Re: [Matplotlib-users] Blurry Scatter Plot
You may need to remove the alpha=0.05 or set it as 1 I think.
Chao
On Mon, Aug 3, 2015 at 12:51 AM, albad17 [via matplotlib]
ml-node+s1069221n45995...@n5.nabble.com wrote:
For some reason when I plot a scatter plot like this:
plt.scatter(diamonds['carat'], diamonds['price'], color = 'black', alpha =
0.05)
plt.xlabel('Carat')
plt.ylabel('Price')
I get a blurry scatter plot as shown in the image
I want something more like this:
Any help would be greatly appreciated.
Thanks
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Re: [Matplotlib-users] Basemap shiftgrid
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] ml-node+s1069221n43851...@n5.nabble.com 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 ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click here http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAML http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.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: http://matplotlib.1069221.n5.nabble.com/Basemap-shiftgrid-tp43851p43853.html 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
Re: [Matplotlib-users] Altering Basemap Colobar and Label positioning
Hi Andruska,
The Basemap.colorbar has a size keyword to allow you have the shrink-like
function to adjust the size of the colorbar.
Otherwise you can creat an axes on the exact position you want to hold the
colorbar, like below I have prepared an example for you:
arr = np.arange(100).reshape(10,10)
fig,ax = plt.subplots(1,1)
cs = ax.imshow(arr)
ax.set_position([0.2, 0.3, 0.6, 0.6])
axt = fig.add_axes([0.4,0.2,0.4,0.05])
cbar = plt.colorbar(cs,cax=axt,orientation='horizontal')
fig.text(0.25,0.22,'I am label',va='center',size=13)
draw()
I think it's hard to use the colorbar.set_label put the label directly on
the left of your colorbar, I rather suggest you to use fig.text to
position exactly a text for your label.
At the beginning of matplotlib you might feel confused, but after investing
a significant amount of time you feel it extremely flexible, and going to
like it :)
Cheers,
Chao
On Mon, Jun 16, 2014 at 6:32 PM, Andruska, Michael [via matplotlib]
ml-node+s1069221n43534...@n5.nabble.com wrote:
Hi all,
I am having great difficulty understanding how to change the size of my
basemap colorbar, altering its position and moving the text label all at
the same time. I would like to:
1. Shrink the size of the colorbar (there doesn’t seem to be a
shrink property in the basemap.colorbar() method (only plt.colorbar() or
fig.colorbar())
2. Move the bar so it is not centered but instead so its right edge
is aligned vertically with the right end of the basemap.
3. Move the colorbar W/m^2 text label so it is not below the
colorbar but is instead directly to its left.
I looked up several other responses online that mentioned doing things
such as adding a second axes, or using the shrink command from
plt.colorbar(), and changing some other properties such as padding, but in
the end, most of these alterations seem to introduce another problem when I
try them. Even after viewing their documentation, I still do not fully
understand their proper usage. Also, I tried a few properties listed in the
matplotlib documentation such as anchor and panchor in my the
fig.colorbar() method in attempt to move the bar around but when I tried to
run it, the keyword was not recognized by the interpreter and produced an
error (it seems strange that some of the keywords listed in the docs aren’t
being recognized; and I’m pretty sure I have the most current matplotlib
version too). You can see some of the commented commands I tried in the
code below (not all at once, of course, but just in various conjunctions
with one another). Here is an example of my code and an attached example of
what the plot currently looks like after running said code. Any helpful
advice would be greatly appreciated. So confused right now and I feel like
I’ve read the docs over and over to little avail (P.S. Getting down to the
nitty gritty of working with matplotlib objects and understanding its inner
workings to customize my plots better is really confusing, even with the
docs, (sigh)):
swi = swi.reshape(1059, 1799)
lat = lat.reshape(1059, 1799)
lon = lon.reshape(1059, 1799)
def plot_conus():
m = mpl_toolkits.basemap.Basemap(
llcrnrlon=-135.0,
llcrnrlat=19.0,
urcrnrlon=-60.0,
urcrnrlat=54.0,
projection='mill',
resolution='c')
m.drawcoastlines()
m.drawcountries()
m.drawstates()
# draw parallels
parallels = np.arange(0.,90,10.)
m.drawparallels(parallels,labels=[1,0,0,0],fontsize=10)
# draw meridians
meridians = np.arange(180.,360.,10.)
m.drawmeridians(meridians,labels=[0,0,0,1],fontsize=10)
return m
# find hex color values at http://www.colorpicker.com
swi_colors = [
##f800fd, # light purple
##9854c6, # dark purple
#04e9e7,
#019ff4,
#0300f4,
#02fd02,
#01c501,
#008e00,
#fdf802,
#e5bc00,
#fd9500,
#fd,
#d4,
#bc,
#A10505 # brick
]
swi_colormap = matplotlib.colors.ListedColormap(swi_colors)
m = plot_conus()
levels = []
for i in range(13):
levels.append(i*90.0)
# create black and white cross at observatory location on map
site_lon = -87.99495
site_lat = 41.70121
x_site, y_site = m(site_lon, site_lat)
m.plot(x_site, y_site, 'w+', markersize=30, markeredgewidth=8) # white
cross
m.plot(x_site, y_site, 'k+', markersize=25, markeredgewidth=3) # black
cross
norm = matplotlib.colors.BoundaryNorm(levels, 13)
cax = m.pcolormesh(lon, lat, swi, latlon=True, norm=norm,
cmap=swi_colormap)
#cbar = m.colorbar(cax)
fig = plt.gcf()
#ax = plt.gca()
#cbar = fig.colorbar(cax, orientation='horizontal', shrink=0.75)
#cbaxes = fig.add_axes([0.8, 0.1, 0.03, 0.8])
#cb = fig.colorbar(cax)
cbar = m.colorbar(cax, location='bottom', pad='6%')
cbar.set_label('$W/m^2$', fontsize=18)
plt.title('NOAA LAPS GHI, RT ' + modelrun_time_label + ', VT ' +
fcst_time_label)
plt.show()
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Re: [Matplotlib-users] Make clear figure used in the powerpoint slides?
Hi all, Thank you all for your kind response. I am sorry, but none of these solutions significantly improved the visual quality on microsoft powerpiont 2007. Thought I didn't try eps. So probably l have to go with the current quality. here is a best case I have now: https://www.dropbox.com/s/0uhjogalz92hssm/different_figure_example.pptx You can still see the a bit blur everywhere (currently with jpg being inserted directly). I didn't have better quality than this one by trying the method as suggested by you. Let me know if I am raising too much high demand for this. Cheers, Chao On Mon, Apr 21, 2014 at 4:41 PM, Jonathan Slavin [via matplotlib] ml-node+s1069221n43262...@n5.nabble.com wrote: Another alternative, if a vector graphics format doesn't work, is to make your png figure large. Then when you shrink it down to fit in your slide, it should still have good resolution. Jon On Mon, Apr 21, 2014 at 10:13 AM, [hidden email]http://user/SendEmail.jtp?type=nodenode=43262i=0 wrote: No Powerpoint version I know supports SVG (or any vector graphics format useful in this case) and Matplotlib does not export WMF graphics anymore. So the easiest way is to use PNGs, if you can live with raster graphics. Alternatively, if you need vector graphics, you can export the Matplotlib plot as SVG and convert it to WMF or EMF using Inkscape. This can be done in the command line like this: c:\Program Files\Inkscape-0.48\inkscape.exe --without-gui --export-emf=output.emf input.svg Juergen -- Jonathan D. Slavin Harvard-Smithsonian CfA [hidden email] http://user/SendEmail.jtp?type=nodenode=43262i=1 60 Garden Street, MS 83 phone: (617) 496-7981 Cambridge, MA 02138-1516 fax: (617) 496-7577USA -- Start Your Social Network Today - Download eXo Platform Build your Enterprise Intranet with eXo Platform Software Java Based Open Source Intranet - Social, Extensible, Cloud Ready Get Started Now And Turn Your Intranet Into A Collaboration Platform http://p.sf.net/sfu/ExoPlatform ___ Matplotlib-users mailing list [hidden email] http://user/SendEmail.jtp?type=nodenode=43262i=2 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/Make-clear-figure-used-in-the-powerpoint-slides-tp43252p43262.html To start a new topic under matplotlib - users, email ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click herehttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.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: http://matplotlib.1069221.n5.nabble.com/Make-clear-figure-used-in-the-powerpoint-slides-tp43252p43264.html Sent from the matplotlib - users mailing list archive at Nabble.com.-- Start Your Social Network Today - Download eXo Platform Build your Enterprise Intranet with eXo Platform Software Java Based Open Source Intranet - Social, Extensible, Cloud Ready Get Started Now And Turn Your Intranet Into A Collaboration Platform http://p.sf.net/sfu/ExoPlatform___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Make clear figure used in the powerpoint slides?
OK, I tried but I don't really see the difference between jpg and png by my eyes in the attached case, maybe for other more complicated plots there will be real difference. Anyway, thanks to all for your nice discussions. And, BTW, I tried 2 hours trying to find a way to convert svg to emf, but now I konw :p Cheers, Chao On Mon, Apr 21, 2014 at 9:49 PM, Benjamin Root-2 [via matplotlib] ml-node+s1069221n43265...@n5.nabble.com wrote: JPGs will *always* have bit blur as it is a lossy image format. PNGs would be a better bet. Ben Root On Mon, Apr 21, 2014 at 3:33 PM, ChaoYue [hidden email]http://user/SendEmail.jtp?type=nodenode=43265i=0 wrote: Hi all, Thank you all for your kind response. I am sorry, but none of these solutions significantly improved the visual quality on microsoft powerpiont 2007. Thought I didn't try eps. So probably l have to go with the current quality. here is a best case I have now: https://www.dropbox.com/s/0uhjogalz92hssm/different_figure_example.pptx You can still see the a bit blur everywhere (currently with jpg being inserted directly). I didn't have better quality than this one by trying the method as suggested by you. Let me know if I am raising too much high demand for this. Cheers, Chao On Mon, Apr 21, 2014 at 4:41 PM, Jonathan Slavin [via matplotlib] [hidden email] http://user/SendEmail.jtp?type=nodenode=43264i=0 wrote: Another alternative, if a vector graphics format doesn't work, is to make your png figure large. Then when you shrink it down to fit in your slide, it should still have good resolution. Jon On Mon, Apr 21, 2014 at 10:13 AM, [hidden email]http://user/SendEmail.jtp?type=nodenode=43262i=0 wrote: No Powerpoint version I know supports SVG (or any vector graphics format useful in this case) and Matplotlib does not export WMF graphics anymore. So the easiest way is to use PNGs, if you can live with raster graphics. Alternatively, if you need vector graphics, you can export the Matplotlib plot as SVG and convert it to WMF or EMF using Inkscape. This can be done in the command line like this: c:\Program Files\Inkscape-0.48\inkscape.exe --without-gui --export-emf=output.emf input.svg Juergen -- Jonathan D. Slavin Harvard-Smithsonian CfA [hidden email] http://user/SendEmail.jtp?type=nodenode=43262i=1 60 Garden Street, MS 83 phone: a href=tel:%28617%29%20496-7981 value=+16174967981 target=_blank(617) 496-7981 Cambridge, MA 02138-1516 fax: a href=tel:%28617%29%20496-7577 value=+16174967577 target=_blank(617) 496-7577USA -- Start Your Social Network Today - Download eXo Platform Build your Enterprise Intranet with eXo Platform Software Java Based Open Source Intranet - Social, Extensible, Cloud Ready Get Started Now And Turn Your Intranet Into A Collaboration Platform http://p.sf.net/sfu/ExoPlatform ___ Matplotlib-users mailing list [hidden email] http://user/SendEmail.jtp?type=nodenode=43262i=2 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/Make-clear-figure-used-in-the-powerpoint-slides-tp43252p43262.html To start a new topic under matplotlib - users, email [hidden email]http://user/SendEmail.jtp?type=nodenode=43264i=1 To unsubscribe from matplotlib, click here. NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.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: Make clear figure used in the powerpoint slides?http://matplotlib.1069221.n5.nabble.com/Make-clear-figure-used-in-the-powerpoint-slides-tp43252p43264.html Sent from the matplotlib - users mailing list archivehttp://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.htmlat Nabble.com. -- Start Your Social Network Today - Download
Re: [Matplotlib-users] How can I put a white area in the middle of colorbar showing the masked data?
Dear Eric,
This solved part of my problem. thanks a lot.
I think I will revisit this issue when I have time (not promised).
do you think this could be some feature desirable?
Cheers,
Chao
On Sat, Mar 1, 2014 at 10:39 PM, Eric Firing [via matplotlib]
ml-node+s1069221n42952...@n5.nabble.com wrote:
On 2014/03/01 11:03 AM, ChaoYue wrote:
The most correct way might be to design a new colormap with white color
exactly in the middle, however this is very tedious, especially if I
want to try
different colormaps. so the alternative approach would be to set the
values
falling in (-1,1) as being masked, so they will be the same as the axes
background color as you mentioned (in our case it's white). My question
is,
how can I put this background color (which shows maksed data) in the
colorbar,
by avoiding design a new colormap?
It's not the answer you want to hear, but I think the correct answer is
that you should do this via the colormap, and not by masking the low
values. It doesn't have to be painful. If, in contourf, you use a
diverging colormap with white already in the middle
(http://matplotlib.org/examples/color/colormaps_reference.html) and a
norm with symmetric limits (vmin and vmax; you can let them be set
automatically after you specify your symmetric set of contour boundaries
appropriately) then it will be done for you.
e.g.,
z = 10 * np.random.randn(20, 30)
clevs = [-10, -5, -2, -1, 1, 2, 5, 10]
cs = plt.contourf(z, levels=clevs, cmap=plt.get_cmap('PRGn'),
extend='both')
cbar = plt.colorbar(cs, spacing='uniform')
Eric
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Re: [Matplotlib-users] How can I put a white area in the middle of colorbar showing the masked data?
Hi Eric,
thanks for answering. I updated the attached figure.
The idea is, we want to show the tree cover difference, but to make
the negative and positive values very contrastive, we would like to
assign the values falling in small range of change (in the figure, it's -1
to 1)
as blank (or gray), in order to make the remaining data constrasting
different.
The most correct way might be to design a new colormap with white color
exactly in the middle, however this is very tedious, especially if I want
to try
different colormaps. so the alternative approach would be to set the values
falling in (-1,1) as being masked, so they will be the same as the axes
background color as you mentioned (in our case it's white). My question is,
how can I put this background color (which shows maksed data) in the
colorbar,
by avoiding design a new colormap?
Then I notice in the colormap methos there is one called set_bad, I guess
this
is for this purpose, as in the case of set_over and set_under, which
will
influence the colors in the colorbar when you later call the colorbar
method.
But is it not like this?
I invented an example like below:
import numpy as np
import matplotlib as mat
import matplotlib.pyplot as plt
data = np.random.random(1).reshape(100,100) - 0.5
data_masked = np.ma.masked_inside(data,-0.05,0.05)
cmap = mat.cm.jet
cmap.set_bad('0.5')
fig,ax = plt.subplots(1,1)
lev = [-0.5,-0.4,-0.3,-0.2,-0.1,-0.05,0,0.05,0.1,0.2,0.3,0.4,0.5]
cas = ax.contourf(data_masked,levels=lev,cmap=cmap)
plt.colorbar(cas,ticks=lev)
In this example, how can I make the colors between -0.05 to 0.05 as white,
if I don't want to bother write a new colormap.
Thanks a lot for your time, I hope this case could be useful for others as I
am sure it's very widely used in geographic related sciences.
Cheers,
Chao
On Sat, Mar 1, 2014 at 9:16 PM, Eric Firing [via matplotlib]
ml-node+s1069221n42950...@n5.nabble.com wrote:
On 2014/03/01 9:57 AM, Chao YUE wrote:
Dear all,
In many cases in geoscience mapping we want to show the some missing
values
as some special color in the colorbar. like attached one.
I know there is one method in matplotlib colormap called set_bad,
official
docs says:
Set color to be used for masked values.
But I don't know how to make this work when I call the colorbar method.
It is not a matter of calling the colorbar method, but of setting up the
colormap used on the color-mapped plot for which the colorbar is made.
The one wrinkle to this is that if you are using contourf, the masked
regions are not filled at all, so they take on the color of the
background. To give them the color you assigned to the colormap with
set_bad, you need to assign that same color to the background, e.g.
ax.set_axis_bgcolor(#bdb76b)
On re-reading your message, however, I think you are asking something
else, but it is not clear to me from your example exactly what you are
trying to do.
The colorbar is strictly for a range or sequence of colors, which can
include triangle regions for the over and under values; there is no
place on the colorbar for a bad or missing value. Where would you
put one? I don't see any such region on the example colorbar you
attached.
Eric
Is there anyone who have the some successful experience?
Thanks a lot in advance!
Chao
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Re: [Matplotlib-users] colorbllind problem
Hi Gabriele,
I'm afraid you have to put the numbers by yourself using the plt.text, as
in an example:
a = np.arange(10)
b = np.tile(a,(10,1))
c = np.tile(a[:,np.newaxis],(10)) + b
plot(c)
for i in range(10):
plt.text(5,c[i][5],str(i))
I've askd by a review to use the colorblind compatible colors when trying
to submit a paper,
and I find a website below:
http://jfly.iam.u-tokyo.ac.jp/color/
I put some RGB numbers for some colors here if you feel like to have a try:
CCC =
{
'Black':np.array([0,0,0])/255.,
'Orange':np.array([230,159,0])/255.,
'Skyblue':np.array([85,180,233])/255.,
'BluishGreen':np.array([0,158,115])/255.,
'Yellow':np.array([240,228,66])/255.,
'Blue':np.array([0,114,178])/255.,
'Vermilion':np.array([213,94,0])/255.,
'ReddishPurple':np.array([204,121,167])/255.
}
Cheers,
Chao
On Mon, Feb 17, 2014 at 7:17 PM, Gabriele Brambilla [via matplotlib]
ml-node+s1069221n42884...@n5.nabble.com wrote:
Hi,
I'm dealing with a guy that is colorblind.
Have you got any suggestion on how could I show a plot like the one
attached to him?
Is there an option in pyplot that write little numbers near the curves
instead of colors?
thanks
Gabriele
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Re: [Matplotlib-users] way to copy an axes object into different figures
Hi Michael, so finally how it goes? I may use something similar, do you finally make it? cheers, Chao -- View this message in context: http://matplotlib.1069221.n5.nabble.com/way-to-copy-an-axes-object-into-different-figures-tp41623p42203.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register http://pubads.g.doubleclick.net/gampad/clk?id=60134071iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Europe without coastline
Hi,
I am using mat 1.20 and basemap 1.0.5, I tried your code and don't have the
same issue.
Chao
On Tue, Aug 6, 2013 at 9:33 AM, vwf [via matplotlib]
ml-node+s1069221n41721...@n5.nabble.com wrote:
Hello,
This weekend I started using matplotlib and I think it is great.
Beautiful graphs with very little effort.
My data is geographical so I would like to draw on a map, North-Sea (UK
- Netherlands). For this I installed the basemap on my Debian system
(Stable/Wheezy). This has a strange problem. If I zoom out, all is
there. If I start zooming in coastlines disappears. Is this my
mistake, a problem in the packages in Debian, or something else?
Thanks
The resulting image on my system:
http://img21.imageshack.us/img21/385/xoe7.png
My system:
Python 2.7.3 (default, Jan 2 2013, 16:53:07)
[GCC 4.7.2] on linux2
import matplotlib
matplotlib.__version__
'1.1.1rc2'
My code:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import matplotlib as mpl
mpl.rcParams['font.size'] = 8.
mpl.rcParams['font.family'] = 'Arial'
mpl.rcParams['axes.labelsize'] = 5.
mpl.rcParams['xtick.labelsize'] = 5.
mpl.rcParams['ytick.labelsize'] = 5.
#W-Europe
x1 = -16.
x2 = 30.
y1 = 36.
y2 = 62.
m = Basemap(resolution='i',projection='merc',
llcrnrlat=y1,urcrnrlat=y2,llcrnrlon=x1,urcrnrlon=x2,lat_ts=(x1+x2)/2)
m.drawcountries(linewidth=0.5)
m.drawcoastlines(linewidth=0.5)
m.drawparallels(np.arange(y1,y2,2.),labels=[1,0,0,0],color='black',dashes=[1,0],labelstyle='+/-',linewidth=0.2)
m.drawmeridians(np.arange(x1,x2,2.),labels=[0,0,0,1],color='black',dashes=[1,0],labelstyle='+/-',linewidth=0.2)
plt.savefig('eur_101.png',dpi=100)
plt.show()
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Re: [Matplotlib-users] Change column number within legend
could you use the bbox_to_anchor keyword to place your legend in a precise way so that they could be alignd? sorry ,this is the only way I could think of (But I am not a real expert in matplotlib) Chao On Sun, Aug 4, 2013 at 5:45 PM, Tyrax [via matplotlib] ml-node+s1069221n41704...@n5.nabble.com wrote: Hi all, this is my first eMail to a mailing list, I hope I'm not messing it up. I posted my question already on stackoverflow, but apparently there's no simple solution to it: http://stackoverflow.com/questions/17909251/pyplot-change-ncols-within-a-legend In other words, I have a Figure with a many-entries-legend, but the legend text for most but not all of the object is very short. I'd like to use two or more columns for those short entries and switch back to single column mode when dealing with the longer legend entries. Two options came to my mind. One, make the legend work like a multicolumn-table in LaTeX or, two, having a container with multiple, well-aligned legends with individual properties for each one. I tried to solve my problem by setting up two legends. The downside is the need for additional aligning of the two legends. Even this is still beyond my skills. Thanks, Tyrax -- Get your SQL database under version control now! Version control is standard for application code, but databases havent caught up. So what steps can you take to put your SQL databases under version control? Why should you start doing it? Read more to find out. http://pubads.g.doubleclick.net/gampad/clk?id=49501711iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list [hidden email] http://user/SendEmail.jtp?type=nodenode=41704i=0 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/Change-column-number-within-legend-tp41704.html To start a new topic under matplotlib - users, email ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click herehttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** 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: http://matplotlib.1069221.n5.nabble.com/Change-column-number-within-legend-tp41704p41706.html Sent from the matplotlib - users mailing list archive at Nabble.com.-- Get your SQL database under version control now! Version control is standard for application code, but databases havent caught up. So what steps can you take to put your SQL databases under version control? Why should you start doing it? Read more to find out. http://pubads.g.doubleclick.net/gampad/clk?id=49501711iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to make mat.figure.Figure.add_axes generated axes adjustable with the interactive tool?
Hi, thanks. the attached is what I achieved so far. Looks quite nice. each subplot visible now actually contains two mat.axes.Axes object (with bottom and top spines invisible) which is created by using the fig.add_axes, before the place occupied by the two axes now is actually only one single subplot ojbect, which is created by using fig,axs = plt.subplots(2,3). something like this: for ax in axs.flatten(): #some way to find the position of the two new axes sub1 = fig.add_axes() sub2 = fig.add_axes() fig.delaxes(ax) Now the problem is that all the original subplots have been removed, replaced by 2X6 mat.axes.Axes, But they don't respond to any operation in the interacitve window (like, you can use your mouse to select the left/righ/wspace etc) I hope I am clear. thanks! cheers, Chao On Fri, Jul 26, 2013 at 5:55 PM, Sterling Smith [via matplotlib] ml-node+s1069221n41615...@n5.nabble.com wrote: Chao, You are right, fig.add_subplot does not support precise positioning. Why don't you send a picture of a sample layout you have obtained with add_axes? -Sterling On Jul 26, 2013, at 1:26AM, ChaoYue wrote: Dear Sterling, thanks for your answer. The idea is that I would like to add a subplot with precise position, as in the method of fig.add_axes? Does fig.add_subplot support this, I tried fig.add_subplot(position=(0.2,0.2,0.1,0.1)) but it does not work... thanks! Chao On Thu, Jul 25, 2013 at 8:09 PM, Sterling Smith [via matplotlib] [hidden email] wrote: Chao, plt.subplots returns a figure instance. Can you use the add_subplot method of that figure instance to make your new axes? If so, then I think that they should respond to the new requests for left/right/bottom/wspace space. -Sterling On Jul 25, 2013, at 10:06AM, Chao YUE wrote: Dear all, First I make some subplots using the plt.subplots command, then I use mat.figure.Figure.delaxes to delete the axes, and add some small new ones in the same space by using mat.figure.Figure.add_axes, but I find after rendering the figure in the interative window, I cannot adjust the left/right/bottom/wspace etc in a interactive way, the old subplots that are generated using plt.subplots command will move, and the new ones generated using mat.figure.Figure.add_axes just don't move at all, so what should I do if I want the new ones also move? Because the interative window is really useful when you want to have figures quickly. thanks a lot for any hints. cheers, Chao -- *** 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 -- See everything from the browser to the database with AppDynamics Get end-to-end visibility with application monitoring from AppDynamics Isolate bottlenecks and diagnose root cause in seconds. Start your free trial of AppDynamics Pro today! http://pubads.g.doubleclick.net/gampad/clk?id=48808831iu=/4140/ostg.clktrk___ Matplotlib-users mailing list [hidden email] https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- See everything from the browser to the database with AppDynamics Get end-to-end visibility with application monitoring from AppDynamics Isolate bottlenecks and diagnose root cause in seconds. Start your free trial of AppDynamics Pro today! http://pubads.g.doubleclick.net/gampad/clk?id=48808831iu=/4140/ostg.clktrk ___ 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/how-to-make-mat-figure-Figure-add-axes-generated-axes-adjustable-with-the-interactive-tool-tp41610p41611.html To start a new topic under matplotlib - users, email [hidden email] To unsubscribe from matplotlib, click here. NAML -- *** 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: how to make mat.figure.Figure.add_axes generated axes
Re: [Matplotlib-users] how to make a colorbar starting with a different color?
Thanks Ben. extendrect keyword is in mat 1.3, I didn't try this but I tried set_under and extend='min' with mat 1.2 and it works very nice. cheers, Chao On Tue, Jul 2, 2013 at 4:14 PM, Benjamin Root-2 [via matplotlib] ml-node+s1069221n41364...@n5.nabble.com wrote: There is the set_over and set_under members of a colormap, and the plt.colorbar() function takes an extend='min' argument to add an extra color at the beginning of the colorbar. Setting extendrect=True, the added color will be rectangular instead of triangular. Hopefully that helps. Cheers, Ben Root On Tue, Jul 2, 2013 at 6:14 AM, Chao YUE [hidden email]http://user/SendEmail.jtp?type=nodenode=41364i=0 wrote: One way I could think of is to make two contingent mat.axes.Axes, with a smaller one setting as white backgroud, and the other bigger on holding the colorbar. Is there some better way? Chao On Tue, Jul 2, 2013 at 12:12 PM, Chao YUE [hidden email]http://user/SendEmail.jtp?type=nodenode=41364i=1 wrote: Dear all, Does anyone have similar experience that to make a colorbar starting from a different color in the colormap? for example, to denote the region with invalid data. I attahced a figure to show what I would like to have, the withe region in the colorbar in the attahced figure shows no data. thanks a lot for any help, best, Chao -- *** 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 -- *** 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 -- This SF.net email is sponsored by Windows: Build for Windows Store. http://p.sf.net/sfu/windows-dev2dev ___ Matplotlib-users mailing list [hidden email] http://user/SendEmail.jtp?type=nodenode=41364i=2 https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- This SF.net email is sponsored by Windows: Build for Windows Store. http://p.sf.net/sfu/windows-dev2dev ___ Matplotlib-users mailing list [hidden email] http://user/SendEmail.jtp?type=nodenode=41364i=3 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/how-to-make-a-colorbar-starting-with-a-different-color-tp41362p41364.html To start a new topic under matplotlib - users, email ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click herehttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** 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: http://matplotlib.1069221.n5.nabble.com/how-to-make-a-colorbar-starting-with-a-different-color-tp41362p41383.html Sent from the matplotlib - users mailing list archive at Nabble.com.-- This SF.net email is sponsored by Windows: Build for Windows Store. http://p.sf.net/sfu/windows-dev2dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Is it possible to truncate axes in matplotlib?
Is this what you want? I change a bit of the code and put some example data there. fig,axs = plt.subplots(nrows=2, ncols = 2, figsize = (6, 6) ) plt.subplots_adjust( left = 0.0505, right = 0.96, bottom = 0.05, top = 0.95 , wspace = 0.07, hspace = 0.12) left_ax, right_ax = Axes_Replace_Split_Axes(fig,axs[1,1],split_fraction=[0.48,0.02,0.50],direction='h') Axes_Set_Breakaxis(left_ax, right_ax, 0.03,0.02,'h') #left_ax.set_xlim(-0.05, 0.29) #left_ax.set_xticks (np.arange (0, 0.3, 0.1)) #right_ax.set_xticks (np.arange (0.7, 1.05, 0.1)) #right_ax.set_xlim(0.71, 1) left_ax.plot(np.arange(10),'ro') right_ax.plot(np.arange(10),'ro') left_ax.set_xlim(0,10) right_ax.set_xlim(0,10) left_ax.set_ylim(0,15) right_ax.set_ylim(0,40) cheers, Chao On Sat, May 25, 2013 at 11:54 AM, mat [via matplotlib] ml-node+s1069221n4112...@n5.nabble.com wrote: Great! The code is almost finished: fig,axs = plt.subplots(nrows=2, ncols = 2, figsize = (11, 10) ) plt.subplots_adjust( left = 0.0505, right = 0.96, bottom = 0.05, top = 0.95 , wspace = 0.07, hspace = 0.12) left_ax, right_ax = Axes_Replace_Split_Axes(fig,axs[1,1],split_fraction=[0.48,0.02,0.50],direction='h') Axes_Set_Breakaxis(left_ax, right_ax, 0.03,0.02,'h') left_ax.set_xlim(-0.05, 0.29) left_ax.set_xticks (np.arange (0, 0.3, 0.1)) right_ax.set_xticks (np.arange (0.7, 1.05, 0.1)) right_ax.set_xlim(0.71, 1) All what I need now is to manipulate the ylim of the truncated subplot (independently for the left and right y axes). plt.ylim(300, 500) only modifies the right yaxis of the truncated plot, not the left one. Is it possible to modify the left y axis of the truncated plot? 2013/5/24 ChaoYue [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41129i=0 Hi Mat, so you have two points in the TODO: #TODO: #plot something on the left side of suplot 2 -- plt.plot(xx,yy, marker = 'o', color = 'k') does not work #change the y axis of suplot 2, on the right and on the left side the first one, is this what you want? left_ax.plot(xx,yy, marker = 'o', color = 'k') the second one, I don't get well, are you meaning something like: left_ax.set_ylim()? cheers, Chao On Fri, May 24, 2013 at 2:36 PM, mat [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41124i=0 wrote: Hi Chao, Please find attached the script which includes your 3 functions, and a plot that I've just made. The things I can't manage to do are listed in the TODO section (end of the script) Cheers, Mat 2013/5/24 ChaoYue [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41123i=0 Hi, could you send an attachment to show what you've achieved so far? Chao -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41122.html To unsubscribe from Is it possible to truncate axes in matplotlib?, click here. NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml *truncated_plot.py* (11K) Download Attachmenthttp://matplotlib.1069221.n5.nabble.com/attachment/41123/0/truncated_plot.py -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41123.html To start a new topic under matplotlib - users, email [hidden email]http://user/SendEmail.jtp?type=nodenode=41124i=1 To unsubscribe from matplotlib, click here. NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** 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 -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41124.html To unsubscribe from Is it possible to truncate axes
Re: [Matplotlib-users] Is it possible to truncate axes in matplotlib?
Hi Mat, Just one words, the plt. functions probably normally pick the last active axes to act on. many of these functions are methods of axes object, you can call directly from there. Chao On Sat, May 25, 2013 at 1:14 PM, mat [via matplotlib] ml-node+s1069221n41131...@n5.nabble.com wrote: Perfect!! Many thanks! 2013/5/25 ChaoYue [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41131i=0 Is this what you want? I change a bit of the code and put some example data there. fig,axs = plt.subplots(nrows=2, ncols = 2, figsize = (6, 6) ) plt.subplots_adjust( left = 0.0505, right = 0.96, bottom = 0.05, top = 0.95 , wspace = 0.07, hspace = 0.12) left_ax, right_ax = Axes_Replace_Split_Axes(fig,axs[1,1],split_fraction=[0.48,0.02,0.50],direction='h') Axes_Set_Breakaxis(left_ax, right_ax, 0.03,0.02,'h') #left_ax.set_xlim(-0.05, 0.29) #left_ax.set_xticks (np.arange (0, 0.3, 0.1)) #right_ax.set_xticks (np.arange (0.7, 1.05, 0.1)) #right_ax.set_xlim(0.71, 1) left_ax.plot(np.arange(10),'ro') right_ax.plot(np.arange(10),'ro') left_ax.set_xlim(0,10) right_ax.set_xlim(0,10) left_ax.set_ylim(0,15) right_ax.set_ylim(0,40) cheers, Chao On Sat, May 25, 2013 at 11:54 AM, mat [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41130i=0 wrote: Great! The code is almost finished: fig,axs = plt.subplots(nrows=2, ncols = 2, figsize = (11, 10) ) plt.subplots_adjust( left = 0.0505, right = 0.96, bottom = 0.05, top = 0.95 , wspace = 0.07, hspace = 0.12) left_ax, right_ax = Axes_Replace_Split_Axes(fig,axs[1,1],split_fraction=[0.48,0.02,0.50],direction='h') Axes_Set_Breakaxis(left_ax, right_ax, 0.03,0.02,'h') left_ax.set_xlim(-0.05, 0.29) left_ax.set_xticks (np.arange (0, 0.3, 0.1)) right_ax.set_xticks (np.arange (0.7, 1.05, 0.1)) right_ax.set_xlim(0.71, 1) All what I need now is to manipulate the ylim of the truncated subplot (independently for the left and right y axes). plt.ylim(300, 500) only modifies the right yaxis of the truncated plot, not the left one. Is it possible to modify the left y axis of the truncated plot? 2013/5/24 ChaoYue [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41129i=0 Hi Mat, so you have two points in the TODO: #TODO: #plot something on the left side of suplot 2 -- plt.plot(xx,yy, marker = 'o', color = 'k') does not work #change the y axis of suplot 2, on the right and on the left side the first one, is this what you want? left_ax.plot(xx,yy, marker = 'o', color = 'k') the second one, I don't get well, are you meaning something like: left_ax.set_ylim()? cheers, Chao On Fri, May 24, 2013 at 2:36 PM, mat [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41124i=0 wrote: Hi Chao, Please find attached the script which includes your 3 functions, and a plot that I've just made. The things I can't manage to do are listed in the TODO section (end of the script) Cheers, Mat 2013/5/24 ChaoYue [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41123i=0 Hi, could you send an attachment to show what you've achieved so far? Chao -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41122.html To unsubscribe from Is it possible to truncate axes in matplotlib?, click here. NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml *truncated_plot.py* (11K) Download Attachmenthttp://matplotlib.1069221.n5.nabble.com/attachment/41123/0/truncated_plot.py -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41123.html To start a new topic under matplotlib - users, email [hidden email]http://user/SendEmail.jtp?type=nodenode=41124i=1 To unsubscribe from matplotlib, click here. NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572
Re: [Matplotlib-users] Is it possible to truncate axes in matplotlib?
Hi, could you send an attachment to show what you've achieved so far? Chao -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41122.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_may ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Is it possible to truncate axes in matplotlib?
Hi Mat, so you have two points in the TODO: #TODO: #plot something on the left side of suplot 2 -- plt.plot(xx,yy, marker = 'o', color = 'k') does not work #change the y axis of suplot 2, on the right and on the left side the first one, is this what you want? left_ax.plot(xx,yy, marker = 'o', color = 'k') the second one, I don't get well, are you meaning something like: left_ax.set_ylim()? cheers, Chao On Fri, May 24, 2013 at 2:36 PM, mat [via matplotlib] ml-node+s1069221n41123...@n5.nabble.com wrote: Hi Chao, Please find attached the script which includes your 3 functions, and a plot that I've just made. The things I can't manage to do are listed in the TODO section (end of the script) Cheers, Mat 2013/5/24 ChaoYue [via matplotlib] [hidden email]http://user/SendEmail.jtp?type=nodenode=41123i=0 Hi, could you send an attachment to show what you've achieved so far? Chao -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41122.html To unsubscribe from Is it possible to truncate axes in matplotlib?, click here. NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml *truncated_plot.py* (11K) Download Attachmenthttp://matplotlib.1069221.n5.nabble.com/attachment/41123/0/truncated_plot.py -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41123.html To start a new topic under matplotlib - users, email ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click herehttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** 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: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41124.html Sent from the matplotlib - users mailing list archive at Nabble.com.-- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_may___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Making space for a long legend outside of a barchart
Hi Martin,
I am not sure that I understand your question very well.
For a single scatter() plot, I guess I agree with you, you need to put it
in [] because
legend() function must receive iterable as far as I understand.
I don't think scatter() allows you to pass a series of group of (x,y) data
as plot().
So probably if you want to scatter more than one groups of data, you need
to:
handle_list = []
label_list = []
for (x,y) in zip(xdata_list, ydata_list):
d = ax1.scatter(x,y)
handle_list.append(x)
label_list.append()
ax2.legend(handle_list,label_list,...)
This is what I could think of, perhaps others have better ways.
cheers,
Chao
On Thu, May 23, 2013 at 4:57 PM, Martin Mokrejs [via matplotlib]
ml-node+s1069221n41114...@n5.nabble.com wrote:
Hi Chao,
I spent some time to figure out why I cannot replace ax1.hist() with
ax1.scatter().
It seems hist() returns list of 'Rectangle' (sadly if there is just one,
it does return
just the 'Rectangle' (not wrapped in a list) ... somewhere a trick
a = [a, ]
is likely needed.
Anyway, my problem is that scatter() returns 'PathCollection' object,
whatever that is.
How can I grab handles to individual legend items to move them under ax2
like in your
hist-plot example?
Thank you for your help,
Martin
ChaoYue wrote:
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
you're asking some object-oriented way, I personally don't think using
pylab and set_tight_layout are the good way
to be object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and
hist are all matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for you
if there are 50 legned handlers and you want to show
them in 2 columns with a very high width/height ratio of the figure
hope it could be of a bit help,
cheers,
Chao
On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib]
[hidden email] /user/SendEmail.jtp?type=nodenode=41102i=0 wrote:
Hi Ben,
Benjamin Root wrote:
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs [hidden email]
http://user/SendEmail.jtp?type=nodenode=41090i=0 mailto:[hidden
email] http://user/SendEmail.jtp?type=nodenode=41090i=1 wrote:
Hi,
I am having trouble to get space allocated for a long legend
text,
lets say spanning 2/3 - 3/4 of the whole output. I would like
to have
stacked barchart as 1st subplot and the place of remaining 3
subplots
to be actually allocated by the legend. Alternatively, could I
get the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically
minimizing
output figure size? For example, the width would be 1120px
while height
be multiples of 840px (840 for each subplot)?
Attached is a quick example. It shows also that I tried
tight_layout()
but wasn't successful with this either. I would be glad for
some help,
ideally converting the whole thing into an object-oriented
approach.
I am generating several figures in a row and would like to
clear()/del()
any previously used data ASAP.
Thank you,
Martin
Am using mpl-1.2.2
Try fig.savefig('foobar.png', bbox_inches='tight') when saving
the
image. It will make the figure size such that all the visible
elements of the figure will fit into the saved output.
tight_layout()
is meant to make sure the elements don't overlap each other, but
does
nothing about making sure nothing gets clipped.
Ah, would be nice to make this clear in the docs. So far was doing
import pylab
F = pylab.gcf()
F.set_tight_layout(True)
which as you say does not help the way I thought.
Unfortunately, while
fig.savefig('foobar.png', bbox_inches='tight')
helped to get everything into the .png file (attached), the barchart
itself
should span according to the code I posted just 1/2 of the figure.
But somehow
it is enlarged and rescaled so that it occupies *more than* 1/2 of
the figure
Re: [Matplotlib-users] Making space for a long legend outside of a barchart
Hi Martin,
I don't know tight_layout quite well. Probably you could also split the
handlers of the barplot into
and 2 or 3 or 4 parts depending on the number, and then show them in
sperate axes?
then you create n+1 subplots for the whole figure?
probably this is quite stupid.
cheers,
Chao
On Wed, May 22, 2013 at 1:03 PM, Martin Mokrejs [via matplotlib]
ml-node+s1069221n41104...@n5.nabble.com wrote:
Hi Chao,
ChaoYue wrote:
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
I think you got the idea quite well.
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
I added plt.show() and it demonstrates my problem: the legend is not
complete in the
figure. That is why I think I could instead use:
import pylab as plt
import numpy as np
fig = plt.figure()
DefaultSize = tuple(fig.get_size_inches())
fig.set_size_inches(DefaultSize[0], 4*DefaultSize[1])
ax1 = fig.add_subplot(411)
ax2 = fig.add_subplot(412)
arrlist = [np.random.normal(size=100) for i in range(50)]
ret = ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in ret[2]]
labellist = ['data'+str(i) for i in range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
plt.show()
But, this does not make the image 4* taller than I thought. But thank you
for the example how to extract the legend of ax1 and place it under ax2.
you're asking some object-oriented way, I personally don't think
using pylab and set_tight_layout are the good way to be
object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and hist are all
matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for
you if there are 50 legend handlers and you want to show them in 2
columns with a very high width/height ratio of the figure
The problem is that the data are calculated dynamically and sometimes
I need to display data for 20 data types while sometimes for 200 data
types (and for each I need a legend).
I did not show that but I do calculate how many columns I could use
legend display and pass that via pylab.legend(..., ncol= ). Of course
at the same time I could calculate whether I will need 2 or 3 or 4
subplots on the page (the first will be the barchart itself), the
remaining space will be used by the long legend of subplot(211).
I would hope that matplotlib does not mind that I actually issue any
fig.add_subplot() foe the third or even fourth subplot at all. That
would be just a trick to get more space for the legend. If I can live
with just with subplot(211) and subplot(212)
The fig.savefig('foobar.png', bbox_inches='tight') which Ben mentioned
yesterday is nice but I want it to crop the image only vertically.
An optional argument like:
fig.savefig('foobar.png', bbox_inches='tight', keep_fig_width=True)
would maybe do the job for me.
What I still don't understand what is resizing the image in tight_layout.
It doesn't seem to me that just the unused border space is chopped away.
Fonts look different, ratio between x and y axes lengths seems different.
Certainly not what I want.
hope it could be of a bit help,
Sure, I am still learning to use matplotlib.
Martin
cheers,
Chao
On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib]
[hidden email] /user/SendEmail.jtp?type=nodenode=41102i=0 wrote:
Hi Ben,
Benjamin Root wrote:
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs [hidden email]
http://user/SendEmail.jtp?type=nodenode=41090i=0 mailto:[hidden
email] http://user/SendEmail.jtp?type=nodenode=41090i=1 wrote:
Hi,
I am having trouble to get space allocated for a long legend
text,
lets say spanning 2/3 - 3/4 of the whole output. I would like
to have
stacked barchart as 1st subplot and the place of remaining 3
subplots
to be actually allocated by the legend. Alternatively, could I
get the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically
Re: [Matplotlib-users] Making space for a long legend outside of a barchart
Dear Martin,
I worked out a similar example for your reference as I don't catch your
example very well.
fig =
plt.figure()
ax1 =
fig.add_subplot(211)
ax2 =
fig.add_subplot(212)
arrlist = [np.random.normal(size=100) for i in
range(50)]
ret =
ax1.hist(arrlist,histtype='barstacked')
reclist = [patchlist[0] for patchlist in
ret[2]]
labellist = ['data'+str(i) for i in
range(50)]
ax2.legend(reclist,labellist,loc='upper
left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
ax2.set_frame_on(False)
ax2.tick_params(bottom='off',left='off',right='off',top='off')
plt.setp(ax2.get_yticklabels(),visible=False)
plt.setp(ax2.get_xticklabels(),visible=False)
you're asking some object-oriented way, I personally don't think using
pylab and set_tight_layout are the good way
to be object-oriented as pylab is only a bounding wrapper by my
understanding (maybe I am wrong!). legend and
hist are all matplotlib.axes.Axes method.
Also, I think it's unrealistic to ask the figure do a nice job for you if
there are 50 legned handlers and you want to show
them in 2 columns with a very high width/height ratio of the figure
hope it could be of a bit help,
cheers,
Chao
On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib]
ml-node+s1069221n41090...@n5.nabble.com wrote:
Hi Ben,
Benjamin Root wrote:
On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs [hidden
email]http://user/SendEmail.jtp?type=nodenode=41090i=0mailto:[hidden
email] http://user/SendEmail.jtp?type=nodenode=41090i=1 wrote:
Hi,
I am having trouble to get space allocated for a long legend text,
lets say spanning 2/3 - 3/4 of the whole output. I would like to
have
stacked barchart as 1st subplot and the place of remaining 3
subplots
to be actually allocated by the legend. Alternatively, could I get
the
legend saved into a separate figure?
Or could the space for legend text be allocated automatically
minimizing
output figure size? For example, the width would be 1120px while
height
be multiples of 840px (840 for each subplot)?
Attached is a quick example. It shows also that I tried
tight_layout()
but wasn't successful with this either. I would be glad for some
help,
ideally converting the whole thing into an object-oriented approach.
I am generating several figures in a row and would like to
clear()/del()
any previously used data ASAP.
Thank you,
Martin
Am using mpl-1.2.2
Try fig.savefig('foobar.png', bbox_inches='tight') when saving the
image. It will make the figure size such that all the visible
elements of the figure will fit into the saved output. tight_layout()
is meant to make sure the elements don't overlap each other, but does
nothing about making sure nothing gets clipped.
Ah, would be nice to make this clear in the docs. So far was doing
import pylab
F = pylab.gcf()
F.set_tight_layout(True)
which as you say does not help the way I thought.
Unfortunately, while
fig.savefig('foobar.png', bbox_inches='tight')
helped to get everything into the .png file (attached), the barchart
itself
should span according to the code I posted just 1/2 of the figure. But
somehow
it is enlarged and rescaled so that it occupies *more than* 1/2 of the
figure.
What in pylab is resizing my image? Note: the final image is 625x1075.
Martin
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Re: [Matplotlib-users] Is it possible to truncate axes in matplotlib?
Hi Mat, this has been asked before. see here: http://matplotlib.1069221.n5.nabble.com/quot-zig-zag-quot-to-represent-suppressed-0-on-axis-td40849.html#a40858 cheers, Chao On Mon, May 20, 2013 at 8:29 PM, mat [via matplotlib] ml-node+s1069221n41092...@n5.nabble.com wrote: Dear community, I would like to truncate the x axis of a plot, as in the attached figure: Is it possible to do so ? Best, Mat -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092.html To start a new topic under matplotlib - users, email ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click herehttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** 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: http://matplotlib.1069221.n5.nabble.com/Is-it-possible-to-truncate-axes-in-matplotlib-tp41092p41103.html Sent from the matplotlib - users mailing list archive at Nabble.com.-- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_may___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Basemap plotting data on projection
Dear Scott,
I am sorry for giving no reply. Thanks for your answer. I tried it and it
works fine.
best ,
Chao
On Tue, Apr 30, 2013 at 1:21 PM, Scott Sinclair-4 [via matplotlib]
ml-node+s1069221n40977...@n5.nabble.com wrote:
Forgot to send to the list sigh
-- Forwarded message --
From: Scott Sinclair [hidden
email]http://user/SendEmail.jtp?type=nodenode=40977i=0
Date: 30 April 2013 13:20
Subject: Re: [Matplotlib-users] Basemap plotting data on projection
To: ChaoYue [hidden
email]http://user/SendEmail.jtp?type=nodenode=40977i=1
On 29 April 2013 23:32, ChaoYue [hidden
email]http://user/SendEmail.jtp?type=nodenode=40977i=2
wrote:
pdata = np.genfromtxt('pdata.txt')
pdata = np.ma.masked_greater(pdata,1E20)
lonm,latm=m.makegrid(pdata.shape[1],pdata.shape[0])
The problem is here ^^^
The data don't lie on an equally spaced grid in the Mercator
projection, so it doesn't make sense to ask for the lat/lon
coordinates of a grid that is equally spaced in this projection. You
need to determine the *actual* lat/lon coordinates before projecting
them onto the Mercator map and plotting...
Something like this should work (If you can assume that the data are
on an equally spaced grid in Equidistant Cyl projection having the
boundaries specified):
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
# Set up the Equidistant Cyl projection to determine data locations.
pdata = np.genfromtxt('pdata.txt')
pdata = np.ma.masked_greater(pdata, 1E20)
ny, nx = pdata.shape
cyl_basemap = Basemap(projection='cyl', llcrnrlat=9, urcrnrlat=54.5,
llcrnrlon=74, urcrnrlon=142, lat_ts=20,
resolution='l')
lon, lat = cyl_basemap.makegrid(nx, ny)
# Set up the Mercator projection for plotting.
m = Basemap(projection='merc', llcrnrlat=9, urcrnrlat=54.5,\
llcrnrlon=74, urcrnrlon=142, lat_ts=20, resolution='l')
m.drawcountries()
m.drawcoastlines()
m.drawmapboundary(fill_color='white')
m.drawrivers()
x, y = m(lon, np.flipud(lat))
cs = m.contourf(x, y, pdata)
m.colorbar(cs)
plt.show()
Cheers,
Scott
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Re: [Matplotlib-users] Basemap plotting data on projection
Hi all,
Indeed it's a bit strange, I can reproduce the problem. But when using
'cyl' projection I don't have this issue.
attahced two figures showed the difference.
the tested data is also attached.
complete code is below:
from mpl_toolkits.basemap import Basemap, cm, maskoceans
import matplotlib.pyplot as plt
# set up the Mercator projection
m = Basemap(projection='merc',llcrnrlat=9,urcrnrlat=54.5,\
llcrnrlon=74,urcrnrlon=142,lat_ts=20,resolution='l')
m.drawcountries()
m.drawcoastlines()
m.drawmapboundary(fill_color='aqua')
m.drawrivers()
pdata = np.genfromtxt('pdata.txt')
pdata = np.ma.masked_greater(pdata,1E20)
lonm,latm=m.makegrid(pdata.shape[1],pdata.shape[0])
latm=np.flipud(latm)
lonpro,latpro=m(lonm,latm)
cs = m.contourf(lonpro,latpro,pdata)
m.colorbar(cs)
cheers,
Chao
On Mon, Apr 29, 2013 at 12:53 PM, Ann [via matplotlib]
ml-node+s1069221n40973...@n5.nabble.com wrote:
Dear All,
I am encountering the following problem:
I have some data which I want to plot on a map. Unfortunately, I do not
manage to plot the data according to the shape of the projection! What it
appears to do is to simply plot the data on top of the projection without
taking the actual position (latitude and longitude) into account. However,
this is crucial for my analysis.
Could anybody spot the mistake in my code?
Any suggestion would be of great help!!
THANKS
from mpl_toolkits.basemap import Basemap, cm, maskoceans
import matplotlib.pyplot as plt
# set up the Mercator projection
m = Basemap(projection='merc',llcrnrlat=9,urcrnrlat=54.5,\
llcrnrlon=74,urcrnrlon=142,lat_ts=20,resolution='l')
m.drawcountries()
m.drawcoastlines()
m.drawmapboundary(fill_color='aqua')
m.drawrivers()
parallels = N.arange(0.,81,10.)
labels = [left,right,top,bottom]
m.drawparallels(parallels,labels=[1,0,0,0])
meridians = N.arange(10.,351.,20.)
m.drawmeridians(meridians,labels=[0,0,0,1])
ny=resmat.shape[0] # resmat is the matrix containing the data which I want
o plot.
nx=resmat.shape[1]
#get lat/lons of ny by nx evenly space grid
lons, lats =m.makegrid(nx, ny)
# compute map projection coordinates
x, y= m(lons, lats)
maskdata = maskoceans(lons, lats, resmat, inlands= True, resolution = 'l')
cs = m.contourf(x,y,maskdata,150,cmap=cm.GMT_no_green_r)
plt.show()
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pdata.txt (413K)
http://matplotlib.1069221.n5.nabble.com/attachment/40975/0/pdata.txt
cyl.jpg (540K)
http://matplotlib.1069221.n5.nabble.com/attachment/40975/1/cyl.jpg
merc.jpg (435K)
http://matplotlib.1069221.n5.nabble.com/attachment/40975/2/merc.jpg
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Re: [Matplotlib-users] basemap scatter
I'm afraid the scatter plot does not allow afterward adjustment with size currently (by using setp). Probably you should redraw the scatter points with different sizes. like for x,y,z in zip(xlist,ylist,sizelist): m.scatter(x,y,s=z) if you question is to change the real 2km or 1.5km to the size on the map, sorry I don't know as I never did this. Probably you need consider projection. Chao On Fri, Apr 12, 2013 at 4:33 PM, marz_cyclone [via matplotlib] ml-node+s1069221n40883...@n5.nabble.com wrote: Hi all, I'm trying to do a scatter plot within a map created by basemap. m = Basemap(projection='ortho',lat_0=45,lon_0=0,resolution='l') X,Y = m(lon,lat) m.scatter(X,Y,s=sizes,c=data,edgecolor='none') This works fine. Now I want to change the sizes of the markers so that the marker at point A has a size that corresponds to circle with radius of 2.5 km, point B to 1.5 km, and so on. Has anyone ever done this? Thanks in advance. Mario Mech -- Precog is a next-generation analytics platform capable of advanced analytics on semi-structured data. The platform includes APIs for building apps and a phenomenal toolset for data science. Developers can use our toolset for easy data analysis visualization. Get a free account! http://www2.precog.com/precogplatform/slashdotnewsletter ___ Matplotlib-users mailing list [hidden email] http://user/SendEmail.jtp?type=nodenode=40883i=0 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/basemap-scatter-tp40883.html To start a new topic under matplotlib - users, email ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click herehttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** 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: http://matplotlib.1069221.n5.nabble.com/basemap-scatter-tp40883p40884.html Sent from the matplotlib - users mailing list archive at Nabble.com.-- Precog is a next-generation analytics platform capable of advanced analytics on semi-structured data. The platform includes APIs for building apps and a phenomenal toolset for data science. Developers can use our toolset for easy data analysis visualization. Get a free account! http://www2.precog.com/precogplatform/slashdotnewsletter___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] zig-zag to represent suppressed 0 on axis?
Hi Kevin, I don't check the link you provided very carefully. So I guess you already find a solution. otherwise I have done something similar before and have made a bit general function to do the job, which I think might be helpful for you. You can check the following three functions at https://github.com/ChaoYue/pylsce/blob/master/g.py Calc_Newaxes_Fraction Axes_Replace_Split_Axes Axes_Set_Breakaxis a working example is below: fig,axs = plt.subplots(nrows=2) bottom_ax, top_ax = g.Axes_Replace_Split_Axes(fig,axs[0],split_fraction=[0.36,0.04,0.6],direction='v') g.Axes_Set_Breakaxis(bottom_ax, top_ax, 0.01,0.03,'v') left_ax, right_ax = g.Axes_Replace_Split_Axes(fig,axs[1],split_fraction=[0.38,0.02,0.6],direction='h') g.Axes_Set_Breakaxis(left_ax, right_ax, 0.03,0.02,'h') the figure is as attached. cheers, chao On Mon, Apr 8, 2013 at 9:05 PM, Kevin Hunter [via matplotlib] ml-node+s1069221n40857...@n5.nabble.com wrote: At 4:20pm -0400 Sun, 07 Apr 2013, Francesco Montesano wrote: Il giorno 07/apr/2013 21:03, Kevin Hunter Kesling ha scritto: On the other hand, I'm still such a noob at Matplotlib ... is there a way to have one of the subplots take up more than its default 50% allotment? you can give a look at the last two plots in this example http://matplotlib.org/examples/pylab_examples/demo_tight_layout.html or use plot.axes providing the rectangle that you want That is closer to what I want, but still not there. I was finally able to find something that fit the bill to 95% of what I want: http://matplotlib.1069221.n5.nabble.com/Proposal-for-Broken-Axes-td38050.html The first post by 'klukas' does exactly what I asked for. It's a zig-zag on the Y-axis to show that what is graphed is not continuous, and unlike the various official examples, the zig-zag placement is user-specifiable, as opposed to exactly halfway between the top and bottom. The only thing I have yet to figure out how to do is to simultaneously have a zig-zag on the X axis as well -- an artifact of how these zig-zags must be created via multiple axes on the same figure, rather than as built in to the axis artist. For googleability: The above linked graph code enables for matplotlib: - suppressed zeros on the Y-axis of an XY plot - showing suppressed data on the Y-axis - lightning bolt symbol on the Y-axis - zig-zag on the Y-axis - a broken Y-axis Thanks for your pointers, Francesco, as they helped me to fine-tune my Google search terms. And thank you, Klukas, whoever you are. Cheers, Kevin -- Minimize network downtime and maximize team effectiveness. Reduce network management and security costs.Learn how to hire the most talented Cisco Certified professionals. Visit the Employer Resources Portal http://www.cisco.com/web/learning/employer_resources/index.html ___ Matplotlib-users mailing list [hidden email] http://user/SendEmail.jtp?type=nodenode=40857i=0 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/zig-zag-to-represent-suppressed-0-on-axis-tp40849p40857.html To start a new topic under matplotlib - users, email ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click herehttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** 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 break_axis.jpg (182K) http://matplotlib.1069221.n5.nabble.com/attachment/40858/0/break_axis.jpg -- View this message in context: http://matplotlib.1069221.n5.nabble.com/zig-zag-to-represent-suppressed-0-on-axis-tp40849p40858.html Sent from the matplotlib - users mailing list archive at Nabble.com.-- Minimize network downtime and maximize team effectiveness. Reduce network management and security costs.Learn how to hire the most talented Cisco Certified professionals. Visit the Employer Resources Portal http
Re: [Matplotlib-users] set limits not obeyed for stacked plots when set_aspect('equal') used
Agree with Eric. I guess if you remove sharex=True, it will work.
Chao
On Wed, Mar 20, 2013 at 10:27 PM, Eric Firing [via matplotlib]
ml-node+s1069221n40690...@n5.nabble.com wrote:
On 2013/03/20 8:57 AM, Jonathan Slavin wrote:
Hi all,
I've run across a minor but annoying bug. It can be demonstrated pretty
simply:
fig, ax = plt.subplots(2,1,sharex=True,figsize=(7.,7.))
fig.subplots_adjust(hspace=0.0)
x = 4.25*(np.arange(6.) - 2.5)/10.
y = 0.6*x/max(x)
ax[0].plot(x,y)
ax[0].set_xlim(-1.2,1.2)
ax[0].set_aspect('equal')
ax[1].plot(x,y)
ax[0].set_ylim(-0.6,0.6)
ax[1].set_ylim(-0.6,0.6)
ax[1].set_aspect('equal')
plt.show()
The problem is that the y limits on the two plots are slightly different
from those set:
I think the problem is that you are trying to specify too many things:
you are specifying the box dimensions when you make the axes, then you
are specifying xlim, and then you are specifying ylim, but then you are
asking for a 1:1 aspect ratio. Something has to give! The aspect ratio
handling is designed to provide the specified aspect ratio under a wide
range of circumstances, including zooming and panning, and to do that,
it has to be able to change something. You can choose to let the box
dimensions be changeable, or the data limits.
If you want to fix the data limits, then you have to make the box
adjustable. This can cause problems with shared axes, but you can try
it with ax[0].set_aspect('equal', adjustable='box-forced').
Eric
ax[1].get_ylim()
(-0.61935483870967734, 0.61935483870967734)
and doing a set_ylim doesn't have any effect. This seems to be caused
by the set_aspect('equal'), since removing it results in plots with the
correct limits -- but aspect that is not quite equal. It is affected by
the figsize parameter in the call to subplots. It seems I can get the
correct y limits and aspect if I keep the set_aspect('equal') and fiddle
with the figsize. But that certainly doesn't seem to be a desirable
behavior. Ideally, the set_ylim (or set_xlim) would be respected as
well as the apect ratio and extra blank space around the figure would be
added as needed to fit the figsize.
By the way, using no figsize argument to subplots results in y limits
even smaller than the data limits. Also, this problem does not occur
for single (non-stacked) plots and the use of subplots_adjust also does
not seem to affect the problem. I'm using matplotlib 1.2.0
I did notice that this issue is similar to that discussed in this
thread:
http://www.mail-archive.com/matplotlib-users@.../msg05783.htmlhttp://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg05783.html
Regards,
Jon
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Re: [Matplotlib-users] ticklabels
it also works for me for 1.2.0
In [1]: mat.__version__
Out[1]: '1.2.0'
In [2]: plot(np.arange(5),'ro')
Out[2]: [matplotlib.lines.Line2D at 0xc88262c]
In [3]: ax = gca()
In [4]: ax.set_xticklabels('abcdefghij')
Out[4]:
[matplotlib.text.Text at 0xbbb048c,
matplotlib.text.Text at 0xbbb0c8c,
matplotlib.text.Text at 0xc88780c,
matplotlib.text.Text at 0xc887e2c,
matplotlib.text.Text at 0xc88b4cc,
matplotlib.text.Text at 0xc88bb4c,
matplotlib.text.Text at 0xc8911ec,
matplotlib.text.Text at 0xc89186c,
matplotlib.text.Text at 0xc891eec]
In [5]: [t.get_text() for t in ax.get_xticklabels()]
Out[5]: ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i']
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Re: [Matplotlib-users] Multiple XY plots
Hi, could you use a loop to solve it? arr1list = [np.arange(10) + i for i in range(10)] arr2list = [np.arange(10) -i for i in range(10)] for arr1,arr2 in zip(arr1list,arr2list): plot(arr1,arr2) you can use a more object oriented way: fig = plt.figure() ax = fig.add_subplot() for arr1,arr2 in zip(arr1list,arr2list): ax.plot(arr1,arr2) code not tested. cheers, Chao On Thu, Feb 21, 2013 at 4:17 AM, lkz2366 [via matplotlib] ml-node+s1069221n40451...@n5.nabble.com wrote: I am confused on how to plot a variable number of XY plots on a single chart. I want to superimpose XY plots on a single chart but the number of plots is unknown until runtime. For example, if I want to plot 4 plots the code would be: figure() plot(x1,y1,x2,y2,x3,y3,x4,y4) show() But the number of plots is variable and could be anywhere from 5-30. Any ideas on how I can do this? I already have the rest of my program working. The program reads all of the data from all of the files in a target directory and writes the data to X and Y lists. Thanks for any help. -- If you reply to this email, your message will be added to the discussion below: http://matplotlib.1069221.n5.nabble.com/Multiple-XY-plots-tp40451.html To start a new topic under matplotlib - users, email ml-node+s1069221n...@n5.nabble.com To unsubscribe from matplotlib, click herehttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_codenode=2code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx . NAMLhttp://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewerid=instant_html%21nabble%3Aemail.namlbase=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespacebreadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml -- *** 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: http://matplotlib.1069221.n5.nabble.com/Multiple-XY-plots-tp40451p40453.html Sent from the matplotlib - users mailing list archive at Nabble.com.-- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_feb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] open circles aren't showing up in the legend box
I doubt there is a color called 'face', according to documentation: In [2]: setp(mat.collections.PathCollection,'edgecolor') edgecolor: matplotlib color arg or sequence of rgba tuples probably because matplotlib doesn't know how rend the color 'face'? Chao -- View this message in context: http://matplotlib.1069221.n5.nabble.com/open-circles-aren-t-showing-up-in-the-legend-box-tp40136p40138.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnmore_122712 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to put colorbar label beside the handle?
Hi, rather than the previous manual definition of the text postioins, I find a more general/decent way: yloc=(cbar.values-cbar.boundaries[0])/(cbar.boundaries[-1]-cbar.boundaries[0]) for l,y in zip(cbar_label,yloc): cbar.ax.text(1,y,l,transform=cbar.ax.transAxes,ha='left',va='center') Chao -- View this message in context: http://matplotlib.1069221.n5.nabble.com/how-to-put-colorbar-label-beside-the-handle-tp39705p39941.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to put colorbar label beside the handle?
I have a bit progress, but still not very well.
#to have a contourf plot
a = np.arange(100).reshape(10,10)
cbarlevel=np.arange(0,101,10)
contourf(a,levels=cbarlevel)
cbar = colorbar()
cbar.set_ticks(cbarlevel)
#to manipulate the range:
cbar_label = []
for i in range(len(cbarlevel)-1):
cbar_label.append({0}-{1}.format(cbarlevel[i],cbarlevel[i+1]))
cbar_label.append('')
In [54]: print cbar_label
['0-10', '10-20', '20-30', '30-40', '40-50', '50-60', '60-70', '70-80',
'80-90', '90-100', '']
#Then to apply on the colorbar:
cbar.set_ticklabels(cbar_label)
The generated figure is attached. But how can I put the labels a little bit
upward to make them parallel with the respective small rectangles in the
colorbar? http://matplotlib.1069221.n5.nabble.com/file/n39786/fig.jpg
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Re: [Matplotlib-users] colormap shift
Hi, I once was indicated a way to extract colors from exsiting colormaps: I just answered a question on Stackoverflow and maybe you can have a look. all code in pylab mode a = np.arange(100).reshape(10,10) #here is the image with white and black end imshow(a,cmap=mat.cm.binary) colorbar() #we extract only the 0.2--0.7 part of original colormap and make a new one #so that the white and black end are removed rgba_array = mat.cm.binary(np.linspace(0,1,num=10,endpoint=True)) extract_rgba_array_255 = rgba_array[2:8,0:3] imshow(a,cmap=mat.colors.ListedColormap(extract_rgba_array_255)) colorbar() cheers, Chao -- View this message in context: http://matplotlib.1069221.n5.nabble.com/colormap-shift-tp39660p39707.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
