi.python.org/packages/source/m/matplotlib/matplotlib-1.4.0.tar.gz#md5=1daf7f2123d94745f eac1a30b210940c (from https://pypi.python.org/simple/matplotlib/) (b3547692387bce383d7a001a8e03ce87) doesn't match the e xpected hash 1daf7f2123d94745feac1a30b210940c! Cleaning up... Werner P.S. I installed using the .exe installer without problems. -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Basemap shiftgrid
Is this related to https://github.com/matplotlib/basemap/issues/163 ? On Wed, Aug 27, 2014 at 5:41 AM, ChaoYue chaoyue...@gmail.com wrote: Hi Michelle, I might not fully understand your problem, could you have a look at this thread and see if it helps? http://matplotlib.1069221.n5.nabble.com/Fwd-Strange-behaviour-on-plotting-data-on-Ronbinson-projection-using-Basemap-td43222.html#a43233 Cheers, Chao On Wed, Aug 27, 2014 at 9:58 AM, mmc [via matplotlib] [hidden email] wrote: Hi All, I am having problems plotting data in Basemap. I have tried some of the different projections such as Robinson and Equidistant Cylindrical, however kept running into the error WARNING: x coordinate not monotonically increasing - contour plot may not be what you expect. If it looks odd, your can either adjust the map projection region to be consistent with your data, or (if your data is on a global lat/lon grid) use the shiftgrid function to adjust the data to be consistent with the map projection region (see examples/contour_demo.py). Having read some other forums, I see that it is due to the fact that the longitude is based on 0-360 rather that -180 to 180. I have been trying to rectify this with shiftgrid. I have used shiftgrid and have moved my longitudes to -180 to 180 however I keep running up with the error: ValueError: lon0 outside of range of lonsin I also manage to get one plot out, which has the right projection I want (I am looking over the Atlantic) however the data isnt shifting in line with the longitudes. Would anyone know why this is the case? I have am using shiftgrid as below and the Basemap projection of Equidistant cylindrical (I have also tried Robinson however end up with similar result of data not moving in line with the longitude) MSLP = aso_mslp.data MSLP_background = np.mean(MSLP, axis = 0) # shifting grid to run from -180 to 180 rather than 0-360 MSLP_background,lon = shiftgrid(180., MSLP_background, lon, start=False) #setting the map in order to plot the data map = Basemap(projection ='cyl', llcrnrlat=-90, urcrnrlat=90, llcrnrlon=-180, urcrnrlon=180, resolution='c') Thanks Michelle If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Basemap-shiftgrid-tp43851.html To start a new topic under matplotlib - users, email [hidden email] To unsubscribe from matplotlib, click here. NAML -- please visit: http://www.globalcarbonatlas.org/ *** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 View this message in context: Re: Basemap shiftgrid Sent from the matplotlib - users mailing list archive at Nabble.com. -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 1.4 install on Windows 8.1 with pip gives bad hash
Didn't know you could do that I have (I think) uploaded all of the wheels we have to pypi. I don't have a windows or mac machine to test on, can anyone provide feed back if it worked as intended? Tom On Wed, Aug 27, 2014 at 12:20 PM, Christoph Gohlke cgoh...@uci.edu wrote: Somewhat related to this: are the Windows and Mac wheels going to be uploaded to PyPI so pip doesn't try to install/build from the source distribution by default? Christoph On 8/27/2014 5:33 AM, Thomas Caswell wrote: Is the hash it reports reproducible? My first guess at what is going on here is that the hash is doing it's job correctly and reporting that your file became corupted during download. Try again at it should work. Tom On Wed, Aug 27, 2014 at 5:55 AM, Werner werner...@gmx.ch wrote: Just FYI, I tried to install with pip but got the following error. C:\Python34\Scriptspip install -U matplotlib Downloading/unpacking matplotlib Hash of the package https://pypi.python.org/packages/source/m/matplotlib/matplotlib-1.4.0.tar.gz#md5=1daf7f2123d94745f eac1a30b210940c (from https://pypi.python.org/simple/matplotlib/) (b3547692387bce383d7a001a8e03ce87) doesn't match the e xpected hash 1daf7f2123d94745feac1a30b210940c! Cleaning up... Werner P.S. I installed using the .exe installer without problems. -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] violin plot
We also welcome PRs! Adding that feature should be pretty straight forward. Iirc it should be a matter of adding an extra key to the dictionary and a conditional to draw the lines if those keys exist. Tom On Aug 27, 2014 4:57 PM, Arnaldo Russo arnaldoru...@gmail.com wrote: Hi Neal, I don't know if you need exclusively matplotlib tools to apply your violin plot, but seaborn package [1, 2] do this very well. I hope you enjoy it! Cheers, Arnaldo. [1] http://web.stanford.edu/~mwaskom/software/seaborn/examples/violinplots.html [2] https://github.com/mwaskom/seaborn --- *Arnaldo D'Amaral Pereira Granja Russo* Lab. de Estudos dos Oceanos e Clima Instituto de Oceanografia - FURG 2014-08-27 12:15 GMT-03:00 Neal Becker ndbeck...@gmail.com: I'm pleased to see violinplot added to mpl-1.4. One question. I might like to annotate with some statistic. Like boxplot can show quantiles. I might like to show either quantiles, or some other statistic (3 sigma) on my violinplot. After all, violinplot is advertised as an improved boxplot, but it seems to be missing this feature. -- -- Those who don't understand recursion are doomed to repeat it -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Error in atexit._run_exitfuncs
Can you provide a minimal example that will trigger the bug? From the description you have given we don't have enough information to diagnose the problem. Ben thinks this is related to some long-standing issues, if you could help us track them down it would be greatly appreciated. Tom On Mon, Sep 15, 2014 at 7:19 AM, keithbriggs keith.bri...@bt.com wrote: I am still getting this error, this time with matplotlib.pyplot.matshow, and I do not get any plot. This bug really needs to be fixed! -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Error-in-atexit-run-exitfuncs-tp43566p43947.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Want excitement? Manually upgrade your production database. When you want reliability, choose Perforce Perforce version control. Predictably reliable. http://pubads.g.doubleclick.net/gampad/clk?id=157508191iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Want excitement? Manually upgrade your production database. When you want reliability, choose Perforce Perforce version control. Predictably reliable. http://pubads.g.doubleclick.net/gampad/clk?id=157508191iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Error in atexit._run_exitfuncs
What versions of things are you using (python, mpl, gtk, gtk's python bindings, and cairo) and how did you install them? Can you also include the full backtrace? On Mon, Sep 15, 2014 at 8:28 AM, keith.bri...@bt.com wrote: How's this for minimal? from matplotlib import pyplot as plt plt.matshow([[0.0]]) It crashes with the FigureManagerGTK3Cairo error. Keith -Original Message- From: Thomas Caswell [mailto:tcasw...@gmail.com] Sent: 15 September 2014 13:23 To: Briggs,KM,Keith,TUB2 R Cc: matplotlib-users@lists.sourceforge.net Subject: Re: [Matplotlib-users] Error in atexit._run_exitfuncs Can you provide a minimal example that will trigger the bug? From the description you have given we don't have enough information to diagnose the problem. Ben thinks this is related to some long-standing issues, if you could help us track them down it would be greatly appreciated. Tom On Mon, Sep 15, 2014 at 7:19 AM, keithbriggs keith.bri...@bt.com wrote: I am still getting this error, this time with matplotlib.pyplot.matshow, and I do not get any plot. This bug really needs to be fixed! -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Error-in-atexit-run-exitfuncs- tp43566p43947.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Want excitement? Manually upgrade your production database. When you want reliability, choose Perforce Perforce version control. Predictably reliable. http://pubads.g.doubleclick.net/gampad/clk?id=157508191iu=/4140/ostg. clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Thomas Caswell tcasw...@gmail.com -- Want excitement? Manually upgrade your production database. When you want reliability, choose Perforce Perforce version control. Predictably reliable. http://pubads.g.doubleclick.net/gampad/clk?id=157508191iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] FW: traceback when import matplotlib.pyplot twice
Something is going really sideways on your system as `Gcf` is the class that the static method is a member of. If you have the method to call it, then you have the class defined. My guess is there is some race condition is the cleanup-at-exit code where the system is cleaning up the class object before this function is getting run. I suspect a better fix is to change all of the staticmethods - classmethods Tom On Fri, Oct 10, 2014 at 1:38 PM, Mark Janikas mjani...@esri.com wrote: Thanks for pointer on the None…. Just got the future warning in my code when comparing a numpy array param in a class of mine that defaults to None. That should be solved differently… but I have plenty of other params that default to None and I will change them accordingly…. Back to the traceback… it occurs on matplotlib 1.3 AND 1.4 TY, MJ From: ben.v.r...@gmail.com [mailto:ben.v.r...@gmail.com] On Behalf Of Benjamin Root Sent: Wednesday, October 8, 2014 6:20 PM To: Mark Janikas Cc: Matplotlib Users Subject: Re: [Matplotlib-users] FW: traceback when import matplotlib.pyplot twice Which version of matplotlib and which backend? Also, don't use == or != when comparing to None. Use is and is not. Ben Root -- Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Quiver 3D ValueError
You need 1.4.0 as the 3D quiver code is not in 1.3.1. On Fri, Oct 10, 2014 at 5:02 PM, Thomas Proctor theproctona...@gmail.com wrote: I'm trying to generate a 3D quiver plot. When I try running the sample available at http://matplotlib.org/mpl_examples/mplot3d/quiver3d_demo.py I get a ValueError: too many values to unpack error. I'm using matplotlib 1.3.1 (the version available on the Ubuntu repositories). Does anyone know what's up with this? I'm assuming that this sample will work if I had the right version, can anyone tell me what version I would need? Thanks! -- Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] FW: traceback when import matplotlib.pyplot twice
See https://github.com/matplotlib/matplotlib/pull/3638 That might help to make sure that things tear them selves down in the right order. Tom On Sat, Oct 11, 2014 at 10:12 AM, Phil Elson pelson@gmail.com wrote: On 10 October 2014 19:10, Thomas Caswell tcasw...@gmail.com wrote: I suspect a better fix is to change all of the staticmethods - classmethods +1 -- Thomas Caswell tcasw...@gmail.com -- Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] v1.4.1rc1
I am happy to announce that I have tagged a release candidate for 1.4.1. This is a bug-fix release which fixes most of the bug that popped up in 1.4.0 including: - setup.py does not die when freetype is not installed - reverts the changes to interactive plotting so `ion` will work as expected - sundry unicode fixes (looking up user folders, importing seaborn/pandas/networkx with macosx backend - fixed boxplot regressions The tarball is available from github, sourceforge and can be install via pip install matplotlib==1.4.1rc1 Tom -- Thomas Caswell tcasw...@gmail.com -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] v1.4.1rc1
Awesome, thanks! On Thu, Oct 16, 2014 at 8:14 AM, Sandro Tosi mo...@debian.org wrote: Hi! I just uploaded mpl 1.4.1-rc1 in Debian, so it can geta bit of exposure even on the weird HW we still support. Cheers, Sandro On Tue, Oct 14, 2014 at 5:40 PM, Thomas Caswell tcasw...@gmail.com wrote: I am happy to announce that I have tagged a release candidate for 1.4.1. This is a bug-fix release which fixes most of the bug that popped up in 1.4.0 including: - setup.py does not die when freetype is not installed - reverts the changes to interactive plotting so `ion` will work as expected - sundry unicode fixes (looking up user folders, importing seaborn/pandas/networkx with macosx backend - fixed boxplot regressions The tarball is available from github, sourceforge and can be install via pip install matplotlib==1.4.1rc1 Tom -- Thomas Caswell tcasw...@gmail.com -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-devel mailing list matplotlib-de...@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- Thomas Caswell tcasw...@gmail.com -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib import fail
Tobais, In the future please send all messages like this to the user mailing list (cc'd) Try using the 1.4.1rc1 release candidate, there are windows installers on sourceforge. If that does not work, please open a new github issue. Tom On Thu, Oct 16, 2014 at 2:43 PM, Tobias Landwehr dolly-klonsc...@gmx.de wrote: Greetings Thomas, I am sorry to disturb you, but I found on github, that you could've already provided a solution to my problem almost three weeks ago. I couldn't really understand the way how to solve the prob, which is the reason I decided to write you. I am currently working with Python 2.7.2 and want to import the matplotlib. Problems arise obviously since my username-folder contains a non-ascii sign (german Ä). I would prefer to not setup a second user and the user's folder shouldn't/can't be renamed. If you could find some time to deal with the problem over the weekend or give me a hint, how to solve it, I would be really grateful. Below you'll find the fail report. Many thanks in advance, Tobias Traceback (most recent call last): File C:\Python27\workspace\ITT\src\itt\statistics\block01\LandCover.py, line 7, in module import matplotlib.pyplot as plt File C:\Python27\lib\site-packages\matplotlib\__init__.py, line 1048, in module rcParams = rc_params() File C:\Python27\lib\site-packages\matplotlib\__init__.py, line 897, in rc_params fname = matplotlib_fname() File C:\Python27\lib\site-packages\matplotlib\__init__.py, line 759, in matplotlib_fname configdir = _get_configdir() File C:\Python27\lib\site-packages\matplotlib\__init__.py, line 630, in _get_configdir return _get_config_or_cache_dir(_get_xdg_config_dir()) File C:\Python27\lib\site-packages\matplotlib\__init__.py, line 555, in _get_xdg_config_dir path = get_home() File C:\Python27\lib\site-packages\matplotlib\__init__.py, line 323, in wrapper ret = func(*args, **kwargs) File C:\Python27\lib\site-packages\matplotlib\__init__.py, line 509, in _get_home path = os.path.expanduser(~) File C:\Python27\lib\ntpath.py, line 310, in expanduser return userhome + path[i:] UnicodeDecodeError: 'ascii' codec can't decode byte 0x84 in position 16: ordinal not in range(128) -- Thomas Caswell tcasw...@gmail.com -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] _backend_gdk.c:43:10: error: ‘PyArrayObject’ has no member named ‘strides’
What OS and what branch are you using? Can you roll back to one commit before the most recent merge? https://github.com/matplotlib/matplotlib/pull/3547 updated the numpy api. If that fixes it, please make a new issue on github reporting the problem. Tom On Fri, Oct 17, 2014 at 12:42 PM, Nils Wagner nils...@googlemail.com wrote: Hi all, I cannot build matplotlib from git src/_backend_gdk.c: In function ‘pixbuf_get_pixels_array’: src/_backend_gdk.c:43:10: error: ‘PyArrayObject’ has no member named ‘strides’ src/_backend_gdk.c:46:10: error: ‘PyArrayObject’ has no member named ‘base’ error: command '/usr/bin/gcc' failed with exit status 1 -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] _backend_gdk.c:43:10: error: ‘PyArrayObject’ has no member named ‘strides’
Please try with commit 7f71233d55683b1c1bda1b365b61f912f8a154df What version of numpy are you using, we only support 1.6+ Tom On Fri, Oct 17, 2014 at 1:35 PM, Nils Wagner nils...@googlemail.com wrote: I am using commit 0f4a68d3b75ae5ef192b1c90d876e18ff9de86c5 Merge: 7f71233 b279c15 Author: Thomas A Caswell tcasw...@gmail.com Date: Fri Oct 17 10:45:39 2014 -0400 on opensuse12.3 On Fri, Oct 17, 2014 at 7:14 PM, Thomas Caswell tcasw...@gmail.com wrote: What OS and what branch are you using? Can you roll back to one commit before the most recent merge? https://github.com/matplotlib/matplotlib/pull/3547 updated the numpy api. If that fixes it, please make a new issue on github reporting the problem. Tom On Fri, Oct 17, 2014 at 12:42 PM, Nils Wagner nils...@googlemail.com wrote: Hi all, I cannot build matplotlib from git src/_backend_gdk.c: In function ‘pixbuf_get_pixels_array’: src/_backend_gdk.c:43:10: error: ‘PyArrayObject’ has no member named ‘strides’ src/_backend_gdk.c:46:10: error: ‘PyArrayObject’ has no member named ‘base’ error: command '/usr/bin/gcc' failed with exit status 1 -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- Thomas Caswell tcasw...@gmail.com -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] matplotlib v1.4.1 released
Hello, We are pleased to announce the release of matplotlib 1.4.1. This is a bug-fix release for the 1.4 series. - reverts the changes to interactive plotting so ion will work as before in all cases fixed boxplot regressions - fixes for finding freetype and libpng - sundry unicode fixes (looking up user folders, importing seaborn/pandas/networkx with macosx backend) - nbagg works with python 3 + new font awesome - fixed saving dialogue in QT5 Source tarballs are available on sourceforge, github, and pypi. In addition wheels for both mac and windows are available on both pypi and source forge and windows executable installers are available on source forge. http://matplotlib.org/downloads.html https://pypi.python.org/pypi/matplotlib/1.4.1 The matplotlib dev team -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] matplotlib v1.4.2
Hot on the tails of v1.4.1, we have a v1.4.2 due to an error in the boxplot api in pyplot.py The only changes between 1.4.1 and 1.4.2 are: - corrected boxplot in pyplot.py - added extra paths to default search paths for freetype Tom -- Thomas Caswell tcasw...@gmail.com -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Equivalent of d3's step-after interpolation?
https://stackoverflow.com/questions/12841847/step-function-in-matplotlib/12846384#12846384 is a much better example of how to control the step function. On Thu, Oct 30, 2014 at 1:01 PM, Pierre Haessig pierre.haes...@crans.org wrote: You might also be interested in http://stackoverflow.com/questions/15188005/linestyle-in-matplotlib-step-function which details the `drawstyle` parameters. It can be set to 'steps-post' for example. The only case I was not able to cover with this parameter are the fill_between plots, because they do not use Line objects... -- Pierre -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Thomas Caswell tcasw...@gmail.com -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Fwd: tex rendering broken?
Forwarding message to list that should have gone there initialy for
archiving.
-- Forwarded message --
From: Thomas Caswell tcasw...@gmail.com
Date: Mon, Nov 3, 2014 at 7:50 AM
Subject: Re: [Matplotlib-users] tex rendering broken?
To: Martin Wiebusch mwiebusc...@gmail.com
My first guess is that there is that some thing wrong with your latex
installation as the images on the website are regenerated as part of
building the documentation.
I can not reproduce this problem on a 1.4.2 installation on my computer.
Try cleaning out the tex.cache folder in either or both of
matplotlib.get_cachedir() or matplotlib.get_configdir().
Tom
On Mon, Nov 3, 2014, 06:24 Martin Wiebusch mwiebusc...@gmail.com wrote:
I just downgraded to matplotlib 1.1.1 and now everything works. Looks
like a regression to me.
On Fri, 2014-10-31 at 15:53 +, Martin Wiebusch wrote:
I am having trouble executing the example for typesetting labels with
latex from http://matplotlib.org/users/usetex.html. Copying the standard
example, tex_demo.py, to a file and executing it gives the following
output:
Traceback (most recent call last):
File scratch.py, line 21, in module
plt.savefig('tex_demo')
File /usr/lib/pymodules/python2.7/matplotlib/pyplot.py, line 561, in
savefig
return fig.savefig(*args, **kwargs)
File /usr/lib/pymodules/python2.7/matplotlib/figure.py, line 1421,
in savefig
self.canvas.print_figure(*args, **kwargs)
File /usr/lib/pymodules/python2.7/matplotlib/backend_bases.py, line
2220, in print_figure
**kwargs)
File
/usr/lib/pymodules/python2.7/matplotlib/backends/backend_agg.py, line
505, in print_png
FigureCanvasAgg.draw(self)
File
/usr/lib/pymodules/python2.7/matplotlib/backends/backend_agg.py, line
451, in draw
self.figure.draw(self.renderer)
File /usr/lib/pymodules/python2.7/matplotlib/artist.py, line 55, in
draw_wrapper
draw(artist, renderer, *args, **kwargs)
File /usr/lib/pymodules/python2.7/matplotlib/figure.py, line 1034,
in draw
func(*args)
File /usr/lib/pymodules/python2.7/matplotlib/artist.py, line 55, in
draw_wrapper
draw(artist, renderer, *args, **kwargs)
File /usr/lib/pymodules/python2.7/matplotlib/axes.py, line 2086, in
draw
a.draw(renderer)
File /usr/lib/pymodules/python2.7/matplotlib/artist.py, line 55, in
draw_wrapper
draw(artist, renderer, *args, **kwargs)
File /usr/lib/pymodules/python2.7/matplotlib/axis.py, line 1105, in
draw
self.label.draw(renderer)
File /usr/lib/pymodules/python2.7/matplotlib/artist.py, line 55, in
draw_wrapper
draw(artist, renderer, *args, **kwargs)
File /usr/lib/pymodules/python2.7/matplotlib/text.py, line 594, in
draw
self._fontproperties, angle, mtext=self)
File
/usr/lib/pymodules/python2.7/matplotlib/backends/backend_agg.py, line
241, in draw_tex
self._renderer.draw_text_image(Z, x, y, angle, gc)
OverflowError: cannot convert float infinity to integer
My system is
Linux mwlaptop 3.16.0-24-generic #32-Ubuntu SMP Tue Oct 28 13:07:32 UTC
2014 x86_64 x86_64 x86_64 GNU/Linux
My matplotlib version is 1.3.1, and I am using standard packages from my
Ubuntu 14.10 distribution.
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[Matplotlib-users] Fwd: tex rendering broken?
Forwarding message to list that should have gone there initialy for archiving. -- Forwarded message -- From: Martin Wiebusch mwiebusc...@gmail.com Date: Mon, Nov 3, 2014 at 8:26 AM Subject: Re: [Matplotlib-users] tex rendering broken? To: Thomas Caswell tcasw...@gmail.com On Mon, 2014-11-03 at 07:50 -0500, Thomas Caswell wrote: I can not reproduce this problem on a 1.4.2 installation on my computer. Try cleaning out the tex.cache folder in either or both of matplotlib.get_cachedir() or matplotlib.get_configdir(). Thanks. Clearing the cache directory did the trick. It might be a good idea to mention matplotlib.get_cachedir() and matplotlib.get_configdir() explicitly under 'Troubleshooting' on the web page. Currently there is a link which points you to matplotlib.get_configdir() (which was empty in my case) but not matplotlib.get_cachedir(). Best regards, Martin. -- Thomas Caswell tcasw...@gmail.com -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Defaults?
The style module (extracted from mpltools) is now part of the library and was one of the major features added in the 1.4 series. See http://matplotlib.org/users/style_sheets.html Tom On Fri Nov 07 2014 at 11:05:58 AM Adam Hughes hughesada...@gmail.com wrote: I use a config file in ipython notebooks that sets some parameters of the ipython notebook and then sets the matplotlib defaults. http://nbviewer.ipython.org/github/hugadams/pyuvvis/blob/master/examples/Notebooks/NBCONFIG.ipynb Then I use in all subsequent analysis in the ipython notebook: http://nbviewer.ipython.org/urls/raw.github.com/hugadams/pyuvvis/master/examples/Notebooks/basic_units.ipynb On Fri, Nov 7, 2014 at 10:15 AM, Sebastian Berg sebast...@sipsolutions.net wrote: Hey, just something I was wondering about today. I commonly want to change certain things about my plots. For example I like a serif/larger fonts, and everyone knows that jet is an awful default colour map almost always... It could be neat to have some more default rc's or so that can be loaded easily. I mean I could just create one for myself, but having some examples of what can be done and being able to switch that could be neat. Such as some defaults that are better for printing, maybe in matplotlib or really just on a website which shows some example plot for uploaded RCs. Anyway, just rambling :), I am not planning to really think about it much. And maybe some things even exist and I am not aware of it. Regards, Sebastian -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with event handling in matplotlib in tkinter
The old-style classes are because mpl pre-dates new-style classes. On master all classes now inherit from object (as of about 3 weeks ago https://github.com/matplotlib/matplotlib/pull/3662) On Fri Nov 07 2014 at 2:02:15 PM Brendan Barnwell brenb...@brenbarn.net wrote: On 2014-11-07 09:37, Benjamin Root wrote: Figured it out! The instance of Test() isn't being retained anywhere, so when it goes out of scope, the garbage collector eventually gets it. The fact that it works in py3k is likely a coincidence as the garbage collector would eventually have cleaned it up at some point. I don't know the scoping/garbage collection rules for lambdas, so I am guessing that they persist as they are part of the code as opposed to a de-reference-able (is that even a word?). Just save the instance of Test as a member variable of App, and you should be good to go! This note in cbook.py (which handles the callback registry) explains it. . . sort of: In practice, one should always disconnect all callbacks when they are no longer needed to avoid dangling references (and thus memory leaks). However, real code in matplotlib rarely does so, and due to its design, it is rather difficult to place this kind of code. To get around this, and prevent this class of memory leaks, we instead store weak references to bound methods only, so when the destination object needs to die, the CallbackRegistry won't keep it alive. The Python stdlib weakref module can not create weak references to bound methods directly, so we need to create a proxy object to handle weak references to bound methods (or regular free functions). This technique was shared by Peter Parente on his `Mindtrove blog http://mindtrove.info/articles/python-weak-references/`_. Definitely a hidden trap! Also, speaking of the dangers of classes not inheriting from object, I noticed that CallbackRegistry in cbook.py is also an old-style class (doesn't inherit from object). I then did a search and found numerous old-style classes throughout MPL. Is there any reason for this? -- Brendan Barnwell Do not follow where the path may lead. Go, instead, where there is no path, and leave a trail. --author unknown -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with event handling in matplotlib in tkinter
I am also beginning to like the idea of hanging all of these things off of FigureManager objects. We have them around, but they are really only used in pyplot (which is a shame) and seems a natural place to put all of these aggregation type objects (list of animations, the toolbar stuff, the navigation stuff, the blit-manager object I want to pull in from scikit-image, etc). @Federico, tell me if I am being dumb about this. Tom On Fri Nov 07 2014 at 2:05:29 PM Thomas Caswell tcasw...@gmail.com wrote: The old-style classes are because mpl pre-dates new-style classes. On master all classes now inherit from object (as of about 3 weeks ago https://github.com/matplotlib/matplotlib/pull/3662) On Fri Nov 07 2014 at 2:02:15 PM Brendan Barnwell brenb...@brenbarn.net wrote: On 2014-11-07 09:37, Benjamin Root wrote: Figured it out! The instance of Test() isn't being retained anywhere, so when it goes out of scope, the garbage collector eventually gets it. The fact that it works in py3k is likely a coincidence as the garbage collector would eventually have cleaned it up at some point. I don't know the scoping/garbage collection rules for lambdas, so I am guessing that they persist as they are part of the code as opposed to a de-reference-able (is that even a word?). Just save the instance of Test as a member variable of App, and you should be good to go! This note in cbook.py (which handles the callback registry) explains it. . . sort of: In practice, one should always disconnect all callbacks when they are no longer needed to avoid dangling references (and thus memory leaks). However, real code in matplotlib rarely does so, and due to its design, it is rather difficult to place this kind of code. To get around this, and prevent this class of memory leaks, we instead store weak references to bound methods only, so when the destination object needs to die, the CallbackRegistry won't keep it alive. The Python stdlib weakref module can not create weak references to bound methods directly, so we need to create a proxy object to handle weak references to bound methods (or regular free functions). This technique was shared by Peter Parente on his `Mindtrove blog http://mindtrove.info/articles/python-weak-references/`_. Definitely a hidden trap! Also, speaking of the dangers of classes not inheriting from object, I noticed that CallbackRegistry in cbook.py is also an old-style class (doesn't inherit from object). I then did a search and found numerous old-style classes throughout MPL. Is there any reason for this? -- Brendan Barnwell Do not follow where the path may lead. Go, instead, where there is no path, and leave a trail. --author unknown -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] axes3d.get_test_data; where else is test data?
Take a look at matplotlib.cbook.get_sample_data. That said, I don't think an _axes_ object should have such a function and axes3d.get_test_data() should be removed. Tom On Thu Nov 06 2014 at 11:40:18 AM Adam Hughes hughesada...@gmail.com wrote: Hi, I recently noticed the method: axes3d.get_test_data() I was curious if other test/sample data is available somewhere in matplotlib, for demo purposes? Or if this is the only sample dataset in the library? Not just for 3dplots but for any plot type... Sorry if I'm overlooking the obvious... -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Setting a user defined color for each marker of a Line2D
If you want each marker to be a different color you have to use scatter. You can pass scatter a sequence of colors (see http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter) so you don't have to go through making a custom colormap. Tom On Thu Nov 13 2014 at 9:01:42 AM V. Armando Solé s...@esrf.fr wrote: Hello, I am trying to plot a line assigning a user specified color to each marker. The idea is that if I have n points x, n ppoints y, I was expecting to be able to provide n markeredgecolors or n markerfacecolors as a (npoints, 4) array of RGBA values. However that does not seem to be possible (or I have failed to find it). The closest thing to that functionality I have found is based on creating a colormap with as many entries as points to be plotted: http://stackoverflow.com/questions/16834861/create-own- colormap-using-matplotlib-and-plot-color-scale and that only seems to work with scatter plots. Any hint about how to generate a Line2D object with a user specified set of colors (therefore not needing to create and use a colormap)? Thanks for your time, Armando -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://pubads.g.doubleclick.net/gampad/clk?id=154624111; iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://pubads.g.doubleclick.net/gampad/clk?id=154624111iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Control of the display of the navigation toolbar --- how?
Also note that there is an rcparams context manager ( http://matplotlib.org/api/matplotlib_configuration_api.html#matplotlib.rc_context) that will take care of the boiler plate of temporarily changing an rcparam. On Wed Nov 12 2014 at 10:52:03 PM Sterling Smith smit...@fusion.gat.com wrote: Virgil, Glad to hear you got it to work. You are right that you have to set rcParams before the corresponding element is created (in this case the figure) for the rcParams to affect that creation. -Sterling On Nov 12, 2014, at 4:00PM, Virgil Stokes wrote: On 12-Nov-14 22:20, Sterling Smith wrote: Virgil, Presumably you set up some callback function that is called when you click on the first figure, and which creates the second figure. Can't you change rcParams['toolbar'] in that callback function? Does it not have any effect? -Sterling On Nov 12, 2014, at 12:50PM, Virgil Stokes wrote: I would like to be able to control when there is and there is not a navigation toolbar for figures. For example, suppose I have created a figure in which I do not wish to have a toolbar. I have used the following statement for this: mpl.rcParams['toolbar'] = 'None' which works fine. This figure (without a navigation toolbar) contains some points in it that are used to display more figures (each with an image in it). That is, when one of the points is clicked on with a mouse, a new figure is created with a PNG image in it. I wish to have a navigation toolbar in all these figures containing images. How can I place navigation toolbars in these figures with PNG images? -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://pubads.g.doubleclick.net/gampad/clk?id=154624111; iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users OK Sterling! I now have it --- I needed to do the following when displaying the figures containing the images: mpl.rcParams['toolbar'] = 'toolbar2' # to restore toolbar f, ax = plt.subplots(figsize=(5,4)) # for images It was important to have this order in the statements; i.e., the mpl before the figure was defined. Thanks for the help -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://pubads.g.doubleclick.net/gampad/clk?id=154624111; iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://pubads.g.doubleclick.net/gampad/clk?id=154624111iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Can not display 3D plot !
Did you try in a conda venv? These look like (globally!) installed version of things which means your python session can still be picking up old/stale versions of other imports. See Paul Hobson's email. Tom On Thu Nov 13 2014 at 4:58:11 PM Geoffrey Mégardon geoffrey.megar...@gmail.com wrote: That returns: C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc On 13 November 2014 16:40, Benjamin Root ben.r...@ou.edu wrote: No OpenGL. The 3d graphics all goes through the same layering engine as the 2D plots. They aren't real 3D plots but rather what I like to call 2.1D plots. A single point of a 3D element is chosen to determine how to layer it with everything else. So, it is very easy to get visualization artifacts, especially with polygons. Do this from python: import matplotlib import mpl_toolkits.mplot3d print matplotlib.__file__ print mpl_toolkits.mplot3d.__file__ And tell us what that returns. Cheers! Ben Root On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson pmhob...@gmail.com wrote: No clue about that. BTW, I'll i was suggestion was to create a new conda enviorment: conda create --name=mpl3dtest matplotlib ipython-notebook python=3.4 ... activate mpl3dtest ipython notebook [test out 3d plotting] On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon geoffrey.megar...@gmail.com wrote: I uninstall and reinstall Anaconda. That still does not work :/ Is it possible there is like OpenGL problem, graphic card driver problem, or something linked to displaying 3d? On 13 November 2014 13:32, Paul Hobson pmhob...@gmail.com wrote: Does a fresh conda environment help? On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon geoffrey.megar...@gmail.com wrote: Yes, I may forget to tell, but this code is 100% working, it work on other installations I have. So the problem is not in the code. It is just that on my current laptop, I don't know why, this code, which tries to display a 3d plot, leads to a crash. Note that 2D plots work fine on their side. I have an other PC on windows 8.1, and everything work fine on it, I installed the same Anaconda 64-bit version. So it is something to do with my environment, but it is not linked to the OS itself, and it is linked with 3D displaying only I would say. Any idea? :) On 12 November 2014 18:44, Jerzy Karczmarczuk jerzy.karczmarc...@unicaen.fr wrote: Le 13/11/2014 00:13, Geoffrey Mégardon a écrit : ... But to create the 3D axes, to draw in it, and then to show the figure, that crashes: from mpl_toolkits.mplot3d import axes3d import matplotlib matplotlib.use(agg) import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111, projection='3d') X, Y, Z = axes3d.get_test_data(0.05) cset = ax.contour(X, Y, Z) ax.clabel(cset, fontsize=9, inline=1) plt.show() Basically on iPython QT console I would get an error like: Kernel died, restarting Perhaps it is your environment, not Matplotlib. A copy-paste of this program run without problems on my system. Anaconda 64 bits, IPython console (within Spyder). But *Windows 7*, not 8. Jerzy Karczmarczuk -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://pubads.g.doubleclick.net/gampad/clk?id=154624111iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- -- MEGARDON Geoffrey -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://pubads.g.doubleclick.net/gampad/clk?id=154624111iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- -- MEGARDON Geoffrey -- Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://pubads.g.doubleclick.net/gampad/clk?id=154624111iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- -- MEGARDON Geoffrey
Re: [Matplotlib-users] How to plot other than rectangular grid?
There are also triangular mesh plotting (I think tricolormesh is the function name). The really brute force solution is to use poly collection and draw what ever shape you want. Tom -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=157005751iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] line segments in a scatter plot
I would just call use `plot` and keep track of the Line2D objects returned. On Thu Dec 11 2014 at 10:40:05 AM Nils Wagner nils...@googlemail.com wrote: Hi Ben, I have attached a sample scatter plot. The task is to add lines to the scatter plot. Nils On Thu, Dec 11, 2014 at 3:47 PM, Benjamin Root ben.r...@ou.edu wrote: Nils, Perhaps the rectangle selector might be of use? It defaults to a draw mode of 'box', but you can set it to line so that it looks like a ruler widget. http://matplotlib.org/api/widgets_api.html#matplotlib. widgets.RectangleSelector I can imagine that you could set up a selector callback that could then query the data on the graph to snap the final line to the nearest points on the graph, creating a Line2D object on the fly. Is that what you are looking for? Cheers! Ben Root On Thu, Dec 11, 2014 at 8:47 AM, Nils Wagner nils...@googlemail.com wrote: Hi all, how can I create line segments between consecutive selected points of a scatter plot in an interactive manner ? It should be possible to create several unclosed polygonal lines. Each polygonal line might have a different color. A small example is appreciated. Thanks in advance. -- View this message in context: http://matplotlib.1069221.n5. nabble.com/line-segments-in-a-scatter-plot-tp44602.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=164703151; iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=164703151iu=/ 4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=164703151iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Is it planned to add copy/paste curves possibility in matplotlib ?
glue does a lot of fancy interactive stuff, they might have something like that. From a reproducible computing PoV that functionality is a bit of a problem until we have a way to serialize figures. It is looking more and more like that is what I will be doing over the holidays Tom On Thu Dec 11 2014 at 11:39:29 AM Benjamin Root ben.r...@ou.edu wrote: Plans? No. This is the first I have ever heard of such a feature. You could always add a feature request for it (this is a community-developed tool). It might even fold in nicely with the MEP22 work going on to refactor our interactivity and make it easier to add tools. Keep in mind that Matplotlib is not the end-all-be-all of plotting in Python. There are a bunch of other tools that build off of matplotlib to add more features and functionality. A bunch off the top of my head are: bokeh, seaborn, mpldatacursor. There are a few others, but their names aren't coming to me right now. Cheers! Ben Root On Thu, Dec 11, 2014 at 11:28 AM, Julien Hillairet julien.hillai...@gmail.com wrote: Dear all, We're, at our lab, trying to (slowly) make the transition from a famous (but expansive) numerical software to Python. The most recurring remark made against the use of Python/Matplotlib instead of this famous software is the fact that one cannot male simple click/copy/paste of a curve from a figure into another. I guess this heavily depends of the backend used, or of the OS. So my question is probably naive, but anyway : is there a plan to add an interactive way to select one or more curves from a matplotlib figure and to copy/paste them into a another figure ? It is, I think, a killing feature for many beginners/average users who used to work with matlab (oups, I've said it). Best regards, Julien -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=164703151; iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=164703151iu=/ 4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=164703151iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Include \hline on table inside figure
Have you looked at using the mpl tables?
http://matplotlib.org/examples/pylab_examples/table_demo.html
Tom
On Fri Jan 23 2015 at 1:15:09 PM Arnaldo Russo arnaldoru...@gmail.com
wrote:
Hi,
I'm dealing with this issue but no clues I have found!
When I use simple matplotlib engine, my plot does not render the correct
font (which I have set to Arial) but it renders the \hline and specif
spaces in the table inserted inside the figure area [Fig 1]
http://imgur.com/J1A01h5.
In the second try, using Xelatex engine (made possible by mpl.use('pgf')
), I get correct Arial font but my table inside becomes a mess [Fig 2]
http://imgur.com/4TckUyb.
Does anyone knows what is the difference between the two codes [Code]
https://gist.github.com/arnaldorusso/e542b04245560300d4f7, and how
should I get a figure with Arial font and a table inside the figure area?
It's strange when I have to deal with latex codes and matplotlib... In a
simple plot (whitout LaTeX elements) I'd have set simply: font.family:
[sans-serif] and font.sans-serif: [Arial].
Is there a way to include tables inside a figure with another approach
(e.g. whithout using LaTeX)?
At least but not less important: The figures in their different part of
the [Code] https://gist.github.com/arnaldorusso/e542b04245560300d4f7,
must be executed in different session. If I run everything in a simple
console, I really dont know which parameter is maintained, but Arial is not
used (in the second plot).
[Fig 1] http://imgur.com/J1A01h5
[Fig 2] http://imgur.com/4TckUyb
[Code] https://gist.github.com/arnaldorusso/e542b04245560300d4f7
Thank you all!
Cheers,
Arnaldo.
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Re: [Matplotlib-users] Marker Edge Width Bug
This should be fixed in 1.4.3 (which currently has a release candidate out and barring calamities will be released this weekend). On Wed Feb 04 2015 at 9:44:54 AM Aston630 gael.grissonnanc...@gmail.com wrote: Hi, I recently updated Matplotlib from 1.3.1 to 1.4.2, and I observe now a bug that is: when I plot points, meaning 'markers', if I use markeredgewidth = 0, in order to remove the edge of the marker, it was working very well on 1.3.1 version, but now the points are just gone on the Matplotlib window! But hold it, when I print the figure pdf, the points are there as before... Here is the code I use : plt.setp(line, ls =, c = color, lw = 2, marker = o, mfc = color, ms = 7, mec = color, mew= 2) # set properties Thank you very much for you help -- View this message in context: http://matplotlib.1069221.n5. nabble.com/Marker-Edge-Width-Bug-tp44800.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Do animations work in Notebook on Mac?
The nbagg UAT has an animation example: https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/backends/web_backend/nbagg_uat.ipynb that should work on 1.4.2. Tom On Mon Feb 02 2015 at 11:17:15 AM Benjamin Root ben.r...@ou.edu wrote: There have been many fixes to the nbagg backend that I think are lined up for the upcoming 1.4.3 release (the release candidate was tagged yesterday). Perhaps it has been fixed there? What version did you upgrade from? Cheers! Ben Root On Mon, Feb 2, 2015 at 10:42 AM, Mark Bakker mark...@gmail.com wrote: Hello List, I could swear that animations used to work inside a Notebook using the nbagg backend on my Mac. But they seem not to do anything anymore. Just updated to mpl 1.4.2 and am running IPython 2.3.1. Can anybody get the basic example to work: http://matplotlib.org/1. 4.2/examples/animation/basic_example.html Thanks, Mark -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib backend nbagg does not show figure in iPython Notebook
See https://github.com/ipython/ipython/issues/7351 and https://github.com/matplotlib/matplotlib/pull/4002 On Sat Feb 07 2015 at 4:15:26 PM Benjamin Root ben.r...@ou.edu wrote: Hmm, that should work. I notice that you are using the beta 3.0 ipython release. Perhaps something is broken in the beta? Could you try downgrading ipython (and the notebook server, they are separate packages, I think)? Ben Root P.S. - Do Reply-All so that your responses stay on the mailing list. On Sat, Feb 7, 2015 at 2:02 PM, FJ fjan...@yahoo.com wrote: I'm running the ipython server on a remote linux machine and using chrome browser on my windows 7 desktop. I start the notebook with : ipython notebook --ip 0.0.0.0 I've tried this both inside and out of a virtualenv virtual environment with same results. thanks. -- *From:* Benjamin Root ben.r...@ou.edu *To:* fjanoos fjan...@yahoo.com *Cc:* Matplotlib Users matplotlib-users@lists.sourceforge.net *Sent:* Saturday, February 7, 2015 9:24 AM *Subject:* Re: [Matplotlib-users] Matplotlib backend nbagg does not show figure in iPython Notebook How did you start ipython? On Sat, Feb 7, 2015 at 2:27 AM, fjanoos fjan...@yahoo.com wrote: hi Benjamin This sequence in a new notebook: %matplotlib nbagg import matplotlib as mpl import matplotlib.pyplot as plt plt.plot(range(100)) also results in exactly the same result - the figure placeholder (not sure what the exact term is) but no figure inside it. Regards. -- *From:* Benjamin Root-2 [via matplotlib] [hidden email] *To:* fjanoos [hidden email] *Sent:* Thursday, February 5, 2015 9:45 PM *Subject:* Re: Matplotlib backend nbagg does not show figure in iPython Notebook Selecting a backend must be first before any other matplotlib actions. Typically, ipython magics (the %matplotlib commands) are kept at the top anyway. I hope that clears it up. Ben Root On Feb 5, 2015 5:22 PM, fjanoos [hidden email] wrote: Hello, I'm running the following configuration Python 2.7.6 (default, Feb 5 2015, 00:21:43) IPython 3.0.0-b1 matplotlib '1.4.2' The version of the notebook server is 3.0.0-b1-ee6223a. This is running on linux 3.16.0-0.bpo.4-amd64 #1 SMP Debian 3.16.7-ckt2-1~bpo70+1 (2014-12-08) x86_64 GNU/Linux I set up matplotlib as follows: import matplotlib as mpl import matplotlib.pyplot as plt %matplotlib nbagg Then running this command: plt.plot(range(100)) only displays a box (with resize, zoom, pan, etc controls) - but does not show the figure itself (see figure). http://matplotlib.1069221.n5.nabble.com/file/n44812/Untitled.png Also, when I click on any part of the figure, I get a slew of the following message on stderr: [IPKernelApp] ERROR | No such comm: 29281512bed24f259572bc6f0ea8d249 On the other hand, plt.plot(range(100)) plt.show() shows nothing at all. However, this %matplotlib inline plt.plot(range(100)) displays the figure as expected. What is going on ? How can I enable the new notebook backend for matplotlib ? Thanks. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Matplotlib-backend-nbagg-does-not-show-figure-in-iPython-Notebook-tp44812.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Matplotlib-backend-nbagg-does-not-show-figure-in-iPython-Notebook-tp44812p44813.html To unsubscribe from Matplotlib backend nbagg does not show figure in iPython Notebook, click here. NAML
Re: [Matplotlib-users] [matplotlib-devel] v1.4.3rc1
Sandro, Well, creating the tarball on GH is a lot easier for us as it happens automatically! I don't want to unilaterally change policy so I will create the files on SF. If you want to tracking GH for debian instead of SF I don't think that would be a bad idea, but I don't know how much of a hassle that would be for you. Tom On Sat Feb 07 2015 at 4:14:36 PM Sandro Tosi mo...@debian.org wrote: On Sat, Feb 7, 2015 at 9:05 PM, Thomas Caswell tcasw...@gmail.com wrote: Sandro, Can you use the tarball from github (https://github.com/matplotlib/matplotlib/archive/v1.4.3rc1.tar.gz ?) Sure I can, but since all the previous release (even RC) were done one SF, we have our tools to monitor and download new releases pointing to SF: do you plan to switch to GH for releasing tarballs too? Cheers, -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] v1.4.3rc1
Sandro, Can you use the tarball from github ( https://github.com/matplotlib/matplotlib/archive/v1.4.3rc1.tar.gz ?) Tom On Sat Feb 07 2015 at 4:01:01 PM Sandro Tosi mo...@debian.org wrote: Hi Thomas, On Mon, Feb 2, 2015 at 5:37 AM, Thomas Caswell tcasw...@gmail.com wrote: Evening all, I have tagged the first release candidate for v1.4.3 (https://github.com/matplotlib/matplotlib/releases/tag/v1.4.3rc1). ... Please kick the tires and give it a try! If there are no major issues, the plan is to target 1.4.3 for next weekend. could you also release a tarball on SF, so I can start updating the debian package and give it a spin on our distro? Cheers, -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib backend nbagg does not show figure in iPython Notebook
Yes, I think that if you want to use ipython 3.0 you need to use mpl 1.4.3 or master. Tom On Sat Feb 07 2015 at 4:21:19 PM Benjamin Root ben.r...@ou.edu wrote: So, the user needs to use 1.4.3? On Sat, Feb 7, 2015 at 4:17 PM, Thomas Caswell tcasw...@gmail.com wrote: See https://github.com/ipython/ipython/issues/7351 and https://github.com/matplotlib/matplotlib/pull/4002 On Sat Feb 07 2015 at 4:15:26 PM Benjamin Root ben.r...@ou.edu wrote: Hmm, that should work. I notice that you are using the beta 3.0 ipython release. Perhaps something is broken in the beta? Could you try downgrading ipython (and the notebook server, they are separate packages, I think)? Ben Root P.S. - Do Reply-All so that your responses stay on the mailing list. On Sat, Feb 7, 2015 at 2:02 PM, FJ fjan...@yahoo.com wrote: I'm running the ipython server on a remote linux machine and using chrome browser on my windows 7 desktop. I start the notebook with : ipython notebook --ip 0.0.0.0 I've tried this both inside and out of a virtualenv virtual environment with same results. thanks. -- *From:* Benjamin Root ben.r...@ou.edu *To:* fjanoos fjan...@yahoo.com *Cc:* Matplotlib Users matplotlib-users@lists.sourceforge.net *Sent:* Saturday, February 7, 2015 9:24 AM *Subject:* Re: [Matplotlib-users] Matplotlib backend nbagg does not show figure in iPython Notebook How did you start ipython? On Sat, Feb 7, 2015 at 2:27 AM, fjanoos fjan...@yahoo.com wrote: hi Benjamin This sequence in a new notebook: %matplotlib nbagg import matplotlib as mpl import matplotlib.pyplot as plt plt.plot(range(100)) also results in exactly the same result - the figure placeholder (not sure what the exact term is) but no figure inside it. Regards. -- *From:* Benjamin Root-2 [via matplotlib] [hidden email] *To:* fjanoos [hidden email] *Sent:* Thursday, February 5, 2015 9:45 PM *Subject:* Re: Matplotlib backend nbagg does not show figure in iPython Notebook Selecting a backend must be first before any other matplotlib actions. Typically, ipython magics (the %matplotlib commands) are kept at the top anyway. I hope that clears it up. Ben Root On Feb 5, 2015 5:22 PM, fjanoos [hidden email] wrote: Hello, I'm running the following configuration Python 2.7.6 (default, Feb 5 2015, 00:21:43) IPython 3.0.0-b1 matplotlib '1.4.2' The version of the notebook server is 3.0.0-b1-ee6223a. This is running on linux 3.16.0-0.bpo.4-amd64 #1 SMP Debian 3.16.7-ckt2-1~bpo70+1 (2014-12-08) x86_64 GNU/Linux I set up matplotlib as follows: import matplotlib as mpl import matplotlib.pyplot as plt %matplotlib nbagg Then running this command: plt.plot(range(100)) only displays a box (with resize, zoom, pan, etc controls) - but does not show the figure itself (see figure). http://matplotlib.1069221.n5.nabble.com/file/n44812/Untitled.png Also, when I click on any part of the figure, I get a slew of the following message on stderr: [IPKernelApp] ERROR | No such comm: 29281512bed24f259572bc6f0ea8d249 On the other hand, plt.plot(range(100)) plt.show() shows nothing at all. However, this %matplotlib inline plt.plot(range(100)) displays the figure as expected. What is going on ? How can I enable the new notebook backend for matplotlib ? Thanks. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Matplotlib-backend-nbagg-does-not-show-figure-in-iPython-Notebook-tp44812.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5
Re: [Matplotlib-users] Fwd: Keep list of figures or plots and flip through list using UI
Probably in the embedding examples. There was an effort to start a mpl specific cook book a while a ago based around a wx/glade example but I have lost track of where that is. Tom On Wed, Feb 18, 2015, 12:49 Ryan Nelson rnelsonc...@gmail.com wrote: Tom et al., I don't know about this exact application... However, a couple of months ago, I asked on the Scipy mailing list about updating the Scipy cookbook page for Qt/Matplotlib ( http://wiki.scipy.org/Cookbook/Matplotlib/Qt_with_IPython_and_Designer), but I never got a response. The cookbook example is terribly out of date, so I worked out a pretty simple example that essentially reproduces the Qt backend plotting window. See my post ( http://mail.scipy.org/pipermail/scipy-dev/2014-December/020258.html) for an initial version of the code. I may have updated it since that time. If you are asking for an example for the MPL docs, I would be happy to write my example up with some picts, if you could tell me where the most appropriate place in the documentation would be for such an addition. (However, it sounds like Creator will supersede Designer for Qt5 so...) Ryan On Wed, Feb 18, 2015 at 12:31 PM, Thomas Caswell tcasw...@gmail.com wrote: A good tutorial on how to make mpl play nice with QtDesigner would be a useful thing to have in the documentation. It would be appreciated if you could take a crack at writing that up. Tom -- Forwarded message - From: tenspd137 . dcday...@gmail.com Date: Wed Feb 18 2015 at 12:25:10 PM Subject: Re: [Matplotlib-users] Keep list of figures or plots and flip through list using UI To: Thomas Caswell tcasw...@gmail.com Funny thing - shortly after I wrote you - I figured it out. I have a GUI/Dialog I created with designer that has a push button which cycles between two plots I stored in a list. If you would like to see my code, I would be more than happy to share. It isn't fabulous, but it show the mechanics. I will also take a look at what you just posted above. Much appreciated! -C On Wed, Feb 18, 2015 at 10:19 AM, Thomas Caswell tcasw...@gmail.com wrote: Please ping the mailing list again (I cc'd the list on this). See https://github.com/tacaswell/leidenfrost/blob/master/ leidenfrost/gui/reader_gui.py#L636 (sorry for the code quality, this is a bespoked gui I wrote as part of my PhD work, you might be the second person to ever read this code) for a Qt object that wraps up a `Figure` in a nice-embedded way. Using this directly you can keep a list of these objects around and show/hide them using standard Qt methods. Modifying this a bit you could make this class based on a standard Qt widget, embed them all in a main window/what have you and then again use standard Qt methods to show/hide individual plots as you wish. Tom On Wed Feb 18 2015 at 12:00:27 PM tenspd137 . dcday...@gmail.com wrote: Sorry for digging this back up, but I can't seem to get this to work. I looked at glue as you suggested, but the page says it only supports python 2.7. As for the Qt examples I can find, all I see how to do is to feed a single plot widget different data sets - but nothing on dynamically changing the underlying widget and redrawing. Would you maybe take a look at my code and tell me what it is I am missing? If so, I'll send it to you. Much appreciated. -C On Tue, Feb 10, 2015 at 6:48 PM, tenspd137 . dcday...@gmail.com wrote: No problem - thanks for the reply. I tried your suggestion of keeping a widget for each plot, but I couldn't get the main window to refresh correctly - maybe I was doing something wrong. I'll give it another try as soon as I get a chance. In the meantime, I'll check out glue as well - it looks pretty cool. I might bug you one more time if I can't figure it out, but I am not in a hurry and I probably just overlooked something. :) Thanks and much appreciated! -C On Tue, Feb 10, 2015 at 2:44 PM, Thomas Caswell tcasw...@gmail.com wrote: Sorry this didn't get a response for so long. The core of the embedding in Qt is at QWidget which contains the canvas. Anything you want to do with a QWidget you can do with the canvas. Independently you need to maintain the mpl level plotting objects (the Figure, Axes, and Artist objects) (well, you don't _need_ to, you can get to them through the canvas object, but to keep your self sane I highly recommend keeping track of the mpl objects your self, this linkage is there so that GUI generated draw commands can trigger a re-rendering of the figure). I would just have a widget for each of the plots you want to have and then cycle which one is visible in the main window, that is probably a lot easier than trying to attach and detach canvases from Figures. I would also take a look at glue http://www.glueviz.org/en/stable
[Matplotlib-users] Fwd: Keep list of figures or plots and flip through list using UI
A good tutorial on how to make mpl play nice with QtDesigner would be a useful thing to have in the documentation. It would be appreciated if you could take a crack at writing that up. Tom -- Forwarded message - From: tenspd137 . dcday...@gmail.com Date: Wed Feb 18 2015 at 12:25:10 PM Subject: Re: [Matplotlib-users] Keep list of figures or plots and flip through list using UI To: Thomas Caswell tcasw...@gmail.com Funny thing - shortly after I wrote you - I figured it out. I have a GUI/Dialog I created with designer that has a push button which cycles between two plots I stored in a list. If you would like to see my code, I would be more than happy to share. It isn't fabulous, but it show the mechanics. I will also take a look at what you just posted above. Much appreciated! -C On Wed, Feb 18, 2015 at 10:19 AM, Thomas Caswell tcasw...@gmail.com wrote: Please ping the mailing list again (I cc'd the list on this). See https://github.com/tacaswell/leidenfrost/blob/master/ leidenfrost/gui/reader_gui.py#L636 (sorry for the code quality, this is a bespoked gui I wrote as part of my PhD work, you might be the second person to ever read this code) for a Qt object that wraps up a `Figure` in a nice-embedded way. Using this directly you can keep a list of these objects around and show/hide them using standard Qt methods. Modifying this a bit you could make this class based on a standard Qt widget, embed them all in a main window/what have you and then again use standard Qt methods to show/hide individual plots as you wish. Tom On Wed Feb 18 2015 at 12:00:27 PM tenspd137 . dcday...@gmail.com wrote: Sorry for digging this back up, but I can't seem to get this to work. I looked at glue as you suggested, but the page says it only supports python 2.7. As for the Qt examples I can find, all I see how to do is to feed a single plot widget different data sets - but nothing on dynamically changing the underlying widget and redrawing. Would you maybe take a look at my code and tell me what it is I am missing? If so, I'll send it to you. Much appreciated. -C On Tue, Feb 10, 2015 at 6:48 PM, tenspd137 . dcday...@gmail.com wrote: No problem - thanks for the reply. I tried your suggestion of keeping a widget for each plot, but I couldn't get the main window to refresh correctly - maybe I was doing something wrong. I'll give it another try as soon as I get a chance. In the meantime, I'll check out glue as well - it looks pretty cool. I might bug you one more time if I can't figure it out, but I am not in a hurry and I probably just overlooked something. :) Thanks and much appreciated! -C On Tue, Feb 10, 2015 at 2:44 PM, Thomas Caswell tcasw...@gmail.com wrote: Sorry this didn't get a response for so long. The core of the embedding in Qt is at QWidget which contains the canvas. Anything you want to do with a QWidget you can do with the canvas. Independently you need to maintain the mpl level plotting objects (the Figure, Axes, and Artist objects) (well, you don't _need_ to, you can get to them through the canvas object, but to keep your self sane I highly recommend keeping track of the mpl objects your self, this linkage is there so that GUI generated draw commands can trigger a re-rendering of the figure). I would just have a widget for each of the plots you want to have and then cycle which one is visible in the main window, that is probably a lot easier than trying to attach and detach canvases from Figures. I would also take a look at glue http://www.glueviz.org/en/stable/installation.html who may have solved many of these problems for you. Tom On Thu Feb 05 2015 at 1:03:16 PM tenspd137 . dcday...@gmail.com wrote: Hi all, I often have scripts that make a lot of plots, and I would like to be able to create the plots and then have a UI tool that shows a list of their titles, click on the title and have the plot be drawn in a window. So far, I have been able to use PyQt to create a UI with a list box and a Widget to display plots. What I can't seem to figure out is how to make a bunch of plots and then have the Window update. So, in psuedo code: list of plots = [] Go through datasets: plots.append(plot(dataset)) For plot in plots: add plot title to UI list, position in list is reference back into list of plots On UI: click on plot name/title widget draws plot So - basically like docked plots, except there is just a list to the side instead (much cleaner IMHO) I haven't been able to find any examples from googling. Has any one been able to do this or seen examples? Any help or suggestions are appreciated! Thanks! : -- Dive into the World of Parallel Programming. The Go Parallel
Re: [Matplotlib-users] Event errors in qt5 backend after recent commit
Can you put in a pull request with those changes please? On Wed, Feb 18, 2015, 17:03 Jorge Scandaliaris jorgesmbox...@yahoo.es wrote: Hi, A recent commit against lib/matplotlib/backends/backend_qt5.py [1] causes some errors in code that was working fine before. The error is as follows: --- TypeError Traceback (most recent call last) /home/jscandal/sw/matplotlib/matplotlib.py3/lib/matplotlib/backends /backend_qt5.py in enterEvent(self, event) 249 250 def enterEvent(self, event): -- 251 FigureCanvasBase.enter_notify_event(self, event, guiEvent=event) 252 253 def leaveEvent(self, event): TypeError: enter_notify_event() got multiple values for argument 'guiEvent' --- TypeError Traceback (most recent call last) /home/jscandal/sw/matplotlib/matplotlib.py3/lib/matplotlib/backends /backend_qt5.py in leaveEvent(self, event) 253 def leaveEvent(self, event): 254 QtWidgets.QApplication.restoreOverrideCursor() -- 255 FigureCanvasBase.leave_notify_event(self, event, guiEvent=event) 256 257 def mousePressEvent(self, event): TypeError: leave_notify_event() got multiple values for argument 'guiEvent' Reverting the changes introduced by the commit in lines 251 and 255 of backend_qt5.py seems to fix the issue, in my particular use case. Regards, Jorge 1. b72e0cd9e63f7cf4bec2908143c62c23666b674a Author: Steven Silvester steven.silves...@ieee.org Date: Sun Feb 15 09:38:21 2015 -0600 Add guiEvent data to Qt backend -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631; iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] matplotlib v1.4.3
Hello all, We are pleased to announce the release of matplotlib v1.4.3! Wheels, windows binaries and the source tarball are available through both source-forge [1] and pypi (via pip). Additionally the source is available tarball is available from github [2] and mac-wheels from http://wheels.scikit-image.org/. This is the last planned bug-fix release in the 1.4 series. Many bugs are fixed including: - fixing drawing of edge-only markers in AGG - fix run-away memory usage when using %inline or saving with a tight bounding box with QuadMesh artists - improvements to wx and tk gui backends Additionally the webagg and nbagg backends were brought closer to feature parity with the desktop backends with the addition of keyboard and scroll events thanks to Steven Silvester. The next planned release will be based on the 1.4.x series but will change the default colors and be tagged as version v2.0. The target release date is in the next month or two. The next feature release will be v2.1 targeted for around SciPy in July. Tom [1] https://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.4.3/ [2] https://github.com/matplotlib/matplotlib/releases/tag/v1.4.3 -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] matplotlib finance
Boris, Please direct such questions to the user list in the future (I have included the list on my reply). You may need to join the list to be able to post. The reason that mpl.finance was deprecated is that none of the current core developers work in finance and hence do not have the domain expertise to maintain the module. We are currently looking for a volunteer to take responsibility for that bit of code. I have no experience with plotting financial data and am hesitant to speculate about performance, but have gotten 20-30 fps out of mpl on other applications. Tom On Fri Jan 30 2015 at 1:19:47 PM tbad tbad2...@gmail.com wrote: Hello Thomas, - You write in Github that matplotlib finance is deprecated since matplotlib 1.4. What is instead of it? - Can you please advice on what to use if i want to use matplotlib for charting stocks, volume in different formats like candlesticks, tick charts, bar charts with technical analysis add-ons like moving averages etc.? I want to have charts with intra-day real time streaming with a lot of stocks (i have a data feed provider). Or the only way is to do everything manually? - And will matplotlib be capable of streaming a lot of stocks tick by tick without delays? - Also maybe there are other python packages useful for trading purposes? Thank you for any answers beforehand, Best regards, Boris -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] v1.4.3rc1
Evening all, I have tagged the first release candidate for v1.4.3 ( https://github.com/matplotlib/matplotlib/releases/tag/v1.4.3rc1). Although this is a bug-fix release, a fair amount of work has gone into making the nbagg (interactive figures in ipython notebooks) feature complete compared to the other interactive backends. Please kick the tires and give it a try! If there are no major issues, the plan is to target 1.4.3 for next weekend. The mac build has been started and (if I understand how these things work) should be available to install via pip install -f http://wheels.scikit-image.org --pre matplotlib soon. For linux anaconda users, packages for 2.6/2.7 python on my binstar channel (conda install -c https://conda.binstar.org/tacaswell matplotlib). The py3k builds have some issue with invalid syntax in pyqt4, if some knows how to build these, please let me know. Tom -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] using it in a Qt5-Widget
It should be exactly the same as for Qt4, just importing from the Qt5 version Tom On Wed Jan 28 2015 at 11:24:55 AM moon...@posteo.org wrote: I read the documentation a little bit. But I couldn't find a hint how to integrate a plot with matplotlib into a Qt5-Gui. -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] using it in a Qt5-Widget
http://matplotlib.org/examples/user_interfaces/embedding_in_qt4_wtoolbar.html and http://matplotlib.org/examples/user_interfaces/embedding_in_qt4.html are a good place to start. Embedding a mpl figure in a QWidget is how the QtAgg backend family works and how the interactive windows work. Tom On Wed Jan 28 2015 at 2:39:16 PM moon...@posteo.org wrote: On 2015-01-28 16:25 Thomas Caswell tcasw...@gmail.com wrote: It should be exactly the same as for Qt4, just importing from the Qt5 version Sorry, but my question was to unspecific. I don't know how it worked with Qt4. I need to know I can draw a plot into a QWidget or something else. I couldn't find an example or documentation about it. -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] v1.4.3rc1
Sorry about the bad tarball, I forgot to clean my git directory before generating it. Another point in favor of using the gh tarball, I can't screw it up. This is the first I have seen that CVE. That PR is not included in 1.4.3 because it completely over-hauls how the Agg rendering works (and generated a whole bunch of other bugs along the way). Mike: Is there a way to fix up the security issues reported on just the 1.4.x branch with out pulling that whole patch back? Tom On Sun Feb 08 2015 at 7:47:00 PM Benjamin Root ben.r...@ou.edu wrote: Please ignore my test failure report. I was accidentally running an older install of matplotlib from the same branch. Ben Root On Sat, Feb 7, 2015 at 9:08 PM, Benjamin Root ben.r...@ou.edu wrote: I am getting some test failures here and on master in the collections module. == FAIL: __main__.test_regularpolycollection_rotate.test -- Traceback (most recent call last): File /home/ben/miniconda/lib/python2.7/site-packages/nose/case.py, line 197, in runTest self.test(*self.arg) File /home/ben/.local/lib/python2.7/site-packages/matplotlib-1.4.x-py2.7-linux-x86_64.egg/matplotlib/testing/decorators.py, line 51, in failer result = f(*args, **kwargs) File /home/ben/.local/lib/python2.7/site-packages/matplotlib-1.4.x-py2.7-linux-x86_64.egg/matplotlib/testing/decorators.py, line 196, in do_test '(RMS %(rms).3f)'%err) ImageComparisonFailure: images not close: /home/ben/Programs/matplotlib/result_images/test_collections/regularpolycollection_rotate.png vs. /home/ben/Programs/matplotlib/result_images/test_collections/regularpolycollection_rotate-expected.png (RMS 54.618) == FAIL: __main__.test_regularpolycollection_scale.test -- Traceback (most recent call last): File /home/ben/miniconda/lib/python2.7/site-packages/nose/case.py, line 197, in runTest self.test(*self.arg) File /home/ben/.local/lib/python2.7/site-packages/matplotlib-1.4.x-py2.7-linux-x86_64.egg/matplotlib/testing/decorators.py, line 51, in failer result = f(*args, **kwargs) File /home/ben/.local/lib/python2.7/site-packages/matplotlib-1.4.x-py2.7-linux-x86_64.egg/matplotlib/testing/decorators.py, line 196, in do_test '(RMS %(rms).3f)'%err) ImageComparisonFailure: images not close: /home/ben/Programs/matplotlib/result_images/test_collections/regularpolycollection_scale.png vs. /home/ben/Programs/matplotlib/result_images/test_collections/regularpolycollection_scale-expected.png (RMS 120.828) -- Ran 54 tests in 15.149s FAILED (failures=2) The squares in the first test are larger than they should be. I have some other errors, but they seem to other be floating point errors, or issues with fonts. Ben Root On Sat, Feb 7, 2015 at 4:46 PM, Thomas Caswell tcasw...@gmail.com wrote: Sandro, Well, creating the tarball on GH is a lot easier for us as it happens automatically! I don't want to unilaterally change policy so I will create the files on SF. If you want to tracking GH for debian instead of SF I don't think that would be a bad idea, but I don't know how much of a hassle that would be for you. Tom On Sat Feb 07 2015 at 4:14:36 PM Sandro Tosi mo...@debian.org wrote: On Sat, Feb 7, 2015 at 9:05 PM, Thomas Caswell tcasw...@gmail.com wrote: Sandro, Can you use the tarball from github (https://github.com/matplotlib/matplotlib/archive/v1.4.3rc1.tar.gz ?) Sure I can, but since all the previous release (even RC) were done one SF, we have our tools to monitor and download new releases pointing to SF: do you plan to switch to GH for releasing tarballs too? Cheers, -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-devel mailing list matplotlib-de...@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub
Re: [Matplotlib-users] Bug in matplotlib 1.4.2
Can you test with 1.4.3rc1? I believe this has been fixed. On Mon Feb 09 2015 at 1:07:28 PM Alex Böhnert alex.boehn...@gmail.com wrote: Dear all, when plotting scattered data with the , marker, the data points do not show up either on screen (Qt4Agg backend) or in saved bitmap images (tested with png); they do show up if the plot is exported as pdf. Example code (run in ipython --pylab for simplicity): import numpy as np a = np.random.standard_normal(500) b = np.random.standard_normal(500) plot(a,b,',') savefig(testplot.png) savefig(testplot.pdf) Expected result: Scatter plot of random data points, both on screen and in saved files. Actual result: Empty-looking plot both on screen and in png, but plot as expected in pdf. System info: Arch linux, Kernel 3.17.6 (and 3.18.6), matplotlib version 1.4.2, Python 3.4.2, IPython 2.3.1., numpy version 1.9.1, Qt4Agg backend. Related: I posted this to the arch-bugtracker ( https://bugs.archlinux.org/task/43392) and asked on stack overflow whether anyone else saw this ( http://stackoverflow.com/questions/28112916/python-matplotlib-does-not-display-data-points-bug-or-something-else). Apparently, the same thing happens in Ubuntu, too. Hope this is the right place to report this. Cheers, Alex P.S.: I sent the same mail to the list a few weeks ago without registering, but it was never posted, nor replied to. It might be a good idea not to suggest at http://matplotlib.org/faq/troubleshooting_faq.html#getting-help that just sending a mail to the list will achieve anything... -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Keep list of figures or plots and flip through list using UI
Sorry this didn't get a response for so long. The core of the embedding in Qt is at QWidget which contains the canvas. Anything you want to do with a QWidget you can do with the canvas. Independently you need to maintain the mpl level plotting objects (the Figure, Axes, and Artist objects) (well, you don't _need_ to, you can get to them through the canvas object, but to keep your self sane I highly recommend keeping track of the mpl objects your self, this linkage is there so that GUI generated draw commands can trigger a re-rendering of the figure). I would just have a widget for each of the plots you want to have and then cycle which one is visible in the main window, that is probably a lot easier than trying to attach and detach canvases from Figures. I would also take a look at glue http://www.glueviz.org/en/stable/installation.html who may have solved many of these problems for you. Tom On Thu Feb 05 2015 at 1:03:16 PM tenspd137 . dcday...@gmail.com wrote: Hi all, I often have scripts that make a lot of plots, and I would like to be able to create the plots and then have a UI tool that shows a list of their titles, click on the title and have the plot be drawn in a window. So far, I have been able to use PyQt to create a UI with a list box and a Widget to display plots. What I can't seem to figure out is how to make a bunch of plots and then have the Window update. So, in psuedo code: list of plots = [] Go through datasets: plots.append(plot(dataset)) For plot in plots: add plot title to UI list, position in list is reference back into list of plots On UI: click on plot name/title widget draws plot So - basically like docked plots, except there is just a list to the side instead (much cleaner IMHO) I haven't been able to find any examples from googling. Has any one been able to do this or seen examples? Any help or suggestions are appreciated! Thanks! : -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] quiverkey() doesn't plot the reference vector?
This is probably related to the Agg renderer issue with edge-only markers.
On Wed Feb 18 2015 at 7:14:22 PM Eric Firing efir...@hawaii.edu wrote:
On 2015/02/18 2:00 PM, Thomas Caswell wrote:
Is this just on master or with 1.4.x?
It's on 1.4.1 and 1.4.2, but not on 1.4.3 or master or 1.4.0. Therefore
I won't enter it as an issue.
I don't know what went wrong with this in those two bugfix releases.
Eric
On Wed Feb 18 2015 at 6:00:26 PM Eric Firing efir...@hawaii.edu
mailto:efir...@hawaii.edu wrote:
On 2015/02/18 9:52 AM, njs wrote:
Hi All,
I'm having issues with quiver, and quiverkey() although, I have
never
experienced these issues in the past. I attached an image to
this post that
demonstrates that quiver_key() used to work for me, this image
was generated
on 17-Jul-2014. However, if I run this exact same code (see
below for the
code), the quiver key reference on the top right does not get
plotted, but
the text will. I haven't changed anything, but I think there
have been some
package updates between then and now. For what it's worth, I've
tried many
different ways to generate the quiverkey() and haven't had any
luck. Has
anyone else experienced similar issues?
That's alarming! I can reproduce the problem even with the standard
mpl
example--the arrow is missing in 5 out of the 6 plots. I will file a
github issue. Thanks for the report.
Eric
Thanks for any insights!
Working quiverkey():
http://matplotlib.1069221.n5.__nabble.com/file/n44968/qkey.__png
http://matplotlib.1069221.n5.nabble.com/file/n44968/qkey.png
quiverkey() doesn't work anymore...:
http://matplotlib.1069221.n5.__nabble.com/file/n44968/qkey_1.__png
http://matplotlib.1069221.n5.nabble.com/file/n44968/qkey_1.png
Code:
fig = plt.figure(figsize=(12,12))
map = Basemap(projection = 'cyl', llcrnrlat = -30,
urcrnrlat = 90, \
llcrnrlon = 0, urcrnrlon = 360, resolution =
'c')
[x,y] = N.meshgrid(lons,lats)
[x,y] = map(x,y)
[xulr,yulr] = N.meshgrid(lons1,lats1)
[xulr,yulr] = map(xulr,yulr)
clevs = N.arange(-50,51,5)
cs = map.contourf(x,y,hgt500aComp[_
_lag,:,:],cmap='RdBu_r',
levels = clevs)
cs1 =
map.contour(x,y,hgt500Comp[__lag,:,:],N.arange(1110,1230,6)__, \
colors='purple',linewidth=100,__linestyle = 'dashed')
cs1 = map.contour(x,y,hgt500aComp[__lag,:,:],levels =
clevs,
colors = 'black')
colors=[(244,2,255),(36,26,__232),(255,255,255),(8,232,61),
__(224,255,0)]
cmap = mF.make_cmap(colors, position=None, bit=True)
clevs = N.arange(-30,30.025,.025)
cs2 = map.contourf(xulr,yulr,__
olrComp[lag,:,:],cmap=cmap,
levels = clevs)
Q =
map.quiver(x[::2,::2],y[::2,::__2],u850Comp[lag,::2,::2],
v850Comp[lag,::2,::2],width = 0.002,scale = 50)
map.drawcoastlines(linewidth = 1)
map.drawcountries(linewidth = 0.5)
map.fillcontinents(zorder = 0)
map.drawmeridians(N.arange(0,__360,30))
map.drawparallels(N.arange(-__90,90,30))
title = plt.title('Lag: {0} | Transition Cases | n =
{1}'.format(lag-30,len(cases))__)
title.set_fontweight('bold')
axt = fig.add_axes([.15,.35,.3,.01])
cbar = plt.colorbar(cs,cax = axt,orientation =
'horizontal')
cbar.set_label('500-hPa Anomaly (m)')
cbar.set_ticks(N.arange(-50,__51,25))
cs1.clabel(fmt = '%d')
axt = fig.add_axes([.58,.35,.3,.01])
cbar2 = plt.colorbar(cs2,cax = axt,orientation =
'horizontal')
cbar2.set_label(r'OLR Anomaly ($W m^{-2}$)')
cbar2.set_ticks(N.arange(-30,__31,10))
qk = plt.quiverkey(Q,0.95,1.05,1.0,__r'1 $m
s^{-1}$',labelpos='E')
--
View this message in context:
http://matplotlib.1069221.n5.__nabble.com/quiverkey-doesn-t-
__plot-the-reference-vector-__tp44968.html
http://matplotlib.1069221.n5.nabble.com/quiverkey-doesn-t-
plot-the-reference-vector-tp44968.html
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Nabble.com.
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Re: [Matplotlib-users] what are the new features of nbagg?
Recent means IPython 2.4. For 3.0 %matplotlib notebook will also work. Tom On Wed Feb 18 2015 at 7:25:41 PM Eric Firing efir...@hawaii.edu wrote: On 2015/02/18 6:44 AM, Emilia Petrisor wrote: Hi all, I looked for a link where I could find out what’s new in |matplotlib 1.4.3|, but there is no one. Especially I’m interested in the new features of |nbagg backend|. All I know is what I read in an email here, namely that /The nbagg backend is looking great - some pretty swish new features/. Thanks, Emilia In a recent IPython, try starting up a notebook and using %matplotlib nbagg You will find that the embedded plot is fully interactive, complete with a cursor readout and navigation buttons. I think that's the new part. Eric -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631; iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] what are the new features of nbagg?
Interesting, I was going off what the IPython devs said here https://github.com/ipython/ipython/issues/7774 On Wed Feb 18 2015 at 7:48:32 PM Eric Firing efir...@hawaii.edu wrote: On 2015/02/18 2:31 PM, Thomas Caswell wrote: Recent means IPython 2.4. Did you mean 2.2? It works on 2.3. Eric For 3.0 %matplotlib notebook will also work. Tom On Wed Feb 18 2015 at 7:25:41 PM Eric Firing efir...@hawaii.edu mailto:efir...@hawaii.edu wrote: On 2015/02/18 6:44 AM, Emilia Petrisor wrote: Hi all, I looked for a link where I could find out what’s new in |matplotlib 1.4.3|, but there is no one. Especially I’m interested in the new features of |nbagg backend|. All I know is what I read in an email here, namely that /The nbagg backend is looking great - some pretty swish new features/. Thanks, Emilia In a recent IPython, try starting up a notebook and using %matplotlib nbagg You will find that the embedded plot is fully interactive, complete with a cursor readout and navigation buttons. I think that's the new part. Eric --__ --__-- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.__net/gampad/clk?id=190641631__ iu=/4140/ostg.clktrk http://pubads.g.doubleclick.net/gampad/clk?id=190641631; iu=/4140/ostg.clktrk _ Matplotlib-users mailing list Matplotlib-users@lists.__sourceforge.net mailto:Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/__lists/listinfo/matplotlib-__users https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] quiverkey() doesn't plot the reference vector?
Is this just on master or with 1.4.x?
On Wed Feb 18 2015 at 6:00:26 PM Eric Firing efir...@hawaii.edu wrote:
On 2015/02/18 9:52 AM, njs wrote:
Hi All,
I'm having issues with quiver, and quiverkey() although, I have never
experienced these issues in the past. I attached an image to this post
that
demonstrates that quiver_key() used to work for me, this image was
generated
on 17-Jul-2014. However, if I run this exact same code (see below for
the
code), the quiver key reference on the top right does not get plotted,
but
the text will. I haven't changed anything, but I think there have been
some
package updates between then and now. For what it's worth, I've tried
many
different ways to generate the quiverkey() and haven't had any luck. Has
anyone else experienced similar issues?
That's alarming! I can reproduce the problem even with the standard mpl
example--the arrow is missing in 5 out of the 6 plots. I will file a
github issue. Thanks for the report.
Eric
Thanks for any insights!
Working quiverkey():
http://matplotlib.1069221.n5.nabble.com/file/n44968/qkey.png
quiverkey() doesn't work anymore...:
http://matplotlib.1069221.n5.nabble.com/file/n44968/qkey_1.png
Code:
fig = plt.figure(figsize=(12,12))
map = Basemap(projection = 'cyl', llcrnrlat = -30, urcrnrlat =
90, \
llcrnrlon = 0, urcrnrlon = 360, resolution = 'c')
[x,y] = N.meshgrid(lons,lats)
[x,y] = map(x,y)
[xulr,yulr] = N.meshgrid(lons1,lats1)
[xulr,yulr] = map(xulr,yulr)
clevs = N.arange(-50,51,5)
cs = map.contourf(x,y,hgt500aComp[lag,:,:],cmap='RdBu_r',
levels = clevs)
cs1 = map.contour(x,y,hgt500Comp[lag,:,:],N.arange(1110,1230,6),
\
colors='purple',linewidth=100,linestyle =
'dashed')
cs1 = map.contour(x,y,hgt500aComp[lag,:,:],levels = clevs,
colors = 'black')
colors=[(244,2,255),(36,26,232),(255,255,255),(8,232,61),(224,255,0)]
cmap = mF.make_cmap(colors, position=None, bit=True)
clevs = N.arange(-30,30.025,.025)
cs2 = map.contourf(xulr,yulr,olrComp[lag,:,:],cmap=cmap,
levels = clevs)
Q = map.quiver(x[::2,::2],y[::2,::2],u850Comp[lag,::2,::2],
v850Comp[lag,::2,::2],width = 0.002,scale = 50)
map.drawcoastlines(linewidth = 1)
map.drawcountries(linewidth = 0.5)
map.fillcontinents(zorder = 0)
map.drawmeridians(N.arange(0,360,30))
map.drawparallels(N.arange(-90,90,30))
title = plt.title('Lag: {0} | Transition Cases | n =
{1}'.format(lag-30,len(cases)))
title.set_fontweight('bold')
axt = fig.add_axes([.15,.35,.3,.01])
cbar = plt.colorbar(cs,cax = axt,orientation = 'horizontal')
cbar.set_label('500-hPa Anomaly (m)')
cbar.set_ticks(N.arange(-50,51,25))
cs1.clabel(fmt = '%d')
axt = fig.add_axes([.58,.35,.3,.01])
cbar2 = plt.colorbar(cs2,cax = axt,orientation = 'horizontal')
cbar2.set_label(r'OLR Anomaly ($W m^{-2}$)')
cbar2.set_ticks(N.arange(-30,31,10))
qk = plt.quiverkey(Q,0.95,1.05,1.0,r'1 $m
s^{-1}$',labelpos='E')
--
View this message in context: http://matplotlib.1069221.n5.
nabble.com/quiverkey-doesn-t-plot-the-reference-vector-tp44968.html
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Re: [Matplotlib-users] Event errors in qt5 backend after recent commit
Jorge, I have put in a PR to fix this issue. Can you confirm that it is equivalent to your fix? For aesthetic reasons I chose to pass guiEvent as a kwarg to all of the event related functions. https://github.com/matplotlib/matplotlib/pull/4130 Tom On Wed Feb 18 2015 at 5:32:04 PM Thomas Caswell tcasw...@gmail.com wrote: Can you put in a pull request with those changes please? On Wed, Feb 18, 2015, 17:03 Jorge Scandaliaris jorgesmbox...@yahoo.es wrote: Hi, A recent commit against lib/matplotlib/backends/backend_qt5.py [1] causes some errors in code that was working fine before. The error is as follows: --- TypeError Traceback (most recent call last) /home/jscandal/sw/matplotlib/matplotlib.py3/lib/matplotlib/backends /backend_qt5.py in enterEvent(self, event) 249 250 def enterEvent(self, event): -- 251 FigureCanvasBase.enter_notify_event(self, event, guiEvent=event) 252 253 def leaveEvent(self, event): TypeError: enter_notify_event() got multiple values for argument 'guiEvent' --- TypeError Traceback (most recent call last) /home/jscandal/sw/matplotlib/matplotlib.py3/lib/matplotlib/backends /backend_qt5.py in leaveEvent(self, event) 253 def leaveEvent(self, event): 254 QtWidgets.QApplication.restoreOverrideCursor() -- 255 FigureCanvasBase.leave_notify_event(self, event, guiEvent=event) 256 257 def mousePressEvent(self, event): TypeError: leave_notify_event() got multiple values for argument 'guiEvent' Reverting the changes introduced by the commit in lines 251 and 255 of backend_qt5.py seems to fix the issue, in my particular use case. Regards, Jorge 1. b72e0cd9e63f7cf4bec2908143c62c23666b674a Author: Steven Silvester steven.silves...@ieee.org Date: Sun Feb 15 09:38:21 2015 -0600 Add guiEvent data to Qt backend -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631iu=/ 4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3
We do support ubuntu, travis.ci (which we use for continuous integration testing) is ubuntu based and my main development box is ubuntu (but I mostly work inside conda environments rather than virtualenvs these days). Even though it is the worst thing for a dev to say, 'it works on my machine'. Part of the problem here is that it looks like you are doing system-wide installations from source so you have almost certainly driven your system into an inconsistent state. Unless you know enough sys-admin magic to ensure you won't step on the toes of the system packages, I strongly suggest _never_ using sudo to install python packages. Either use venv/conda or install into a directory in your home directory and modify $PYTHONPATH as needed. I know it is frustrating, but there isn't a whole lot we can do to help you with you knowing exactly what you have done to your system. In any case antagonizing the developers and the debian packager is _not_ the most effective course of action. I assure you all of us are making a good faith effort to make sure mpl works everywhere. Starting from that assumption will make all of these conversations go much more smoothly. Also remember everyone responding to you on this list is a volunteer, please be respectful of our time and energy. Tom On Wed, Mar 18, 2015 at 1:27 PM Benjamin Root ben.r...@ou.edu wrote: We would too. This is the first time I have seen updating setuptools not work. That was the fix... I have no clue why it is broken on your system. On Wed, Mar 18, 2015 at 1:20 PM, keith.bri...@bt.com wrote: Ok, I will check out anaconda anyway. I would think that the matplotlib maintainers would want to make sure they support the very popular Ubuntu platform, even if a workaround for a bug elsewhere is needed. K *From:* ben.v.r...@gmail.com [mailto:ben.v.r...@gmail.com] *On Behalf Of *Benjamin Root *Sent:* 18 March 2015 17:17 *To:* Briggs,KM,Keith,TUB2 R; Matplotlib Users *Subject:* Re: [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3 One thing I just noticed is that python3.4 and the distutils libraries are installed at /usr/lib/python3.4/distutils/, but the setuptools is located at /usr/local/lib/python3.4/dist-packages/. One of the oddities of setuptools is that it monkey-patches distutils, if I understand it correctly, so perhaps it isn't doing it correctly for some reason? I haven't a clue, really. This oddity in directory structures was actually one thing I noticed in Ubuntu last summer/fall for py2.7 that broke a lot of things for me. I was in a rush at the time, so I just switched to anaconda, nuked everything python in my .local and moved on. That is always an option here, but it would be nice to get to the bottom of this as well. Ben Root On Wed, Mar 18, 2015 at 1:03 PM, keith.bri...@bt.com wrote: Ben: thanks for your help - it's very much appreciated! Keith kbriggs:~/Downloads/matplotlib-1.4.3 python3 Python 3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2] on linux Type help, copyright, credits or license for more information. import setuptools print(setuptools.__file__) /usr/local/lib/python3.4/dist-packages/setuptools-14.3-py3. 4.egg/setuptools/__init__.py kbriggs:~/Downloads/matplotlib-1.4.3 python Python 2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2] on linux2 Type help, copyright, credits or license for more information. import setuptools print(setuptools.__file__) /usr/lib/python2.7/dist-packages/setuptools/__init__.pyc From: ben.v.r...@gmail.com [ben.v.r...@gmail.com] On Behalf Of Benjamin Root [ben.r...@ou.edu] Sent: 18 March 2015 16:58 To: Briggs,KM,Keith,TUB2 R Cc: matplotlib development list Subject: Re: [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3 Keith, Back to the issue at hand. could you do the following? import setuptools print(setuptools.__file__) It would be interesting to see if that path differs from the path of the egg you just listed. Ben On Wed, Mar 18, 2015 at 11:39 AM, keith.bri...@bt.commailto:ke ith.bri...@bt.com wrote: pip still thinks I have the latest. I think it's a question of how to force the matplotlib setup.py to use actually it. Keith kbriggs:~/Downloads/matplotlib-1.4.3 sudo pip3 install setuptools --upgrade Requirement already up-to-date: setuptools in /usr/local/lib/python3.4/dist-packages/setuptools-14.3-py3.4.egg Cleaning up... From: ben.v.r...@gmail.commailto:ben.v.r...@gmail.com [ ben.v.r...@gmail.commailto:ben.v.r...@gmail.com] On Behalf Of Benjamin Root [ben.r...@ou.edumailto:ben.r...@ou.edu] Sent: 18 March 2015 15:33 To: Briggs,KM,Keith,TUB2 R Cc: matplotlib development list Subject: Re: [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3 I would just use pip. Ubuntu/Debian has really messed up the python environment in more ways than one.
Re: [Matplotlib-users] [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3
Hmm, I can't read and miss-attributed who was antagonizing Sandro, please don't do that. On Wed, Mar 18, 2015 at 2:01 PM Benjamin Root ben.r...@ou.edu wrote: For my part, I didn't take Keith's comment as antagonizing. If anything, I should apologize to Sandro. It was not necessary for me to drag Debian into this, because all I know is that I was having issues on Ubuntu. Ben Root On Wed, Mar 18, 2015 at 1:51 PM, Thomas Caswell tcasw...@gmail.com wrote: We do support ubuntu, travis.ci (which we use for continuous integration testing) is ubuntu based and my main development box is ubuntu (but I mostly work inside conda environments rather than virtualenvs these days). Even though it is the worst thing for a dev to say, 'it works on my machine'. Part of the problem here is that it looks like you are doing system-wide installations from source so you have almost certainly driven your system into an inconsistent state. Unless you know enough sys-admin magic to ensure you won't step on the toes of the system packages, I strongly suggest _never_ using sudo to install python packages. Either use venv/conda or install into a directory in your home directory and modify $PYTHONPATH as needed. I know it is frustrating, but there isn't a whole lot we can do to help you with you knowing exactly what you have done to your system. In any case antagonizing the developers and the debian packager is _not_ the most effective course of action. I assure you all of us are making a good faith effort to make sure mpl works everywhere. Starting from that assumption will make all of these conversations go much more smoothly. Also remember everyone responding to you on this list is a volunteer, please be respectful of our time and energy. Tom On Wed, Mar 18, 2015 at 1:27 PM Benjamin Root ben.r...@ou.edu wrote: We would too. This is the first time I have seen updating setuptools not work. That was the fix... I have no clue why it is broken on your system. On Wed, Mar 18, 2015 at 1:20 PM, keith.bri...@bt.com wrote: Ok, I will check out anaconda anyway. I would think that the matplotlib maintainers would want to make sure they support the very popular Ubuntu platform, even if a workaround for a bug elsewhere is needed. K *From:* ben.v.r...@gmail.com [mailto:ben.v.r...@gmail.com] *On Behalf Of *Benjamin Root *Sent:* 18 March 2015 17:17 *To:* Briggs,KM,Keith,TUB2 R; Matplotlib Users *Subject:* Re: [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3 One thing I just noticed is that python3.4 and the distutils libraries are installed at /usr/lib/python3.4/distutils/, but the setuptools is located at /usr/local/lib/python3.4/dist-packages/. One of the oddities of setuptools is that it monkey-patches distutils, if I understand it correctly, so perhaps it isn't doing it correctly for some reason? I haven't a clue, really. This oddity in directory structures was actually one thing I noticed in Ubuntu last summer/fall for py2.7 that broke a lot of things for me. I was in a rush at the time, so I just switched to anaconda, nuked everything python in my .local and moved on. That is always an option here, but it would be nice to get to the bottom of this as well. Ben Root On Wed, Mar 18, 2015 at 1:03 PM, keith.bri...@bt.com wrote: Ben: thanks for your help - it's very much appreciated! Keith kbriggs:~/Downloads/matplotlib-1.4.3 python3 Python 3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2] on linux Type help, copyright, credits or license for more information. import setuptools print(setuptools.__file__) /usr/local/lib/python3.4/dist-packages/setuptools-14.3-py3. 4.egg/setuptools/__init__.py kbriggs:~/Downloads/matplotlib-1.4.3 python Python 2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2] on linux2 Type help, copyright, credits or license for more information. import setuptools print(setuptools.__file__) /usr/lib/python2.7/dist-packages/setuptools/__init__.pyc From: ben.v.r...@gmail.com [ben.v.r...@gmail.com] On Behalf Of Benjamin Root [ben.r...@ou.edu] Sent: 18 March 2015 16:58 To: Briggs,KM,Keith,TUB2 R Cc: matplotlib development list Subject: Re: [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3 Keith, Back to the issue at hand. could you do the following? import setuptools print(setuptools.__file__) It would be interesting to see if that path differs from the path of the egg you just listed. Ben On Wed, Mar 18, 2015 at 11:39 AM, keith.bri...@bt.commailto:ke ith.bri...@bt.com wrote: pip still thinks I have the latest. I think it's a question of how to force the matplotlib setup.py to use actually it. Keith kbriggs:~/Downloads/matplotlib-1.4.3 sudo pip3 install setuptools --upgrade Requirement already up-to-date: setuptools in /usr/local/lib/python3.4/dist-packages/setuptools-14.3-py3.4.egg Cleaning up
Re: [Matplotlib-users] Best way to display image from URL in Python3
I think `six` (which we use to smooth over the 2/3 changes) has a way of dealing with atleast the urllib renaming . On Fri, Mar 20, 2015 at 11:58 AM Ryan Nelson rnelsonc...@gmail.com wrote: For me, if I change the script from the PR to what is shown below, everything works fine in both Python 2.7 and 3.4 (Anaconda environments, everything updated): ## url = 'http://www.libpng.org/pub/png/img_png/pngnow.png' try: import urllib2 data = urllib2.urlopen(url) except Exception: import urllib.request from io import BytesIO data = BytesIO(urllib.request.urlopen(url).read()) from matplotlib import pyplot image = pyplot.imread(data) # crash on py3.x pyplot.imshow(image) pyplot.show() # But as you can see, the Python 3 version requires the addition of BytesIO and read(). I take it that this is not supposed to be the case. Ryan On Fri, Mar 20, 2015 at 11:48 AM, Ryan Nelson rnelsonc...@gmail.com wrote: Thanks, Ben. I should have made that more clear. If I run the code from the PR, I get the following error: Traceback (most recent call last): File junk.py, line 11, in module image = pyplot.imread(data) # crash on py3.x File /home/nelson/apps/miniconda/lib/python3.4/site-packages/matplotlib/pyplot.py, line 2215, in imread return _imread(*args, **kwargs) File /home/nelson/apps/miniconda/lib/python3.4/site-packages/matplotlib/image.py, line 1270, in imread return handler(fname) RuntimeError: _image_module::readpng: file not recognized as a PNG file My code that I'm trying to port essentially does the same thing, and I get the same error. I ran this example just now from Anaconda Python 3.4 install with MPL 1.4.3. My impression from the PR was that this should work out of the box now. I figured that maybe that was not quite the case. The implementations between Py2 and 3 are quite different. Figured there must be a different way that I wasn't aware of. Ryan On Fri, Mar 20, 2015 at 9:51 AM, Benjamin Root ben.r...@ou.edu wrote: According to the PR you reference, the fix for this was merged back in Jan 2013, so that means that this fix is in version 1.2.x and up. Are you saying that you still can't do imread(urllib.request.urlopen(url))? On Thu, Mar 19, 2015 at 8:54 PM, Ryan Nelson rnelsonc...@gmail.com wrote: Hello all, I'm porting over some code that used Py2.7 urllib2.urlopen(url) to grab some image data from the net and load with pyplot.imread. It doesn't work quite right in Py3.4. I found a couple of refs: https://github.com/matplotlib/matplotlib/pull/1650 http://stackoverflow.com/questions/15183170/python-crash-when-downloading-image-as-numpy-array They suggest io.BytesIO(urllib.request.urlopen(url).read()) as a replacement for Py3. Is this the best practice? Does anyone know a simpler way to do this? Ryan -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Best way to display image from URL in Python3
Despite my grumping earlier, a PR that makes URLs just work is probably a good idea and would be merged. Tom On Fri, Mar 20, 2015 at 3:59 PM Jerzy Karczmarczuk jerzy.karczmarc...@unicaen.fr wrote: Le 20/03/2015 16:57, Ryan Nelson a écrit : For me, if I change the script from the PR to what is shown below, everything works fine in both Python 2.7 and 3.4 (Anaconda environments, everything updated): ## url = 'http://www.libpng.org/pub/png/img_png/pngnow.png' try: import urllib2 data = urllib2.urlopen(url) except Exception: import urllib.request from io import BytesIO data = BytesIO(urllib.request.urlopen(url).read()) from matplotlib import pyplot image = pyplot.imread(data) # crash on py3.x pyplot.imshow(image) pyplot.show() # But as you can see, the Python 3 version requires the addition of BytesIO and read(). I take it that this is not supposed to be the case. It works for X.png, not for X.jpg. The call of imread() fails then. Tested also under 3.4/Anaconda. Jerzy Karczmarczuk -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Draggable is not working on multiple legends of plots which are generated with twinx()
As I said in the first email, you need to put both legend artists on the top axes. The link is to the documentation on _how_ to put more than one legend in the same axes. Tom On Wed, Mar 11, 2015 at 10:58 AM liu lily politoeso...@gmail.com wrote: thanks, then are there any workaround on my case? or are there any other libaries which I CAN use to plot and manipulate the GUI? On Wed, Mar 11, 2015 at 3:54 PM, Benjamin Root ben.r...@ou.edu wrote: By top he means whichever axes was added most recently. When twining, the new axes is added on top of the original axes. I hope that clears it up. Ben Root On Wed, Mar 11, 2015 at 10:05 AM, liu lily politoeso...@gmail.com wrote: I dont understand you say it is the first axe but why in my case, only the second legend is draggable? it is in the second axe besides, since I have to use both y-axis on the left and on the right, it seems I have to have two axes, are there any workarounds? thanks! On Wed, Mar 11, 2015 at 2:22 PM, Thomas Caswell tcasw...@gmail.com wrote: The mouse events only propagate to the top axes. You will have to add both legends to the same (top) axes. See http://matplotlib.org/users/legend_guide.html#multiple-legend Tom On Wed, Mar 11, 2015, 08:57 liu lily politoeso...@gmail.com wrote: Hi, all: I have two legends, as below, I find that I can't drag the first legend, what is the problem? how to deal with it? thanks! import matplotlib.pyplot as plt fig1, ax1 = plt.subplots() ax2 = ax1.twinx() ax1.plot([1,2,3],[0.1,0.82,0.3],'y*', label=one) ax2.plot([1,2,3],[5,6,7],'ro', label=two) leg1 = ax1.legend() leg2 = ax2.legend() leg1.draggable(state=True) leg2.draggable(state=True) plt.show() -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Avoid circular references with format_coord and Qt?
My knee-jerk reaction is to move the definition of `format` outside of the `Visualize.__init__` method. If you need to have hooks back into the visualize method I would use a function factory + weak refs or a class (again with weakrefs) with a `__call__` method. Tom On Sun, Mar 8, 2015 at 3:35 PM Sebastian Berg sebast...@sipsolutions.net wrote: Hey, probably there is nothing to help me here, but I have a QtGui, using matplotlib and basically end up in a circular reference hell that is not resolvable by the gc. After removing almost all circular references, the python inherited QWidget that embeds the figurecanvas is now deleted fine. The thing I end up with however is something like class Visualize(object): def __init__(self): self.figure = Figure() canvas = FigureCanvas(self.figure) PythonInheritedQtWidget(self).element.setWidget(canvas) def format(*args): # do stuff return something self.axis = self.figure.add_subplot(1, 1, 1) self.axis.format_coord = format # This was completely drawn with canvas and all # PythonInheritedQtWidget is deleted fine. I have not been able to get a minimal test case. But I have it pinned down that everything can get cleaned up after: del Visualize.axes.format_coord so the circular reference that makes it not collectable is only the format_coord which is a method pointing to the class owning the figure and the axis. I am about to just use a weak reference wrapper function to break the circle but it seems silly. Anyway, I do not expect that anyone can help, and I expect it is some Qt stuff really, but this is seriously annoying me - Sebastian -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] IPython's matplotlib inline magic is really magic? Actually it might resets axes bounds...
This is due to the fact that by default the inline backend saves the pngs
using `boundingbox_inches='tight'`. The design goal on the mpl side of
this kwargs was to trim off extra whitespace, but the way it is implemented
works just as effectively to expand to fit artists that fall outside of the
figure. I assume the choice to make this the default in inline was to
waste as little space as possible.
A possibly more reliable method to get the same effect is to use
`tight_layout` (see http://matplotlib.org/users/tight_layout_guide.html)
There was talk of replacing that implementation with a linear constraint
solver, but not much progress has been made in that direction (see
https://github.com/matplotlib/matplotlib/issues/1109)
Tom
On Fri, Mar 13, 2015 at 3:01 PM Ryan Nelson rnelsonc...@gmail.com wrote:
I'm constructing a multi-plot figure using an IPython notebook (v3) and
matplotlib (v1.4.3) inline magic. I was manually setting the axes bounds,
and I ended up with something like the following:
import matplotlib.pyplot as plt
%matplotlib inline
bottom = 0.12
top = 0.9
left = 0.12
axwidth = (1-(left*2))/3
fig = plt.figure(figsize=(10,4))
ax1 = fig.add_axes((left, bottom, axwidth, top))
ax1.set_title('Title')
#ax1.tick_params(labelleft=False)
ax2 = fig.add_axes((left+axwidth, bottom, axwidth, top),
sharex=ax1, sharey=ax1)
ax2.tick_params(labelleft=False)
ax3 = fig.add_axes((left+axwidth*2, bottom, axwidth, top),
sharex=ax1, sharey=ax1)
ax3.tick_params(labelleft=False)
fig.savefig('junk.pdf', format='pdf')
fig.savefig('junk2.png')
###
Obviously, the bottom+top that I've selected is 1, so the axes should go
off the top of the figure. (Stupid, I know...) The axes in both the PDF and
PNG formatted files are clipped by the top of the figure as you would
expect; however, the figure that is displayed in the Notebook looks just
fine. In addition, if you add a title to one of the axes, the figure in
IPython suddenly creates more space for the text. Maybe it is rearranging
the axes information behind the scenes?
I'm curious why this design decision was made. I would say this is a bug.
Now that I know about this behavior, I can easily fix it. But new users
will be baffled when their saved figure looks nothing like the displayed
figure in the notebook.
Ryan
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Re: [Matplotlib-users] Draggable is not working on multiple legends of plots which are generated with twinx()
The mouse events only propagate to the top axes. You will have to add both legends to the same (top) axes. See http://matplotlib.org/users/legend_guide.html#multiple-legend Tom On Wed, Mar 11, 2015, 08:57 liu lily politoeso...@gmail.com wrote: Hi, all: I have two legends, as below, I find that I can't drag the first legend, what is the problem? how to deal with it? thanks! import matplotlib.pyplot as plt fig1, ax1 = plt.subplots() ax2 = ax1.twinx() ax1.plot([1,2,3],[0.1,0.82,0.3],'y*', label=one) ax2.plot([1,2,3],[5,6,7],'ro', label=two) leg1 = ax1.legend() leg2 = ax2.legend() leg1.draggable(state=True) leg2.draggable(state=True) plt.show() -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 'c' Keyword for color not working with latest IPython 3.0.0
This bug has already been fixed in the source. The work around for now is to use the full name `color='r'` instead of the alais 'c'. Tom On Mon, Mar 30, 2015 at 11:06 PM Yuxiang Wang yw...@virginia.edu wrote: Dear all, I have tried both latest Anaconda and WinPython in Windows 7, 64-bit system, with Python 3.4 64-bit, and both run into this issue: 1) Open up a new IPython QtConsole (version 3.0.0), and make sure matplotlib version is 1.4.3 2) It doesn't matter which backend you are using. Do: ```python import matplotlib.pyplot as plt plt.plot(range(5), c='r') ``` 3) The default color blue showed up, rather than red. Could anyone please help me with this? Can you repeat the error that I see here? Thanks! Shawn -- Yuxiang Shawn Wang Gerling Research Lab University of Virginia yw...@virginia.edu +1 (434) 284-0836 https://sites.google.com/a/virginia.edu/yw5aj/ -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3
Independent of what exactly is going wrong, the issue is that it _isn't_ finding the right version of freetype and iirc LooseVersion is handling the 'not found' return code badly. This is coming up often enough we probably do need to special case this check with a try/except. On Wed, Apr 1, 2015 at 9:50 AM Benjamin Root ben.r...@ou.edu wrote: Actually, look at the traceback... it is using distutils' version.py. That's weird. Is that a result of setuptools monkey-patching? On Wed, Apr 1, 2015 at 9:25 AM, Jens Nielsen jenshniel...@gmail.com wrote: I think we have seen this issue before and it seems to be caused by an out of date version of setuptools. I tried reproducing it on fresh ubuntu 14.04 machine but was not able to reproduce the issue. Do you know which version of setuptools you are using? Jens ons. 1. apr. 2015 kl. 14.19 skrev Thomas Caswell tcasw...@gmail.com: Make sure you have `freetype-dev` installed at the system level. Tom On Wed, Apr 1, 2015 at 8:02 AM Christian Ambros ambr...@ymail.com wrote: Hi, I'm facing the same trouble with installing matplotlib 1.4.3 and 1.5.dev1. running python3 setup.py build in the unarchived directory gives this: Edit setup.cfg to change the build options BUILDING MATPLOTLIB matplotlib: yes [1.5.dev1] python: yes [3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2]] platform: yes [linux] REQUIRED DEPENDENCIES AND EXTENSIONS numpy: yes [version 1.9.2] six: yes [using six version 1.5.2] dateutil: yes [using dateutil version 2.0] pytz: yes [using pytz version 2012c] tornado: yes [using tornado version 3.1.1] pyparsing: yes [using pyparsing version 2.0.1] libagg: yes [Requires patches that have not been merged upstream. Using local copy.] Traceback (most recent call last): File setup.py, line 153, in module result = package.check() File /home/ambrosc/Downloads/matplotlib-master/setupext.py, line 900, in check min_version='2.3', version=version) File /home/ambrosc/Downloads/matplotlib-master/setupext.py, line 446, in _check_for_pkg_config if (not is_min_version(version, min_version)): File /home/ambrosc/Downloads/matplotlib-master/setupext.py, line 173, in is_min_version return found_version = expected_version File /usr/lib/python3.4/distutils/version.py, line 76, in __ge__ c = self._cmp(other) File /usr/lib/python3.4/distutils/version.py, line 343, in _cmp if self.version other.version: TypeError: unorderable types: str() int() I'm running Linux Mint 17 Quina which is based on Ubuntu's trusty packges. pip3 is up to date. Running print(setuptools.__file__) gives: /usr/local/lib/python3.4/dist-packages/setuptools/__init__.py which is as expected. Using pip3 install matplotlib --upgrade #even to 1.4.3 get's me this: Collecting matplotlib from https://pypi.python.org/packages/source/m/matplotlib/matplotlib-1.4.3.tar.gz#md5=86af2e3e3c61849ac7576a6f5ca44267 Downloading matplotlib-1.4.3.tar.gz (50.4MB) 100% || 50.4MB 8.0kB/s Traceback (most recent call last): File string, line 20, in module File /tmp/pip-build-sezmzam8/matplotlib/setup.py, line 155, in module result = package.check() File /tmp/pip-build-sezmzam8/matplotlib/setupext.py, line 961, in check min_version='2.3', version=version) File /tmp/pip-build-sezmzam8/matplotlib/setupext.py, line 445, in _check_for_pkg_config if (not is_min_version(version, min_version)): File /tmp/pip-build-sezmzam8/matplotlib/setupext.py, line 173, in is_min_version return found_version = expected_version File /usr/lib/python3.4/distutils/version.py, line 76, in __ge__ c = self._cmp(other) File /usr/lib/python3.4/distutils/version.py, line 343, in _cmp if self.version other.version: TypeError: unorderable types: str() int() Edit setup.cfg to change the build options BUILDING MATPLOTLIB matplotlib: yes [1.4.3] python: yes [3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2]] platform: yes [linux] REQUIRED DEPENDENCIES AND EXTENSIONS numpy: yes [version 1.9.2] six: yes [using six version 1.5.2] dateutil: yes [using dateutil version 2.0] pytz: yes [using pytz version 2012c] tornado: yes [using tornado version 3.1.1] pyparsing: yes [using pyparsing version 2.0.1
Re: [Matplotlib-users] Plotting style
Yes, we are interested it more built-in themes. It may be worth making a 'matplotlib-styles' project which is _just_ a style library. On Tue, Mar 3, 2015 at 11:23 AM Marin GILLES mrngil...@gmail.com wrote: Le 03/03/2015 16:32, Christian Alis a écrit : Hi Marin, Have you looked at the style sheets examples in the gallery? http://matplotlib.org/gallery.html#style_sheets Regards, Christian On Tue, Mar 3, 2015 at 3:08 PM, Marin GILLES mrngil...@gmail.com mrngil...@gmail.com wrote: Hello everyone, I was wondering if there would be some kind of plot style profile interface. What I mean, is that you could have mutliple files with different styles for plots, that would be used to change easily the style of plots. I know about the matplotlibrc but I am thinking of something a little bit more flexible, which could swicth between multiple “style sheets” easily. As an example, for now I use the Seaborn set_style capabilities to get better looking graphs. I previously used Prettyplotlib to make better plots. But with those two libraries, it does not seem to me that you can control your graph settings with, for example, a config file. Thank you -- Marin GILLES PhD student CNRS Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB) UMR 6303 CNRS - Université de Bourgogne 9 av Alain Savary, BP 47870 21078, Dijon (France) ☎ (+33)6.79.35.30.11 ✉ marin.gil...@u-bourgogne.fr -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing listMatplotlib-users@lists.sourceforge.nethttps://lists.sourceforge.net/lists/listinfo/matplotlib-users Hi Christian, I saw them indeed. After looking into it in more details, it seems that the default styles are defined in a config-like style. It is possible to create your own styles and put it in your config path so they are accessible (Style on matplotlib.org http://matplotlib.org/users/style_sheets.html?highlight=style). Also, Would the community be interested in more integrated themes? Thanks for your help -- *Marin GILLES* *PhD student CNRS * * Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB) UMR 6303 CNRS - Université de Bourgogne 9 av Alain Savary, BP 47870 21078, Dijon (France) * ☎ (+33)6.79.35.30.11 ✉ marin.gil...@u-bourgogne.fr -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plotting style
I was thinking of the stand alone repository to just store the style files as the style module handles the loading pretty well. The main motivation for this would be to decouple the release cycle of the styles (which can be very fast) from the library (which needs to be slower). On Tue, Mar 3, 2015, 12:35 Marin GILLES mrngil...@gmail.com wrote: Le 03/03/2015 18:15, Gökhan Sever a écrit : On Tue, Mar 3, 2015 at 12:07 PM, Marin GILLES mrngil...@gmail.com wrote: Sure, I'll be careful about that. I'm going to go try and design some new interesting ones. Maybe adding some styles specific to some plot types could be useful. Also some styles specific for some applications (geoscience, biology)? If you have any other ideas, please let me know. -- *Marin GILLES* It would be good to have styles for paper and presentation modes. The former would have smaller ticks, labels, linewidths, other axis elements that goes into a journal publication, while the latter with much magnified elements to be clearly visible on a screen from the back of a room. Indeed it would be a very good idea. I've seen that already in the seaborn lib I guess. -- *Marin GILLES* *PhD student CNRS * * Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB) UMR 6303 CNRS - Université de Bourgogne 9 av Alain Savary, BP 47870 21078, Dijon (France) * ☎ (+33)6.79.35.30.11 ✉ marin.gil...@u-bourgogne.fr -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plotting style
That repo should probably be folded together with Tony Yu's style gallery
code and eventually be migrated to live under the main matplotlib
organization.
I would also advocate for adding a bit of code into that repo to make it
importable and to register all/some of it's style files with the
USER_LIBRARY_PATHS attribute in mpl.style.core so that these things 'just
work' by name if you import `mpl_styles` (ex `style.use('journals.pre')`
would enable the styles for Physical Review E).
Tom
(ps sorry if this goes out twice, browser was being flaky)
On Wed, Mar 4, 2015 at 5:31 PM Marin GILLES mrngil...@gmail.com wrote:
Le 04/03/2015 22:46, Yuxiang Wang a écrit :
Hi Marin,
+1 for the idea of specific papers. For example, all PLOS require the
same figure format and I have my own config file. I'd be more than
happy to dig into it and try my best to contribute.
Shawn
On Wed, Mar 4, 2015 at 4:27 PM, Marin GILLES mrngil...@gmail.com
mrngil...@gmail.com wrote:
Le 04/03/2015 06:21, Tony Yu a écrit :
On Tue, Mar 3, 2015 at 11:50 AM, Gökhan Sever gokhanse...@gmail.com
gokhanse...@gmail.com wrote:
I see seaborn has paper, notebook, talk, and poster
options.http://stanford.edu/~mwaskom/software/seaborn-dev/aesthetics.html
Apperantly he scales each parameter to get modified views. This would be a
good addition for any of the styles available in matplotlib.
A similar pattern with `matplotlib.style` would use chained stylesheets. The
idea would be to make stylesheets either aesthetics focused or layout
focused. By aesthetics, I mean things like colors and marker shape, and by
layout, I mean things like default figure size, figure padding, font size,
etc. Then you can easily have a style that defines the general aesthetics
and easily modify it for papers, talks, etc.
Here's an example from `mpltools`, but the same syntax applies to the
`style` module in `matplotlib`:
http://tonysyu.github.io/mpltools/auto_examples/style/plot_multiple_styles.html
(PoF = Physics of Fluids journal; IIRC I think I have some personal
stylesheets that take the normal two-column figure layout and convert it to
a full-page layout.)
-Tony
On Tue, Mar 3, 2015 at 12:35 PM, Marin GILLES mrngil...@gmail.com
mrngil...@gmail.com wrote:
Le 03/03/2015 18:15, Gökhan Sever a écrit :
On Tue, Mar 3, 2015 at 12:07 PM, Marin GILLES mrngil...@gmail.com
mrngil...@gmail.com
wrote:
Sure, I'll be careful about that.
I'm going to go try and design some new interesting ones.
Maybe adding some styles specific to some plot types could be useful.
Also some styles specific for some applications (geoscience, biology)?
If you have any other ideas, please let me know.
--
Marin GILLES
It would be good to have styles for paper and presentation modes. The
former would have smaller ticks, labels, linewidths, other axis elements
that goes into a journal publication, while the latter with much magnified
elements to be clearly visible on a screen from the back of a room.
Indeed it would be a very good idea.
I've seen that already in the seaborn lib I guess.
--
Marin GILLES
PhD student CNRS
Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB)
UMR 6303 CNRS - Université de Bourgogne
9 av Alain Savary, BP 47870
21078, Dijon (France)
☎ (+33)6.79.35.30.11
✉ marin.gil...@u-bourgogne.fr
--
Gökhan
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Hi,
I started working on styles based on which support the figure is designed
for (as of now, I've got 'paper', 'notebook', 'talk', 'poster').
For those, in a style point of view, I think only the text size should be
modified (got it done, just need to get the proper sizes for each style),
which is unlike the 'seaborn' way of doing it. Thing is, by doing so, we
don't mess with any style we could apply using Cascading styles.
Also, I was thinking that I should set the export settings for each of those
styles, but also get an export style folder (with a few good parameters).
This would mean no more need to adjust dpi, file format, figure size...
Finally, I could add a folder for specific papers, in which the figure
parameters would be tweaked so that we can directly be in a specific paper
format. I guess it would take into account both text size and export
parameters for each paper.
Let me know what you think about it.
Marin Gilles
Re: [Matplotlib-users] Plotting style
the rcparams are stored in a sub-class of dict which does both name and value validation on the way in. This is controlled by the class-level attribute `validate` (which is a dict mapping from key-name - validation function). In principle you could update this dict to add rcparams on the fly, however if the plotting functions don't know to look at the rcparams they won't have any effect. To add new rcparams you need to modify the upstream code. There is a PR to add spine-related rcparams ( https://github.com/matplotlib/matplotlib/pull/2702) but it has not been active in a while. On Thu, Mar 5, 2015 at 11:12 AM Marin GILLES mrngil...@gmail.com wrote: Le 04/03/2015 23:31, Marin GILLES a écrit : Le 04/03/2015 22:46, Yuxiang Wang a écrit : Hi Marin, +1 for the idea of specific papers. For example, all PLOS require the same figure format and I have my own config file. I'd be more than happy to dig into it and try my best to contribute. Shawn On Wed, Mar 4, 2015 at 4:27 PM, Marin GILLES mrngil...@gmail.com mrngil...@gmail.com wrote: Le 04/03/2015 06:21, Tony Yu a écrit : On Tue, Mar 3, 2015 at 11:50 AM, Gökhan Sever gokhanse...@gmail.com gokhanse...@gmail.com wrote: I see seaborn has paper, notebook, talk, and poster options.http://stanford.edu/~mwaskom/software/seaborn-dev/aesthetics.html Apperantly he scales each parameter to get modified views. This would be a good addition for any of the styles available in matplotlib. A similar pattern with `matplotlib.style` would use chained stylesheets. The idea would be to make stylesheets either aesthetics focused or layout focused. By aesthetics, I mean things like colors and marker shape, and by layout, I mean things like default figure size, figure padding, font size, etc. Then you can easily have a style that defines the general aesthetics and easily modify it for papers, talks, etc. Here's an example from `mpltools`, but the same syntax applies to the `style` module in `matplotlib`: http://tonysyu.github.io/mpltools/auto_examples/style/plot_multiple_styles.html (PoF = Physics of Fluids journal; IIRC I think I have some personal stylesheets that take the normal two-column figure layout and convert it to a full-page layout.) -Tony On Tue, Mar 3, 2015 at 12:35 PM, Marin GILLES mrngil...@gmail.com mrngil...@gmail.com wrote: Le 03/03/2015 18:15, Gökhan Sever a écrit : On Tue, Mar 3, 2015 at 12:07 PM, Marin GILLES mrngil...@gmail.com mrngil...@gmail.com wrote: Sure, I'll be careful about that. I'm going to go try and design some new interesting ones. Maybe adding some styles specific to some plot types could be useful. Also some styles specific for some applications (geoscience, biology)? If you have any other ideas, please let me know. -- Marin GILLES It would be good to have styles for paper and presentation modes. The former would have smaller ticks, labels, linewidths, other axis elements that goes into a journal publication, while the latter with much magnified elements to be clearly visible on a screen from the back of a room. Indeed it would be a very good idea. I've seen that already in the seaborn lib I guess. -- Marin GILLES PhD student CNRS Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB) UMR 6303 CNRS - Université de Bourgogne 9 av Alain Savary, BP 47870 21078, Dijon (France) ☎ (+33)6.79.35.30.11 ✉ marin.gil...@u-bourgogne.fr -- Gökhan -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing listMatplotlib-users@lists.sourceforge.nethttps://lists.sourceforge.net/lists/listinfo/matplotlib-users Hi, I started working on styles based on which support the figure is designed for (as of now, I've got 'paper', 'notebook', 'talk', 'poster'). For those, in a style point of view, I think only the text size should be modified (got it done, just need to get the proper sizes for each style), which is unlike the 'seaborn' way of doing it. Thing is, by doing so, we don't mess with any style we could apply using Cascading styles. Also, I was thinking that I should set the export settings for each of those styles, but also get an export style folder (with a few good parameters). This would mean no more need to adjust dpi, file format, figure size... Finally, I could add a folder for specific papers, in which the figure parameters would be tweaked so that we can directly be in a specific paper format. I guess it would take into account both text size and export parameters for each
Re: [Matplotlib-users] Problems with pyplot and cm in Matplotlib ver. 1.4.3
Can you re-send this with that error message formatted a bit better (It is
really hard to make any sense of it all squashed into one line like that).
From what I can make it out looks like it is mostly warnings, not errors.
Does it correctly save the figure? Can you show us the two outputs?
v1.1.1 is from Jun, 2012, there are over 5k new commits across 301 files
between the two versions (see
https://github.com/matplotlib/matplotlib/compare/v1.1.1...v1.4.3 but it
chokes and only will show you 250 commits)
Can you put together a minimal working example (which does not rely on any
external files)? That will really help the list pin down exactly what is
wrong and how to fix it.
Tom
On Sat Feb 21 2015 at 9:04:47 PM Starfighter sdup...@speakeasy.net wrote:
I'm attempting to generate contour and a color map in Matplotlib ver.
1.4.3 on a MacBook Pro under Mac OS X ver. 10.10.2 in Python 2.7.3 with the
Anaconda environment. Now the messages from Matplotlib I get are:
users-MacBook-Pro:lecture1 user$ python plot_solution.py Saved pseudocolor
plot as pcolor.png
/Users/user/anaconda/lib/python2.7/site-packages/matplotlib/text.py:52:
UnicodeWarning: Unicode equal comparison failed to convert both arguments
to Unicode - interpreting them as being unequal if rotation in
('horizontal', None):
/Users/user/anaconda/lib/python2.7/site-packages/matplotlib/text.py:54:
UnicodeWarning: Unicode equal comparison failed to convert both arguments
to Unicode - interpreting them as being unequal elif rotation ==
'vertical': Saved contour plot as contour.png users-MacBook-Pro:lecture1
user$ The python script is attached to this note. Now I've observed that
the same python script and input data generated the correct contour and
color map under Linux2 using Python 2.7.3 and Matplotlib 1.1.1rc. The
questions I have include: 1. What are the differences between Matplotlib
vers. 1.1.1rc and 1.4.3? 2. What is going on where? 3. How can I fix this
problem? Please advise. plot_solution.py
http://matplotlib.1069221.n5.nabble.com/file/n45002/plot_solution.py
--
View this message in context: Problems with pyplot and cm in Matplotlib
ver. 1.4.3
http://matplotlib.1069221.n5.nabble.com/Problems-with-pyplot-and-cm-in-Matplotlib-ver-1-4-3-tp45002.html
Sent from the matplotlib - users mailing list archive
http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html at
Nabble.com.
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Re: [Matplotlib-users] Help with updating the limits of an axis to reflect the range of new data
Yikes, that formatting is almost worse!
On Thu, Mar 26, 2015 at 11:53 AM rogerjames99 ro...@beardandsandals.co.uk
wrote:
Hi Thomas, I posted via nabble. It looks like something stripped the code.
Here is the bit where the axes are set up def setup_axes(self, fig, rect):
With custom locator and formatter. Note that the extreme values are
swapped. transform = PolarAxes.PolarTransform() angle_ticks = [(0,
r$Right$), (.5*pi, r$Forward$), (pi, r$Left$)] grid_locator1 =
FixedLocator([v for v, s in angle_ticks]) tick_formatter1 =
DictFormatter(dict(angle_ticks)) grid_locator2 = MaxNLocator(4)
self.grid_helper = floating_axes.GridHelperCurveLinear(transform,
extremes=(0, pi, self.sonar_limit, 0), grid_locator1=grid_locator1,
grid_locator2=grid_locator2, tick_formatter1=tick_formatter1,
tick_formatter2=None, ) self.axes = floating_axes.FloatingSubplot(fig,
rect, grid_helper=self.grid_helper)
self.axes.axis[bottom].major_ticklabels.set_rotation(180)
self.axes.axis[left].set_axis_direction(bottom) self.axes.grid(b=True,
which='major', color='b', linestyle='-') fig.add_subplot(self.axes) #
create a parasite axes whose transData in RA, cz self.auxiliary_axes =
self.axes.get_aux_axes(transform) self.auxiliary_axes.patch =
self.axes.patch # for auxiliary_axis to have a clip path as in ax
self.axes.patch.zorder=0.9 # but this has a side effect that the patch is #
drawn twice, and possibly over some other # artists. So, we decrease the
zorder a bit to # prevent this. self.lines, =
self.auxiliary_axes.plot(self.theta, self.radius) and here is the bit where
the plot is updated def idleCallback(self): global root plotit = False
logging.debug('Acquire the data lock') self.dataLock.acquire() if
self.newSonarDataAvailable: plotit = True theta = self.theta[:] radius =
self.radius[:] selfNewSonarDataAvailable = False self.dataLock.release() #
theta.insert(0, 0.) # theta.append(0.) # radius.insert(0, 0.) #
radius.append(0.) if plotit: logging.debug('Plotting')
self.lines.set_data(theta, radius) self.axes.relim()
self.axes.autoscale_view() self.canvas.draw() if have also put the full
code file here https://dl.dropboxusercontent.com/u/84613021/barnaby.py
As you can see I have been trying a few other things. Looks like if am
missing the boat pretty comprehensively!
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axis to reflect the range of new data
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Re: [Matplotlib-users] Help with updating the limits of an axis to reflect the range of new data
And if I look at this on nabble the code looks fine, it just was not
redndering in inbox. Sorry, the issues is on my end.
On Thu, Mar 26, 2015 at 11:54 AM Thomas Caswell tcasw...@gmail.com wrote:
Yikes, that formatting is almost worse!
On Thu, Mar 26, 2015 at 11:53 AM rogerjames99 ro...@beardandsandals.co.uk
wrote:
Hi Thomas, I posted via nabble. It looks like something stripped the
code. Here is the bit where the axes are set up def setup_axes(self, fig,
rect): With custom locator and formatter. Note that the extreme values
are swapped. transform = PolarAxes.PolarTransform() angle_ticks = [(0,
r$Right$), (.5*pi, r$Forward$), (pi, r$Left$)] grid_locator1 =
FixedLocator([v for v, s in angle_ticks]) tick_formatter1 =
DictFormatter(dict(angle_ticks)) grid_locator2 = MaxNLocator(4)
self.grid_helper = floating_axes.GridHelperCurveLinear(transform,
extremes=(0, pi, self.sonar_limit, 0), grid_locator1=grid_locator1,
grid_locator2=grid_locator2, tick_formatter1=tick_formatter1,
tick_formatter2=None, ) self.axes = floating_axes.FloatingSubplot(fig,
rect, grid_helper=self.grid_helper) self.axes.axis[bottom].
major_ticklabels.set_rotation(180)
self.axes.axis[left].set_axis_direction(bottom)
self.axes.grid(b=True, which='major', color='b', linestyle='-')
fig.add_subplot(self.axes) # create a parasite axes whose transData in RA,
cz self.auxiliary_axes = self.axes.get_aux_axes(transform)
self.auxiliary_axes.patch = self.axes.patch # for auxiliary_axis to have a
clip path as in ax self.axes.patch.zorder=0.9 # but this has a side effect
that the patch is # drawn twice, and possibly over some other # artists.
So, we decrease the zorder a bit to # prevent this. self.lines, =
self.auxiliary_axes.plot(self.theta, self.radius) and here is the bit
where the plot is updated def idleCallback(self): global root plotit =
False logging.debug('Acquire the data lock') self.dataLock.acquire() if
self.newSonarDataAvailable: plotit = True theta = self.theta[:] radius =
self.radius[:] selfNewSonarDataAvailable = False self.dataLock.release() #
theta.insert(0, 0.) # theta.append(0.) # radius.insert(0, 0.) #
radius.append(0.) if plotit: logging.debug('Plotting')
self.lines.set_data(theta, radius) self.axes.relim()
self.axes.autoscale_view() self.canvas.draw() if have also put the full
code file here https://dl.dropboxusercontent.com/u/84613021/barnaby.py
As you can see I have been trying a few other things. Looks like if am
missing the boat pretty comprehensively!
--
View this message in context: Re: Help with updating the limits of an
axis to reflect the range of new data
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Re: [Matplotlib-users] Help with updating the limits of an axis to reflect the range of new data
Can you include a minimal example of the code you are using (it looks like you did include code, but it did not come through)? It is very hard to guess at what is wrong without it. Tom On Wed, Mar 25, 2015 at 2:29 PM rogerjames99 ro...@beardandsandals.co.uk wrote: Hi, I am trying to draw a polar plot of a sonar scan. The idea being to present it like a radar display. I have used axisartist to do the ploar plot. This is working fine but I would like to reset the limits of the radius axis with each new scan. I have tried a number of ways of doing this without success. My current code to set up the plot looks like this. and to update the plot. Like this I have tried doing the above on the host axes and the auxiliary one and with different parameters to the relim etc. Nothing seems to work. Before I tried various other calls to manipulate the extremes but with the same lack of results. Can anyone set me straight on this? I feel I must be missing something obvious. However I find the documentation and the class inheritance hierarchy almost impossible to follow. Here are a couple of links to snapshots of the output. Before https://dl.dropboxusercontent.com/u/84613021/Screenshot%20from% 202015-03-25%2018%3A17%3A24.png After https://dl.dropboxusercontent.com/u/84613021/Screenshot%20from% 202015-03-25%2018%3A18%3A30.png Thanks, Roger -- View this message in context: http://matplotlib.1069221.n5. nabble.com/Help-with-updating-the-limits-of-an-axis-to- reflect-the-range-of-new-data-tp45261.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] animation.FuncAnimation example --- how does it work?
Can everyone please bring the level of snark/hostility down? Programming is frustrating, but antagonizing the mailing list does not help anyone. It is not well documented, but the signature for `func` is assumed to be `def function(required, *optional_positional)` see https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/animation.py#L1107 for the line where it actually gets called. The logic behind this is that the function needs to have some input to know what to draw (so the state about where in the sequence you are lives in the animation code, not in the supplied user code). For passing in the frame data you have several options. The first is to pass in an iterable of the data you want to be passed to the function (ex np.arange(5), image_stack, image_generator), basically anything where `it = iter(input); data = next(it)` 'does the right thing'. The second is to pass in a callable where repeated calls to `data = my_callable()` 'does the right thing' This would be useful if you want to reach out and hit some external hardware for you data each time the animation updates. The last is to pass in a number of frames, which gets converted into xrange(frames). In all cases, the Animation turns what ever your input is into an iterable which gets hit once pre frame (see https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/animation.py#L1047 for the code version of this paragraph). Tom PS was finishing this up as Ben's email came in On Thu, Apr 23, 2015 at 12:06 PM Virgil Stokes v...@it.uu.se wrote: Thanks for your reply to my post, Jerzy. On 23-Apr-2015 13:18, Jerzy Karczmarczuk wrote: Le 23/04/2015 12:22, Virgil Stokes a écrit : The following interesting example (random_data.py) is posted at: http://matplotlib.org/1.4.2/examples/animation/random_data.html import matplotlib.pyplot as plt import matplotlib.animation as animation import numpy as np Yes, I forgot to include this fig, ax = plt.subplots() line, = ax.plot(np.random.rand(10)) ax.set_ylim(0, 1) def update(data): line.set_ydata(data) return line, def data_gen(): while True: yield np.random.rand(10) ani = animation.FuncAnimation(fig, update, data_gen, interval=100) plt.show() This codes works; but, I am very confused by it. For example: 1. There are 3 positional arguments given for animation.FuncAnimation; but, in the API documentation for this class ( http://matplotlib.org/api/animation_api.html), only two positional arguments are shown. The third one is the third one, *frames* can be a generator, an iterable, or a number of frames. This makes very little sense to me --- what does or a number of frames mean? The name data_gen could suggest its meaning (after having read the doc). I am not sure what you are referencing as the doc; but I did read the documentation several times and English is my native language. Note please that the keyword parameters are specified extra. I am aware of this. Perhaps, I am a Python dummy --- when I see something like value = None in a Python API argument, I interpret this as a keyword argument and not a generator. 2. data, the argument to the update function seems to be undefined. FuncAnimation usually passes the frame number: 0, 1, 2, ... as the first parameter of the update function, when frames is None, or the number of frames. If - as here - the third parameter is a generator, it passes the yielded data to update. It may be used or not. Ok, I understand that better now. But, you say or *the number* of frames but the documentation reads or *a number* of frames --- what does this mean? And I still do not understand how to use the first argument of the function to be called for the animation. In another animation example ( histogram.py), the animation function is defined by: def animate(i): # simulate new data coming in data = np.random.randn(1000 n, bins = np.histogram(data, 100) top = bottom + n verts[1::5,1] = top verts[2::5,1] = top This works of course; but, why is the i required? There is no other reference to it in the entire script. If I remove it; i.e. use def animate(): I get the following error: TypeError: animate() takes no arguments (1 given) I do not understand how this explains the fact that the function no longer has any arguments. Please explain the meaning of this error message? Please, in such cases test your programs by adding some simple tracing contraptions, say, print(data) inside update. I did this and more before posting my email. I would not have posted this unless I thought it was necessary. And I thought one purpose of this user group was to help people --- even if they ask a question which may be annoying or stupid in some subscribers opinion. I try to remember what a very wise teacher once said --- there is no such thing as a stupid question.
Re: [Matplotlib-users] Wind barb bug
Jesper,
Can you open an issue on this on github. If you are feeling ambitious a
pull request fixing the bug (as you seem to have a good idea of where the
problem is) would also be great!
Tom
On Fri, Apr 24, 2015 at 8:38 AM Jesper Larsen jesper.webm...@gmail.com
wrote:
Hi Matplotlib Users,
When I make wind barbs with rounding enabled and custom barb increments I
noticed that there were no wind barbs with half barbs above 2 full barbs.
The reason seems to be a bug in the _find_tails method. The bug is
illustrated by this small script (_find_tails is a copy of the one in
matplotlib):
import numpy as np
def _find_tails(self, mag, rounding=True, half=5, full=10, flag=50):
'''
Find how many of each of the tail pieces is necessary. Flag
specifies the increment for a flag, barb for a full barb, and half for
half a barb. Mag should be the magnitude of a vector (ie. = 0).
This returns a tuple of:
(*number of flags*, *number of barbs*, *half_flag*, *empty_flag*)
*half_flag* is a boolean whether half of a barb is needed,
since there should only ever be one half on a given
barb. *empty_flag* flag is an array of flags to easily tell if
a barb is empty (too low to plot any barbs/flags.
'''
#If rounding, round to the nearest multiple of half, the smallest
#increment
if rounding:
mag = half * (mag / half + 0.5).astype(np.int)
num_flags = np.floor(mag / flag).astype(np.int)
mag = np.mod(mag, flag)
num_barb = np.floor(mag / full).astype(np.int)
mag = np.mod(mag, full)
half_flag = mag = half
empty_flag = ~(half_flag | (num_flags 0) | (num_barb 0))
return num_flags, num_barb, half_flag, empty_flag
def main():
mag = np.arange(0,21,1)
barb_incs = {'half': 2.57222,
'full': 5.1,
'flag': 25.7222}
print 'With rounding'
num_flags, num_barb, half_flag, empty_flag = _find_tails(None, mag,
rounding=True, **barb_incs)
for i in range(len(mag)):
print mag[i], num_flags[i], num_barb[i], half_flag[i],
empty_flag[i]
print 'Without rounding'
num_flags, num_barb, half_flag, empty_flag = _find_tails(None, mag,
rounding=False, **barb_incs)
for i in range(len(mag)):
print mag[i], num_flags[i], num_barb[i], half_flag[i],
empty_flag[i]
if __name__ == '__main__':
exit(main())
It seems like the error is not present when the barb increments are not
set. I believe the reason for the bug is the float comparison (half_flag =
mag = half) where the value is rounded to a value very close to/identical
to the 'half' increment. And it seems like python does the right thing when
the half increment is a whole number but not always when it is not.
But in any case the code should probably not depend two floats being equal.
Best regards,
Jesper
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Re: [Matplotlib-users] Axes3d.mouse_init(), facing problems when embedding matplotlib 3d-projection into PyQt5 App
I think that this SO answer may be relevant: https://stackoverflow.com/questions/18259350/embed-an-interactive-3d-plot-in-pyside/18278457#18278457 On Wed, Apr 29, 2015 at 5:43 AM Christian Ambros ambr...@ymail.com wrote: Ok, back from revision... The is no mix-up for the show command. The only explicit show() command is commented out in line 41. It can be deleted. But I haven't done that, yet. There are several bits of code which are remains of the design process since this is work in progress. Code cleaning will be done when the main functionality is in place. Back to addmpl where I embedded gui elements into the canvas. Taking out the matplotlib taskbar doesn't change a thing as I wrote earlier, but to make sure it doesn't bother the mainloop, it should be commented out. I may not put it back in, because I don't see the point in needing it. It was just to see if it's possible. But option 2 relinquishes that control to the developer's GUI app. You *cannot* use pyplot for option 2, which is what you are doing. Is that so? In line 116 I create the canvas, which is derived from matplotlib's backend's FigureCanvasQTAgg and given to the QWidget at line 119. That's the only part where both interact with each other. the rest is handle by matplotlib. The error message says that Axes3D.figure.canvas is 'None' and that's why mouse rotation is disabled. It's None because there is no content at that point, when it's passed to the QWidget. It's filled with content in line 38. So if matplotlib disables the mouse rotation by default, when the canvas is empty how do I prevent this disabling by default? If I can't, at what point do I have to pass the filled canvas to the QWidget? How does that impact the GUI itself? If I can't enable the mouse rotation by hand and I just can pass filled canvas around, do I have to build a work around with initialize it with an empty 2D canvas and replace it later with the filled 3D canvas? How's the mouse rotation activated then? In general, I wouldn't have to enable the rotation if it wouldn't be switch off for an empty canvas. I'm going to consult your book, now, for different ways of coping with such things... cheers, Christian -- A little learning never caused anyone's head to explode! Ein wenig Lernen hat noch niemandens Kopf zum Explodieren gebracht! On Tuesday, April 28, 2015 8:28 PM, Benjamin Root ben.r...@ou.edu wrote: One thing I see off the bat is your addmpl() method: ``` def addmpl(self, fig): #FigureCanvas.__init__(self, fig) self.canvas = FigureCanvas(fig) Axes3D.mouse_init(self, rotate_btn=1, zoom_btn=2) self.mplvl.addWidget(self.canvas) self.canvas.draw() self.toolbar = NavigationToolbar(self.canvas, self.mplwindow, coordinates=True) self.mplvl.addWidget(self.toolbar) ``` You are calling Axes3D.mouse_init() on the Main object (that is `self`). That is completely wrong. It can only be called for the 3d axes objects. Also, what I see happening here is some mixing up of how to do embedding. There are two approaches to embedding. 1) you can embedded GUI elements into your canvas widget, or 2) you can embed your canvas widget into your GUI app. The important distinction between the two is who controls the mainloop. In option 1 (and in matplotlib in general), pyplot will create the GUI app for you automatically (it is completely transparent to you) and kicks it off upon call to show(). But option 2 relinquishes that control to the developer's GUI app. You *cannot* use pyplot for option 2, which is what you are doing. Rip out all of the pyplot stuff, and instantiate the Qt5 Figure object directly, and then obtain the axes objects from the figure object via calls to add_subplot(). You shouldn't even need to do the whole mouse_init() stuff. I now think this has nothing to do with Qt Designer. While I don't specifically cover qt5 in my book, I do make all of these distinctions very clear in chapter 5 of my book Interactive Applications using Matplotlib. Cheers! Ben Root On Tue, Apr 28, 2015 at 4:03 PM, Christian Ambros ambr...@ymail.com wrote: Hi Benjamin, I would do that if my task were my private stuff, but in this case it's work-related and my boss wants me to use the designer and he already set a deadline, which, I already knew, is set to tight. I told him before, that it would be just a try but he sold it to his boss after some pressure. You know how the bosses' bosses are, they don't get the idea that innovation can't be dictated. They don't understand the concept that software is written and doesn't come into existence out of nothing. Without PyQt5 it's working fine. I got the plots and they are gorgeous, but that doesn't help when presenting to the bosses. If I just would know how to activate the 3d-draw's mouse action again, by hand, than it has to last just some moments for the presentation,
Re: [Matplotlib-users] `matplotlib`: `self._chachedRenderer` fails `assert self._cachedRenderer is not None`, when calling `draw_artist` on a patch?
Please include the contents of the SO question here. Those links are very likely to rot due to over aggressive moderation on SO. Tom On Sun, May 10, 2015 at 1:49 PM bmer bhmerch...@gmail.com wrote: Hi all, I wrote up my question in detail on StackOverflow. http://stackoverflow.com/questions/30154473/matplotlib-self-chachedrenderer-fails-assert-self-cachedrenderer-is-not , but I figured it would be a good idea to cross-post it here, by providing a link. Please feel free to respond here, or there, and thanks for your help! -- View this message in context: http://matplotlib.1069221.n5.nabble.com/matplotlib-self-chachedRenderer-fails-assert-self-cachedRenderer-is-not-None-when-calling-draw-artis-tp45494.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Possible bug in padding between text and bounding box for PDF
Sourish, We no longer are updating the 1.3.x releases. Can you reproduce this problem using 1.4.3? Tom On Thu, May 7, 2015 at 11:14 AM Sourish Basu sourish.b...@gmail.com wrote: Hello, I have been fighting with this problem for some time. It seems that if, on a plot, I have some text inside a bounding box, it displays fine on the screen, saves OK as a PNG, but when I save the plot as a PDF the padding on the right side between the text and the box disappears. I have attached a minimal example with a text box, but this problem occurs for legends as well, if the legend text is long-ish. I am also attaching a PNG and a PDF output, as well as how the PDF shows up on my viewer. Has anyone else experienced this? Other relevant info: *$ uname -a* Linux Merlin 3.2.0-77-generic #114-Ubuntu SMP Tue Mar 10 17:26:03 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux *$ python -c 'import matplotlib; print matplotlib.__version__'* 1.3.1 *Where I obtained matplotlib:* The matplotlib SourceForge site *Customisations to **matplotlibrc:* backend : Qt4Agg lines.markersize : 10# markersize, in points font.sans-serif : Ubuntu, Calibri, Liberation Sans font.monospace : Consolas, Inconsolata, Ubuntu Mono, Droid Sans Mono axes.color_cycle : e41a1c, 377eb8, 4daf4a, 984ea3, ff7f00, 33, a65628, f781bf, 99 pdf.fonttype : 42 # Output Type 3 (Type3) or Type 42 (TrueType) # I have tried with fonttype=3 as well, and the bug still exists *$ python bug_test.py --verbose-helpful output.txt* output.txt attached Thanks, Sourish -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Good line plot color cycle for colorblind readers?
See https://github.com/matplotlib/matplotlib/pull/2871 and the links there in. This colormap should be in 1.4.x as `'Wistia'`. http://matplotlib.org/users/colormaps.html has some references. There is an open PR to add a color-blind filter an any artist https://github.com/matplotlib/matplotlib/pull/3279 but I am not sure of it's state. Tom On Fri, May 15, 2015 at 5:43 PM Nathan Goldbaum nathan12...@gmail.com wrote: Hi all, This is a bit of a case of lazy mailing list, but I'm hoping there might be some experts here who can point me in the right direction. Does anyone know of a good resource to pull a color cycle for line plots that are good for color-blind readers? I'm currently writing a paper that includes a number of plots that include multiple line plots in the same axes, and it would be nice if I'm not alienating a significant fraction of my readers with a poor color choice. Thanks very much for your help! -Nathan -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Some questions regarding pcolor(mesh)/nbagg/FuncAnimate
The 'animated' property is used _deep_ with in `axes.draw` (
https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/axes/_base.py#L2035)
to skip artists with the 'animated' flag set. This makes them play nice
with blitting (which explicitly uses `axes.draw_artist`) so they are not
drawn on a call to `ax.draw` (which sets up the background canvas). Sorry,
I should not have included them with out a good explanation, I was feeling
too fancy with that example.
Tom
On Thu, Apr 16, 2015 at 11:27 AM Ryan Nelson rnelsonc...@gmail.com wrote:
Ben,
Sorry. I probably should have just dropped that entirely. In my code
sample, it is actually commented out because it breaks the animation with
the nbagg backend. It was in Tom's example, so I left it in because I
wanted to find out what it was doing.
Ryan
On Thu, Apr 16, 2015 at 9:30 AM, Benjamin Root ben.r...@ou.edu wrote:
I just noticed your use of animated=True. I have had trouble using that
in the past with the animation module. It is a leftover from the days
before the animation module and isn't actually used by it, IIRC. Try not
supplying that argument.
On Thu, Apr 16, 2015 at 8:18 AM, Ryan Nelson rnelsonc...@gmail.com
wrote:
Tom,
Thanks for the code. As it was given, I had to change `blit=True` in the
`FuncAnimation` call in order to get this to work in a regular Qt backend.
It did not work with the nbagg backend; however, if I used this code it
works fine:
%matplotlib nbagg
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animate
class Testing(object):
def __init__(self, ):
self.fig = plt.figure()
array = np.random.rand(4,5)
array = np.zeros((4,5))
self.pc = plt.pcolor(array, edgecolor='k', linewidth=1.)#,
animated=True)
self.pc.set_clim([0, 1])
self.points = [plt.scatter(np.random.rand(),
np.random.rand())]#, animated=True)]
def update(self, iter_num):
array = np.random.rand(4*5)
self.pc.set_array(array)
for point in self.points:
point.set_offsets([np.random.rand(), np.random.rand()])
#return (self.pc, ) + tuple(self.points)
test = Testing()
ani = animate.FuncAnimation(test.fig, test.update, interval=250,
blit=False, frames=50)
plt.show()
Also this code solves the problem I was having with several scatter
points being displayed upon multiple runs of the same code cell.
I wasn't familiar with the animated keyword, and it is not well
documented yet. Can you give me a quick explanation of what it is doing?
Ben: thanks for the hint about the _stop() method. I might look into
that for my example.
Thank you all for your assistance. Things are working pretty much as I
need now!
Ryan
On Sun, Apr 12, 2015 at 9:24 AM, Thomas Caswell tcasw...@gmail.com
wrote:
You can
```
#import matplotlib
#matplotlib.use('nbagg')
#%matplotlib nbagg
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animate
class Testing(object):
def __init__(self, ):
self.fig = plt.figure()
array = np.random.rand(4,5)
array = np.zeros((4,5))
self.pc = plt.pcolor(array, edgecolor='k', linewidth=1.,
animated=True)
self.pc.set_clim([0, 1])
self.points = [plt.scatter(np.random.rand(), np.random.rand(),
animated=True)]
def update(self, iter_num):
array = np.random.rand(4*5)
self.pc.set_array(array)
for point in self.points:
point.set_offsets([np.random.rand(), np.random.rand()])
return (self.pc, ) + tuple(self.points)
test = Testing()
ani = animate.FuncAnimation(test.fig, test.update, interval=10,
blit=False, frames=50)
plt.show()
```
note the addition of the `set_clim` line in the `__init__` method.
You can also update the scatter artist in-place. The other changes
will make it a bit for performant if you use bliting (which does not work
with nbagg currently)
Sorry I missed that part of the question first time through.
Tom
On Sun, Apr 12, 2015, 08:31 Ryan Nelson rnelsonc...@gmail.com wrote:
Tom,
Thanks for the links. It does seem like fragments of my problem are
addressed in each of those comments, so I guess I'll have to wait for a
bit
until those things get resolved. For now, I can just tell my students to
restart the IPython kernel each time they run the animation, which isn't
that hard. It's too bad that there isn't a 'stop' method now, but it's
good
to hear that it isn't a completely terrible idea.
I do still need help with Question #3 from my original email, though,
because it affects both the Qt and nbagg backends, and it is a bit of a
show stopper. I can't quite understand why initializing a pcolor(mesh)
with
random numbers makes it possible to update the array in an animation, but
if you use all zeros or ones, it seems to be immutable.
Ryan
Re: [Matplotlib-users] Some questions regarding pcolor(mesh)/nbagg/FuncAnimate
You can
```
#import matplotlib
#matplotlib.use('nbagg')
#%matplotlib nbagg
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animate
class Testing(object):
def __init__(self, ):
self.fig = plt.figure()
array = np.random.rand(4,5)
array = np.zeros((4,5))
self.pc = plt.pcolor(array, edgecolor='k', linewidth=1.,
animated=True)
self.pc.set_clim([0, 1])
self.points = [plt.scatter(np.random.rand(), np.random.rand(),
animated=True)]
def update(self, iter_num):
array = np.random.rand(4*5)
self.pc.set_array(array)
for point in self.points:
point.set_offsets([np.random.rand(), np.random.rand()])
return (self.pc, ) + tuple(self.points)
test = Testing()
ani = animate.FuncAnimation(test.fig, test.update, interval=10, blit=False,
frames=50)
plt.show()
```
note the addition of the `set_clim` line in the `__init__` method.
You can also update the scatter artist in-place. The other changes will
make it a bit for performant if you use bliting (which does not work with
nbagg currently)
Sorry I missed that part of the question first time through.
Tom
On Sun, Apr 12, 2015, 08:31 Ryan Nelson rnelsonc...@gmail.com wrote:
Tom,
Thanks for the links. It does seem like fragments of my problem are
addressed in each of those comments, so I guess I'll have to wait for a bit
until those things get resolved. For now, I can just tell my students to
restart the IPython kernel each time they run the animation, which isn't
that hard. It's too bad that there isn't a 'stop' method now, but it's good
to hear that it isn't a completely terrible idea.
I do still need help with Question #3 from my original email, though,
because it affects both the Qt and nbagg backends, and it is a bit of a
show stopper. I can't quite understand why initializing a pcolor(mesh) with
random numbers makes it possible to update the array in an animation, but
if you use all zeros or ones, it seems to be immutable.
Ryan
On Sat, Apr 11, 2015 at 8:35 PM, Thomas Caswell tcasw...@gmail.com
wrote:
Ryan,
I have not looked at your exact issue yet, but there seems to be some
underlying issues with animation and nbagg which we have not tracked down
yet. See:
https://github.com/matplotlib/matplotlib/pull/4290
https://github.com/matplotlib/matplotlib/issues/4287
https://github.com/matplotlib/matplotlib/issues/4288
Running until a given condition is an interesting idea, but I think that
means the animation objects needs to have a public 'stop' method first!
Tom
On Fri, Apr 10, 2015 at 3:00 PM Ryan Nelson rnelsonc...@gmail.com
wrote:
Good afternoon, all!
I'm really digging the nbagg backend, and I'm trying to use it to make
an animation. As the subject suggests, though, I'm having some issues with
these features. I'm using Python 3.4, Matplotlib 1.4.3, and IPython 3.1.
Below is a small code sample that emulates my system. The pcolor call can
be substituted for pcolormesh, and I see the same behavior. (Sorry this is
a bit long. I tried to break it up as best as possible.)
#
#import matplotlib
#matplotlib.use('nbagg')
#%matplotlib nbagg
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animate
class Testing(object):
def __init__(self, ):
self.fig = plt.figure()
array = np.random.rand(4,5)
#array = np.zeros((4,5))
self.pc = plt.pcolor(array, edgecolor='k', linewidth=1.)
self.points = [plt.scatter(np.random.rand(), np.random.rand())]
def update(self, iter_num):
array = np.random.rand(4*5)
self.pc.set_array(array)
for point in self.points:
point.remove()
self.points = [plt.scatter(np.random.rand(), np.random.rand())]
test = Testing()
animate.FuncAnimation(test.fig, test.update, interval=1000, blit=False)
plt.show()
###
1. As is, this code runs fine with a Qt backend. It also runs fine as a
first call in a notebook if the `show` call is commented out and the
`%matplotlib` line is uncommented. However, if the `show` call is left in
and the `matplotlib.use` call is uncommented, then the pcolor array
changes, but the scatterpoint only shows on the first update and then
disappears forever. What is the difference between these two invocations?
2. With the `%matplotlib` magic uncommented and `show` removed, the
first invocation of this as a cell works fine. Closing the figure (with the
red X) and running the cell again shows two scatter plot points. Running it
a third time shows three scatter plot points. If you call `plt.clf` in the
next cell, I get a series of errors as follows:
_
ERROR:tornado.application:Exception in callback bound method
TimerTornado._on_timer of matplotlib.backends.backend_nbagg.TimerTornado
object at 0x7f894cb10f98
Traceback (most recent call last):
File /usr
Re: [Matplotlib-users] How to create ternary contour plot in matplotlib?
We have a pr in to add ternary axes, but unfortunately I do not understand it well enough to tell you of contours will work. See https://github.com/matplotlib/matplotlib/pull/3828 and links with in. Tom On Sat, Apr 11, 2015, 07:47 nxkryptor nxkr nxkryp...@gmail.com wrote: I am trying to create ternary plots with matplotlib as shown in the figure (source http://stackoverflow.com/questions/10879361/ternary-plot-and-filled-contour). The axes are A, B, C and D values should be denoted by contours and the points need to be labelled like in figure. [image: enter image description here]Can such plots be created in matplotlib or with Python? This question is already posted on stackoverflow http://stackoverflow.com/questions/29512046/how-to-create-ternary-contour-plot-in-python . nxkr -- BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT Develop your own process in accordance with the BPMN 2 standard Learn Process modeling best practices with Bonita BPM through live exercises http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- event?utm_ source=Sourceforge_BPM_Camp_5_6_15utm_medium=emailutm_campaign=VA_SF___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT Develop your own process in accordance with the BPMN 2 standard Learn Process modeling best practices with Bonita BPM through live exercises http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- event?utm_ source=Sourceforge_BPM_Camp_5_6_15utm_medium=emailutm_campaign=VA_SF___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Artifacts when saving as PDF
This is probaly due to issues with not all of the vector backends
supporting alpha gracefully.
This can be reproduced more simply by
x, y = np.ogrid[-5:5:.1, -5:5:.1]
dd = np.exp(-(x**2 + y**2))
dd[dd .1] = np.nan
fig, ax = plt.subplots()
ax.imshow(dd, interpolation='none', cmap='gray_r')
plt.savefig('test.pdf')
@steven In the future it is best to report bugs with minimal copy-paste
able examples.
On Mon, Apr 6, 2015 at 5:41 PM Steven Boada bo...@physics.tamu.edu wrote:
Getting some strange artifacts when I save a figure as a PDF in
matplotlib. Here are some screen shots. PDF http://imgur.com/oQDXkWn
and PNG http://imgur.com/bCw3Fn4. Any idea why that is happening?
Here is (most of) the source code that makes the plot. I stripped out the
data generation, because it is long and involved, and doesn't really
matter. Basically what the script is supposed to do is make a scatter plot
where the density is below some threshold, and a 2d histogram when it is
above that threshold. The code seems to work fine, but when I save the
figure (using savefig in Ipython) it shows up funny.
Thanks.
import pylab as pyl
bins = [50,50]
thresh = 3
xdat = #generate or load some data
ydat = #generate or load some data
hh, locx, locy = pyl.histogram2d(xdat, ydat, range=[[-1,4],[-26,-10]],
bins=bins)
posx = pyl.digitize(xdat, locx)
posy = pyl.digitize(ydat, locy)
# finds the bins which contain points. posx = 0 for points outside
range
ind = (posx 0) (posx = bins[0]) (posy 0) (posy = bins[1])
# values of histogram with points in the bins.
hhsub = hh[posx[ind] - 1, posy[ind] - 1]
xdat1 = xdat[ind][hhsub thresh] # low density points
ydat1 = ydat[ind][hhsub thresh]
hh[hh thresh] = pyl.nan # fill the areas with low density by NaNs
pyl.scatter(xdat1, ydat1, s=20, c='0.8')
pyl.imshow(pyl.log10(hh.T), cmap='gray_r',
extent=pyl.array([[-1,4],[-26,-10]]).flatten(),
interpolation='none')
pyl.show()
--
Steven Boada
Doctoral Student
Dept of Physics and Astronomy
Texas AM universitybo...@physics.tamu.edu
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Re: [Matplotlib-users] Artifacts when saving as PDF
This probably should be made into an issue on github as this is clearly a
bug.
On further consideration, the fact that in my example the bad pixels show
up only on the edge and are not symmetric makes me think that my original
suggestion is wrong. Does `interpoltation='nearest'` work any better?
I also am not sure that the rasterzation is happening so this may be an
issue on the renderer end.
This needs more investigation that I have time for today.
Tom
On Tue, Apr 7, 2015 at 11:02 AM Steven Boada bo...@physics.tamu.edu wrote:
Thomas,
Thanks for the smaller example. I would have come up with one, but I
wasn't sure what was causing it to begin with.
Is there anything to be done to prevent this? Just use another backend?
Steven
On 4/6/15 8:47 PM, Thomas Caswell wrote:
This is probaly due to issues with not all of the vector backends
supporting alpha gracefully.
This can be reproduced more simply by
x, y = np.ogrid[-5:5:.1, -5:5:.1]
dd = np.exp(-(x**2 + y**2))
dd[dd .1] = np.nan
fig, ax = plt.subplots()
ax.imshow(dd, interpolation='none', cmap='gray_r')
plt.savefig('test.pdf')
@steven In the future it is best to report bugs with minimal
copy-paste able examples.
On Mon, Apr 6, 2015 at 5:41 PM Steven Boada bo...@physics.tamu.edu
mailto:bo...@physics.tamu.edu wrote:
Getting some strange artifacts when I save a figure as a PDF in
matplotlib. Here are some screen shots. PDF
http://imgur.com/oQDXkWn and PNG http://imgur.com/bCw3Fn4. Any
idea why that is happening?
Here is (most of) the source code that makes the plot. I stripped
out the data generation, because it is long and involved, and
doesn't really matter. Basically what the script is supposed to do
is make a scatter plot where the density is below some threshold,
and a 2d histogram when it is above that threshold. The code seems
to work fine, but when I save the figure (using savefig in
Ipython) it shows up funny.
Thanks.
import pylab as pyl
bins = [50,50]
thresh = 3
xdat = #generate or load some data
ydat = #generate or load some data
hh, locx, locy = pyl.histogram2d(xdat, ydat,
range=[[-1,4],[-26,-10]], bins=bins)
posx = pyl.digitize(xdat, locx)
posy = pyl.digitize(ydat, locy)
# finds the bins which contain points. posx = 0 for points
outside range
ind = (posx 0) (posx = bins[0]) (posy 0) (posy =
bins[1])
# values of histogram with points in the bins.
hhsub = hh[posx[ind] - 1, posy[ind] - 1]
xdat1 = xdat[ind][hhsub thresh] # low density points
ydat1 = ydat[ind][hhsub thresh]
hh[hh thresh] = pyl.nan # fill the areas with low density by
NaNs
pyl.scatter(xdat1, ydat1, s=20, c='0.8')
pyl.imshow(pyl.log10(hh.T), cmap='gray_r',
extent=pyl.array([[-1,4],[-26,-10]]).flatten(),
interpolation='none')
pyl.show()
--
Steven Boada
Doctoral Student
Dept of Physics and Astronomy
Texas AM University
bo...@physics.tamu.edu mailto:bo...@physics.tamu.edu
--
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Dept of Physics and Astronomy
Texas AM University
bo...@physics.tamu.edu
--
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Re: [Matplotlib-users] sharex with one figure aspect = 1.0
What are the data limits you are using? I suspect they you are over constraining the system/order of operations issue. Try dropping the adjustable setting and pre setting both the data limits and the approximate size in figure fraction (ex via grid spec) of the axes. Tom On Tue, Apr 7, 2015, 15:54 Mark Bakker mark...@gmail.com wrote: Hello list, I want to axes above each other. They share the x-axis. The top figure has 'aspect=1' (it is a map), the bottom figure shows a cross-section along a horizontal line on the map, so it doesn't have 'aspect=1'. When I do this with code, for example like this: fig, axes = plt.subplots(nrows=2,sharex=True) plt.setp(axes[0], aspect=1.0, adjustable='box-forced') then the physical size of the top axes is much sorter than the physical size of the bottom axes (although they are poperly linked, as they have the same data limit, and when zooming in the top figure, the bottom figure adjusts). It just looks weird, as the size of the horizontal axis of the bottom figure should have the same physical size as the horizontal axis of the top figure. This used to be possible (a few years ago; haven't tried it for a while). Is there a way to do it with the current matpotlib? (1.4.3) Thanks, Mark -- BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT Develop your own process in accordance with the BPMN 2 standard Learn Process modeling best practices with Bonita BPM through live exercises http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- event?utm_ source=Sourceforge_BPM_Camp_5_6_15utm_medium=emailutm_ campaign=VA_SF___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT Develop your own process in accordance with the BPMN 2 standard Learn Process modeling best practices with Bonita BPM through live exercises http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- event?utm_ source=Sourceforge_BPM_Camp_5_6_15utm_medium=emailutm_campaign=VA_SF___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] sharex with one figure aspect = 1.0
Can you please provide a minimal, but complete and runnable example of what you are doing? On Wed, Apr 8, 2015, 08:13 Mark Bakker mark...@gmail.com wrote: Thanks, Thomas. That works indeed, but it doesn't make the figure adjustable, which is what I wanted (that the physical size of the axes changes while the aspect ratio is fixed to 1). I guess that functionality has been taken out. Mark On Wed, Apr 8, 2015 at 12:50 PM, Thomas Caswell tcasw...@gmail.com wrote: What are the data limits you are using? I suspect they you are over constraining the system/order of operations issue. Try dropping the adjustable setting and pre setting both the data limits and the approximate size in figure fraction (ex via grid spec) of the axes. Tom On Tue, Apr 7, 2015, 15:54 Mark Bakker mark...@gmail.com wrote: Hello list, I want to axes above each other. They share the x-axis. The top figure has 'aspect=1' (it is a map), the bottom figure shows a cross-section along a horizontal line on the map, so it doesn't have 'aspect=1'. When I do this with code, for example like this: fig, axes = plt.subplots(nrows=2,sharex=True) plt.setp(axes[0], aspect=1.0, adjustable='box-forced') then the physical size of the top axes is much sorter than the physical size of the bottom axes (although they are poperly linked, as they have the same data limit, and when zooming in the top figure, the bottom figure adjusts). It just looks weird, as the size of the horizontal axis of the bottom figure should have the same physical size as the horizontal axis of the top figure. This used to be possible (a few years ago; haven't tried it for a while). Is there a way to do it with the current matpotlib? (1.4.3) Thanks, Mark -- BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT Develop your own process in accordance with the BPMN 2 standard Learn Process modeling best practices with Bonita BPM through live exercises http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- event?utm_ source=Sourceforge_BPM_Camp_5_6_15utm_medium=emailutm_ campaign=VA_SF___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT Develop your own process in accordance with the BPMN 2 standard Learn Process modeling best practices with Bonita BPM through live exercises http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- event?utm_ source=Sourceforge_BPM_Camp_5_6_15utm_medium=emailutm_campaign=VA_SF___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] sharex with one figure aspect = 1.0
What version had this behavior? I recall some work on how aspect worked,
but not exactly what we did. I see why it is useful, but on the other hand
that sort of coupling seems like could cause some trouble if we are not
careful. This all come back to we need a real layout manager/constraint
solver (which no one has yet had time to address).
For now I think this will do what you want:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
fig, ax_top = plt.subplots()
ax_top.set_aspect(1)
divider = make_axes_locatable(ax_top)
bax_bottom = divider.append_axes('bottom', 1, pad=0.1,
sharex=ax_top)
Please don't use `plt.setp`, it is a MATLABism that I think is past it's
time.
On Wed, Apr 8, 2015 at 8:21 AM Mark Bakker mark...@gmail.com wrote:
import matplotlib.pyplot as plt
%matplotlib qt
fig, axes = plt.subplots(nrows=2,sharex=True)
plt.setp(axes[0], aspect=1.0, adjustable='box-forced')
plt.show()
This used to create two axes of the same horizontal size. What it does now
is that it scales the upper axis so that the aspect=1.0 by changing the
physical size of the axis. But the physical size of the lower axis is not
changed, while this used to be the case in the past (but that may have been
a few years back). That sure used to be the desired behavior.
Thanks for your help,
Mark
On Wed, Apr 8, 2015 at 2:16 PM, Thomas Caswell tcasw...@gmail.com wrote:
Can you please provide a minimal, but complete and runnable example of
what you are doing?
On Wed, Apr 8, 2015, 08:13 Mark Bakker mark...@gmail.com wrote:
Thanks, Thomas.
That works indeed, but it doesn't make the figure adjustable, which is
what I wanted (that the physical size of the axes changes while the aspect
ratio is fixed to 1). I guess that functionality has been taken out.
Mark
On Wed, Apr 8, 2015 at 12:50 PM, Thomas Caswell tcasw...@gmail.com
wrote:
What are the data limits you are using?
I suspect they you are over constraining the system/order of operations
issue. Try dropping the adjustable setting and pre setting both the data
limits and the approximate size in figure fraction (ex via grid spec) of
the axes.
Tom
On Tue, Apr 7, 2015, 15:54 Mark Bakker mark...@gmail.com wrote:
Hello list,
I want to axes above each other. They share the x-axis. The top figure
has 'aspect=1' (it is a map), the bottom figure shows a cross-section
along
a horizontal line on the map, so it doesn't have 'aspect=1'. When I do
this
with code, for example like this:
fig, axes = plt.subplots(nrows=2,sharex=True)
plt.setp(axes[0], aspect=1.0, adjustable='box-forced')
then the physical size of the top axes is much sorter than the
physical size of the bottom axes (although they are poperly linked, as
they
have the same data limit, and when zooming in the top figure, the bottom
figure adjusts). It just looks weird, as the size of the horizontal axis
of
the bottom figure should have the same physical size as the horizontal
axis
of the top figure. This used to be possible (a few years ago; haven't
tried
it for a while). Is there a way to do it with the current matpotlib?
(1.4.3)
Thanks,
Mark
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Re: [Matplotlib-users] [matplotlib-devel] 1.4.3 does not build on Ubuntu 14 with python3
There were multiple PRs that toched the freetype handling (iirc from Jens and Tony Yu), but I don't remember if either got mreged off the top of my head. On Wed, Apr 1, 2015 at 12:55 PM Benjamin Root ben.r...@ou.edu wrote: Didn't we fix that in trunk recently? On Wed, Apr 1, 2015 at 12:51 PM, Jens Nielsen jenshniel...@gmail.com wrote: Looking more closely at this I think it is a bug on our side. When freetype is not found it returns version as 'Failed to identify version.' which it tries to compare to a version number. The version number is correctly converted from string to numbers using loosversion but this string just makes it through. The workaround at the moment is to install the freetype dev as Tom said. Jens ons. 1. apr. 2015 kl. 17.45 skrev Christian Ambros ambr...@ymail.com: Hi, as you can see: 14.3.1 which is the latest, because before I started upgrading, I read about possible issues here and upgraded the setuptools as conclusion. Python 3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2] on linux Type help, copyright, credits or license for more information. import setuptools print(setuptools.__version__) 14.3.1 exit() cheers, Christian -- A little learning never caused anyone's head to explode! Ein wenig Lernen hat noch niemandens Kopf zum Explodieren gebracht! On Wednesday, April 1, 2015 1:25 PM, Jens Nielsen jenshniel...@gmail.com wrote: I think we have seen this issue before and it seems to be caused by an out of date version of setuptools. I tried reproducing it on fresh ubuntu 14.04 machine but was not able to reproduce the issue. Do you know which version of setuptools you are using? Jens ons. 1. apr. 2015 kl. 14.19 skrev Thomas Caswell tcasw...@gmail.com: Make sure you have `freetype-dev` installed at the system level. Tom On Wed, Apr 1, 2015 at 8:02 AM Christian Ambros ambr...@ymail.com wrote: Hi, I'm facing the same trouble with installing matplotlib 1.4.3 and 1.5.dev1. running python3 setup.py build in the unarchived directory gives this: Edit setup.cfg to change the build options BUILDING MATPLOTLIB matplotlib: yes [1.5.dev1] python: yes [3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2]] platform: yes [linux] REQUIRED DEPENDENCIES AND EXTENSIONS numpy: yes [version 1.9.2] six: yes [using six version 1.5.2] dateutil: yes [using dateutil version 2.0] pytz: yes [using pytz version 2012c] tornado: yes [using tornado version 3.1.1] pyparsing: yes [using pyparsing version 2.0.1] libagg: yes [Requires patches that have not been merged upstream. Using local copy.] Traceback (most recent call last): File setup.py, line 153, in module result = package.check() File /home/ambrosc/Downloads/matplotlib-master/setupext.py, line 900, in check min_version='2.3', version=version) File /home/ambrosc/Downloads/matplotlib-master/setupext.py, line 446, in _check_for_pkg_config if (not is_min_version(version, min_version)): File /home/ambrosc/Downloads/matplotlib-master/setupext.py, line 173, in is_min_version return found_version = expected_version File /usr/lib/python3.4/distutils/version.py, line 76, in __ge__ c = self._cmp(other) File /usr/lib/python3.4/distutils/version.py, line 343, in _cmp if self.version other.version: TypeError: unorderable types: str() int() I'm running Linux Mint 17 Quina which is based on Ubuntu's trusty packges. pip3 is up to date. Running print(setuptools.__file__) gives: /usr/local/lib/python3.4/dist-packages/setuptools/__init__.py which is as expected. Using pip3 install matplotlib --upgrade #even to 1.4.3 get's me this: Collecting matplotlib from https://pypi.python.org/packages/source/m/matplotlib/matplotlib-1.4.3.tar.gz#md5=86af2e3e3c61849ac7576a6f5ca44267 Downloading matplotlib-1.4.3.tar.gz (50.4MB) 100% || 50.4MB 8.0kB/s Traceback (most recent call last): File string, line 20, in module File /tmp/pip-build-sezmzam8/matplotlib/setup.py, line 155, in module result = package.check() File /tmp/pip-build-sezmzam8/matplotlib/setupext.py, line 961, in check min_version='2.3', version=version) File /tmp/pip-build-sezmzam8/matplotlib/setupext.py, line 445, in _check_for_pkg_config if (not is_min_version(version, min_version)): File /tmp/pip-build-sezmzam8/matplotlib/setupext.py, line 173, in is_min_version return found_version = expected_version File /usr/lib/python3.4/distutils/version.py, line 76, in __ge__ c = self._cmp(other) File /usr/lib/python3.4/distutils/version.py, line 343
Re: [Matplotlib-users] What are my options for speeding up a custom function called by `FuncAnimation`?
What are you plotting? How big is this list that the loops are taking appreciable amounts of time?!? Are we talking seconds here or ms? Have you done enough profiling to know exactly which line in here are slow? I don't quite understand the `np.ravel` calls. You might do better either with one (or many?) collection artists. You might also look into just updating the artists you have. Without some context of what these patches are it is really hard to help (or even really understand why this is slow). Tom On Sat, May 16, 2015 at 6:44 PM bmer bhmerch...@gmail.com wrote: This is what my animation function (i.e. the one that gets called by `FuncAnimation`) looks like: import numpy as np ... def mpl_animation_function(n): print animating timestep: , n if n 0: previous_relevant_patch_indices = np.ravel(patch_indices_per_timestep[n-1]) for index in previous_relevant_patch_indices: (patches[index]).set_visible(False) relevant_patch_indices = np.ravel(patch_indices_per_timestep[n]) for index in relevant_patch_indices: (patches[index]).set_visible(True) return patches, `patches` is a pre-generated list of patches (possibly large), that have already been added to an `axes` instance. This function is awfully time-consuming as the number of patches becomes large. One idea I had was to parallelize the `for` loop, but likely that won't work because of issues with the `axes` instance being accessed and modified in parallel -- so I am afraid of fruitlessly spending time there. Do I have any other options, or is parallelization possible? -- View this message in context: http://matplotlib.1069221.n5.nabble.com/What-are-my-options-for-speeding-up-a-custom-function-called-by-FuncAnimation-tp45562.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] RFC: candidates for a new default colormap
Jody, This has come up before and the consensus seemed to be that for the anomaly data sets knowing where the zero is is very important and the default color limits will probably get that wrong. So long as the user has to set the limits, they can also select one of the diverging color maps. I also advocate for users/domains which typically plot anomaly/diverging data sets to write helper functions like def im_diverging(ax, data, cmap='RbBu', *args, **kwargs): limits = some_limit_function(data) return ax.imshow(data, cmap=cmap, vmin=limits[0], vmax=limits[1], *args, **kwargs) Tom On Fri, Jun 5, 2015 at 12:18 PM Jody Klymak jkly...@uvic.ca wrote: Hi, This is a great initiative, I love colormaps and am always disatisfied. However, I am concerned about these proposed defaults. As Ben says, there are two types of data sets: “intensity” or “density” data, and data sets with a natural zero (i.e. positive or negative anomaly or velocity). I’d be fine with any of the proposed colormaps for “intensity” data sets, but I would *never* use them for anomaly data sets; I couldn’t tell where the middle (zero) of any of those colormaps are intuitively. Jet and parula, for all their sins, are decent compromises for the naive user (or the user in a rush) because they do a good job of representing both types of data. Even in black and white jet does something reasonable, which is go to dark at extreme values and white-ish in the middle. Jet also has a nice central green hue between blue and yellow that signals zero (or at least it does to me after years of looking at it). I don’t see that jet really loses that under colorblindness; in fact I almost prefer the “Moderate Deuter” version of jet to the actual jet. Anyways, I guess I am advocating trying to find a colormap with a very obvious central hue to represent zero. Anomaly data sets are *very* common, so having a default colormap that doesn’t do something reasonable with them may be a turn off to new users. Cheers, Jody On 5 Jun 2015, at 8:36 AM, Benjamin Root ben.r...@ou.edu wrote: It is funny that you mention that you prefer the warmer colors over the cooler colors. There has been some back-n-forth about which is better. I personally have found myself adverse to using just cool or just warm colors, preferring a mix of cool and warm colors. Perhaps it is my background in meteorology and viewing temperature maps? Another place where a mix of cool and warm colors are useful is for severity indications such as radar maps. It is no accident that radar maps are colored greens and blues for weak precipitation, then yellow for heavier, and then reds for heaviest (possibly severe) precipitation -- it came from the old FAA color guides. While we all know that that colormap is fundamentally flawed, there was a rationale behind it. Hopefully I will have some time today to play around with the D option. I want to see if I can shift the curve a bit to include more yellows and orange so that it can have a mix of cool and warm colors. Ben Root On Fri, Jun 5, 2015 at 11:21 AM, Philipp A. flying-sh...@web.de wrote: I vote for A and B. Only B if i get just one vote. C is too washed out and i like the warm colors more than the cold ones in D. It’s funny that this comes up while I’m handling colormaps in my own work at the moment. Neal Becker ndbeck...@gmail.com schrieb am Fr., 5. Juni 2015 um 12:58 Uhr: I vote for D, although I like matlab's new default even better -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Jody Klymak http://web.uvic.ca/~jklymak/ -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] zorder taking an array
One thing you can do which may work is to partition your plots 'by hand'.
It is not super elegant, but might get you the desired behavior. As long
as the number of partitions is low it shouldn't hurt performance _too_ much.
def z_jitter_plot(ax, x, y, partitions=10, **kwargs):
labels = np.random.randint(0, partitions, len(y))
z_levels = 1 + np.random.rand(partitions)
lns = []
for n, z in enumerate(z_levels):
ln = ax.plot(x[labels==n], y[labels==n], zorder=z, **kwargs)
lns.extend(ln)
return lns
fig, ax = plt.subplots()
N = 2500
all_lns = []
for j, c in enumerate('rgbk'):
x = np.linspace(0, 1, N)
y = np.random.randn(N)
lns = z_jitter_plot(ax, x, y, partitions=100, color=c, ls='',
markersize=52, marker='o')
all_lns.extend(lns)
Throwing in `alpha=.5` might also help a bit.
You will have to manage the color cycle your self here as this plots many
lines (each of which wants to advance the color cycle) per data set.
Tom
On Tue, Jun 23, 2015 at 2:16 PM Benjamin Root ben.r...@ou.edu wrote:
Right, when zorder is not explicitly specified, all the artists of the
same type get the same default zorder (I think 2, but I can't remember). We
then use a stable sort to determine the draw order, so two artists with the
same zorder are drawn in the order that they were created (the exception
being mplot3d, because it mucks about with zorders to achieve the 3d
effect).
Ben Root
On Tue, Jun 23, 2015 at 1:53 PM, Jody Klymak jkly...@uvic.ca wrote:
For my backend (nbagg), the order of the data determines the order of
drawing. So in the following, the third diamond covers the first two in
the first plot, but the first diamond covers them all in the second plot.
Perhaps not as elegant as a matrix zorder, but can achieve the effect you
are after.
Cheers, Jody
fig, ax = plt.subplots(2,1)
x = np.arange(3)
y = 0.*x
ax[0].plot(x,y,'d',markersize=52)
ax[0].set_xlim(-10.,10.)
ax[1].plot(x[[2,1,0]],y[[2,1,0]],'d',markersize=52)
ax[1].set_xlim(-10.,10.)
On Jun 23, 2015, at 9:44 AM, Benjamin Root ben.r...@ou.edu wrote:
I see what you are getting at. The issue is that artists are first sorted
by the zorder and then drawn one at a time. The draw for a collection
artist is an at-once operation, it can't (currently) be split out and
interspersed with the draws from another artist. This is one of the major
limitations for mplot3d, as it would be nice to compose a 3d scene properly
so that everything is logically consistent.
I have actually been working on some changes that would allow one to sort
the draws of individual elements of a collection, but I still haven't
figured out a way to break out the elements with other collection
elements in a way that doesn't break the current design or introduce major
performance penalties. Maybe I'll figure something out during SciPy2015.
Cheers!
Ben Root
On Tue, Jun 23, 2015 at 5:44 AM, Simon Walker
s.r.walker...@googlemail.com wrote:
When multiple datasets are plotted on the same axis, the points overlay
each other making it hard to see the points under the most recent ones. One
way to avoid this is to give each point a random zorder, randomising its
position in the z axis. This way, points from the first dataset may overly
points from the last dataset.
This could be achieved nicely if the zorder keyword took an array so the
random zorder values per point can be pre-computed, but currently it only
accepts a single number for the whole dataset. Would this be a useful
feature for others to have? How difficult would it be to implement?
Thanks,
Simon Walker
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Re: [Matplotlib-users] Use _cntr.so in fortran?
Also keep in mind that we consider all of the c extensions to be part of the private api and do not worry so much about breaking them. Tom On Thu, Jun 25, 2015, 3:45 PM Benjamin Root ben.r...@ou.edu wrote: _cntr.so has been deprecated (it might take a couple of releases before we remove it entirely). _contour.so has a newer, better interface and comes with a python wrapper. Don't know if that is an issue at all for you, just noting that is the case. I might also suggest looking at scikit-image, as I think it has some contouring algorithms that might be easier to link to. Ben Root On Thu, Jun 25, 2015 at 2:28 PM, Sterling Smith smit...@fusion.gat.com wrote: The contour finder in matplotlib is more robust than I currently have in a legacy fortran project. I would like to link to matplotlib’s instead. Has anyone done this before? Are there any suggestions or pitfalls for proceeding? Thanks, Sterling -- Monitor 25 network devices or servers for free with OpManager! OpManager is web-based network management software that monitors network devices and physical virtual servers, alerts via email sms for fault. Monitor 25 devices for free with no restriction. Download now http://ad.doubleclick.net/ddm/clk/292181274;119417398;o ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Monitor 25 network devices or servers for free with OpManager! OpManager is web-based network management software that monitors network devices and physical virtual servers, alerts via email sms for fault. Monitor 25 devices for free with no restriction. Download now http://ad.doubleclick.net/ddm/clk/292181274;119417398;o ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Monitor 25 network devices or servers for free with OpManager! OpManager is web-based network management software that monitors network devices and physical virtual servers, alerts via email sms for fault. Monitor 25 devices for free with no restriction. Download now http://ad.doubleclick.net/ddm/clk/292181274;119417398;o___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Disable the Close Button from the plot dialogue
How to do that is dependent on which gui frame work you are using and may be globally controlled at the desktop environment level. Tom On Thu, May 28, 2015, 12:13 Blingo petersbing...@hotmail.co.uk wrote: Hi there Just want to disable the X at the top right. It's the default frame used by matplotlib when plotting. Windows. Thanks Peter -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Disable-the-Close-Button-from-the-plot-dialogue-tp45633.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Using blit=True in matplotlib.animation
Please keep discussion on the list.
That warning means some thing is importing pyplot before your file. You
need to make sure that you use `matplotlib.use` before anything in your
process import `pyplot`.
You may need to change your `matplotlibrc` file.
Tom
On Sun, May 31, 2015, 00:30 Peter Rowat pe...@pelican.ucsd.edu wrote:
My file starts:
import numpy as np
import matplotlib
matplotlib.use('TKAgg')
import matplotlib.pyplot as plt
import matplotlib.animation as animation
and the animation works, with blit=False, but with this message:
==
/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/matplotlib/__init__.py:1155:
UserWarning: This call to matplotlib.use() has no effect
because the backend has already been chosen;
matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
or matplotlib.backends is imported for the first time.
warnings.warn(_use_error_msg)
===
So I can live with this, but seems there is something not quite right
about the __init__.py code
Should I use a different backed than the OS X backend?
— Peter
On May 30, 2015, at 8:43 PM, Thomas Caswell tcasw...@gmail.com wrote:
Blitting not working for the osx backend is a long standing issue due to
differences between what is allowed in the different gui frame works.
You have to change the backend via `use` before you import pyplot. If you
are still getting the error it is likely you tried to change the backend
_after_ pyplot was imported, in which case the `use` command does nothing.
Tom
On Sat, May 30, 2015 at 11:03 PM Peter Rowat pe...@pelican.ucsd.edu
wrote:
I’m on OS X, trying to write a multi-slider-controlled animation. If I
have blit=True in the call to matplotlib.animation,
I get this message
matplotlib.animation.BackendError: The current backend is 'MacOSX'
and may go into an infinite loop with blit turned on. Either
turn off blit or use an alternate backend, for example, like
'TKAgg', using the following prepended to your source code:
import matplotlib
matplotlib.use('TKAgg’)
=
When I make this change I still get the same error message, whether blit
is set True or False.
At least when blit=False the animation runs, which I can live with for
the moment.
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Re: [Matplotlib-users] Using blit=True in matplotlib.animation
Blitting not working for the osx backend is a long standing issue due to
differences between what is allowed in the different gui frame works.
You have to change the backend via `use` before you import pyplot. If you
are still getting the error it is likely you tried to change the backend
_after_ pyplot was imported, in which case the `use` command does nothing.
Tom
On Sat, May 30, 2015 at 11:03 PM Peter Rowat pe...@pelican.ucsd.edu wrote:
I’m on OS X, trying to write a multi-slider-controlled animation. If I
have blit=True in the call to matplotlib.animation,
I get this message
matplotlib.animation.BackendError: The current backend is 'MacOSX'
and may go into an infinite loop with blit turned on. Either
turn off blit or use an alternate backend, for example, like
'TKAgg', using the following prepended to your source code:
import matplotlib
matplotlib.use('TKAgg’)
=
When I make this change I still get the same error message, whether blit
is set True or False.
At least when blit=False the animation runs, which I can live with for the
moment.
--
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[Matplotlib-users] Fwd: Error on gridspec.py
Jan, Please keep discussions on the list. See below for forwarded email -- Forwarded message - From: Albrecht, Jan jan.albre...@enas.fraunhofer.de Date: Tue, May 26, 2015 at 2:58 AM Subject: AW: [Matplotlib-users] Error on gridspec.py To: Thomas Caswell tcasw...@gmail.com Dear Thomas, sorry for the last slapdashed E-Mail. I am using Python-Version 2.6.2 . This version is necessary, because I work additional with the finite element simulation program ABAQUSTM. The examples I wanted to test are from the matplot website. Installed packages : MatPlot: matplotlib-1.4.3 Numpy 1.6.2 PIL 1.1.7 Dateutil 1.4.1 Six 1.9.0 Pyparsing 2.0.3 I hope this will help to help me. Mit freundlichen Grüßen/ kind regards *Jan Albrecht* Micro Materials Center Chemnitz at Fraunhofer Institute for Electronic Nano Systems (ENAS) Technologie Campus 3 09126 Chemnitz Tel: 0371 / 45001 424 Fax: 0371 / 45001 524 Email: jan.albre...@enas.fraunhofer.de http://www.enas.fraunhofer.de/de/Abteilungen/MMC.html Diese E-Mail kann Betriebs- und Geschäftsgeheimnisse, dem Anwaltsgeheimnis unterliegende oder sonstige vertrauliche Informationen enthalten. Sollten Sie diese E-Mail irrtümlich erhalten haben, ist Ihnen die Kenntnisnahme des Inhalts, eine Vervielfältigung oder Weitergabe der E-Mail ausdrücklich untersagt. Bitte benachrichtigen Sie den Absender der E-Mail und vernichten die empfangene E-Mail. Vielen Dank. Since this e-mail contains confidential information, it must be treated with utmost confidentiality. Any person who may get in contact with this information by mistake should not take any notice of the topic and should not pass on or duplicate any part of this information. The e-mail has to be destroyed and the sender of the e-mail has to be informed immediately. Thank you. *Von:* Thomas Caswell [mailto:tcasw...@gmail.com] *Gesendet:* Sonntag, 24. Mai 2015 19:45 *An:* Albrecht, Jan; matplotlib-users@lists.sourceforge.net *Betreff:* Re: [Matplotlib-users] Error on gridspec.py Jan, If you subscribe to the user list you will be able to post with out moderation. Can you point us to which example you are running? From what you have sent is is very hard to sort out what is going wrong as we have to guess what you are doing. Tom On Sun, May 24, 2015 at 1:38 PM Albrecht, Jan jan.albre...@enas.fraunhofer.de wrote: Hi dear all, I have installed matplot and also six.py and so on. If i start an example from matplot i get the following eror message: File C:\Python26\lib\site-packages\matplotlib\pyplot.py, line 1087, in subplots ax0 = fig.add_subplot(gs[0, 0], **subplot_kw) File C:\Python26\lib\site-packages\matplotlib\figure.py, line 964, in add_subplot a = subplot_class_factory(projection_class)(self, *args, **kwargs) File C:\Python26\lib\site-packages\matplotlib\axes\_subplots.py, line 75, in __init__ self.update_params() File C:\Python26\lib\site-packages\matplotlib\axes\_subplots.py, line 115, in update_params return_all=True) File C:\Python26\lib\site-packages\matplotlib\gridspec.py, line 425, in get_position gridspec.get_grid_positions(fig) File C:\Python26\lib\site-packages\matplotlib\gridspec.py, line 86, in get_grid_positions subplot_params = self.get_subplot_params(fig) File C:\Python26\lib\site-packages\matplotlib\gridspec.py, line 271, in get_subplot_params subplotpars.update(**update_kw) TypeError: update() keywords must be strings Maybe someone can help me, thanks a lot JAn -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Automatic selection of different colormaps for anomaly intensity data
This has been discussed and the consensus was that getting the heuristics right is probably impossible (I work with dark-current subtracted image data so it can have negative values, but using a diverging color map is _very_ wrong, taking 0 as the center only makes sense some of the time). Defaulting to a linear norm and sequential color map is in the worst case not helpful, where as using the wrong center (or incorrectly using a diverging color map) can be misleading. We are prioritizing not being misleading over being slightly more convenient in the core library. A function with a call signature like you describe should definitely be in the examples. Also see PR https://github.com/matplotlib/matplotlib/pull/3858 which is adding a new normalizer to make setting up non-symmetric diverging color maps easier. Tom On Thu, Jul 2, 2015 at 11:49 AM George Nurser gnur...@gmail.com wrote: Hi, I've been following the discussions about the new default colormaps. I think it might be really helpful if the default behaviour were that matplotlib simply examined your data (Z, say), and if (1) Z.max() Z.min() had the same sign then used a sequential colormap whereas if (2) Z.max() Z.min() had opposite signs then it used a diverging colormap, centered on zero. Keywords e.g. Anomaly=True centre = 10. could be extra arguments to override this behaviour. I realise that a) this really only requires a user to write a simple helper application. But 99% of users will never do this. b) it may not always be desired; but again 99% of the time it probably is. This would enable people just starting to use matplotlib perhaps to see that it can give 'better' plots than matlab Anyway, just a thought. George Nurser. -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to get the value of a cell in pcolormesh
To get the index of the grid you clicked on requires some knowledge of what artist you are working with. See https://github.com/matplotlib/matplotlib/pull/3989 for some brand new code which makes this easier to implement in a general way. While we catch up with that you will need to implement your own mapping of x/y in data space - i, j See http://matplotlib.org/examples/api/image_zcoord.html for an example. Tom On Tue, May 12, 2015 at 2:21 AM GoogleWind googlew...@163.com wrote: Hi everyone! It is cool to use the pcolormesh in matplotlib. However, is there a way to get the i, j indexes of the clicked cell? I have try event.mouseevent.xdata and event.mouseevent.x. But they did not return the index I need. Thanks in advanced for your help. Dr. Jiacong Huang Nanjing Institute of Geography Limnology Chinese Academy of Sciences 73 East Beijing Road, Nanjing 210008, China Tel./Fax: +86-25-86882127 Homepage: http://www.escience.cn/people/elake/index.html ---Code to generate pcolormesh--- import numpy as np from matplotlib.pyplot import figure, show from numpy import ma n = 12 x = np.linspace(-1.5,1.5,n) y = np.linspace(-1.5,1.5,n*2) X,Y = np.meshgrid(x,y); Qx = np.cos(Y) - np.cos(X) Qz = np.sin(Y) + np.sin(X) Qx = (Qx + 1.1) Z = np.sqrt(X**2 + Y**2)/5; Z = (Z - Z.min()) / (Z.max() - Z.min()) # The color array can include masked values: Zm = ma.masked_where(np.fabs(Z) 100, Z) fig = figure() ax = fig.add_subplot(111) col = ax.pcolormesh(Qx[:5,:4],Qz[:5,:4],Zm[:4,:3]) show() - -- View this message in context: http://matplotlib.1069221.n5.nabble.com/How-to-get-the-value-of-a-cell-in-pcolormesh-tp45499.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem: AttributeError: 'module' object has no attribute '_string_to_bool'
This is related to files from the previous implementation still being around. Please make sure you have fully removed the old mpl installation before installing the new one. Be aware that there is some difference in the way pip/setuptools/distutils deal with namespace packages so look for both `matplotlib` and `mpl_toolkits` directories. Tom On Tue, Aug 18, 2015 at 12:49 PM Bob Dobalina aspann...@gmail.com wrote: When trying to create a 3D axes, I receive this error: /usr/lib/pymodules/python2.7/mpl_toolkits/mplot3d/axes3d.pyc in grid(self, b, **kwargs) 1254 if len(kwargs) : 1255 b = True - 1256 self._draw_grid = maxes._string_to_bool(b) 1257 1258 def ticklabel_format(self, **kwargs) : AttributeError: 'module' object has no attribute '_string_to_bool' I'm running matplotlib 1.4.3 on linux (ubuntu-based), and was able to create 3D axes until I updated last week. Thanks in advance. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Problem-AttributeError-module-object-has-no-attribute-string-to-bool-tp46020.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem: AttributeError: 'module' object has no attribute '_string_to_bool'
Also, please use the new mailing list at matplotlib-us...@python.org On Tue, Aug 18, 2015 at 12:53 PM Thomas Caswell tcasw...@gmail.com wrote: This is related to files from the previous implementation still being around. Please make sure you have fully removed the old mpl installation before installing the new one. Be aware that there is some difference in the way pip/setuptools/distutils deal with namespace packages so look for both `matplotlib` and `mpl_toolkits` directories. Tom On Tue, Aug 18, 2015 at 12:49 PM Bob Dobalina aspann...@gmail.com wrote: When trying to create a 3D axes, I receive this error: /usr/lib/pymodules/python2.7/mpl_toolkits/mplot3d/axes3d.pyc in grid(self, b, **kwargs) 1254 if len(kwargs) : 1255 b = True - 1256 self._draw_grid = maxes._string_to_bool(b) 1257 1258 def ticklabel_format(self, **kwargs) : AttributeError: 'module' object has no attribute '_string_to_bool' I'm running matplotlib 1.4.3 on linux (ubuntu-based), and was able to create 3D axes until I updated last week. Thanks in advance. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Problem-AttributeError-module-object-has-no-attribute-string-to-bool-tp46020.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
