Re: [Matplotlib-users] ValueError
On Friday July 9 2010 00:06:05 Shir J. Livne wrote: Hello, I keep getting the error ValueError: Need more than 1 value to unpack every time I try to use the line ax.plot_wireframe(myArray[:,0], myArray[:,1], myArray[:,2]) What does that error mean? Hi Shir, I think you used 1d-arrays for myArray[:, i] and the plot_wireframe method expects 2d-arrays for x, y and z, respectively. Inside the plot_wireframe method the shape of Z is transformed into number of rows and columns: rows, cols = Z.shape and that is the point where you get the ValueError, because Z.shape is only one element. You may also want to look at the examples: http://matplotlib.sourceforge.net/examples/mplot3d/wire3d_animation_demo.html http://matplotlib.sourceforge.net/examples/mplot3d/wire3d_demo.html If this doesn't help, it would be useful if you would set up a small stand- alone example illustrating your problem with some simple data with the shape of myArray. Kind regards, Matthias -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to plot the empirical cdf of an array?
On Friday July 9 2010 06:02:58 per freem wrote: How can I plot the empirical CDF of an array of numbers in matplotlib in Python? I'm looking for the cdf analog of pylab's hist function. One thing I can think of is: from scipy.stats import cumfreq a = array([...]) # my array of numbers num_bins = 20 b = cumfreq(a, num_bins) plt.plot(b) Is that correct though? Is there an easier/better way? Hi, I would use pyplot.hist to produce a histogram with a bar for each bin. By use of the keyword argument 'cumulative' you can select cumulative frequency distribution instead of density. Kind regards, Matthias -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] problem importing pyplot/pylab on mac os x 10.4.11
On Fri, Jul 9, 2010 at 7:25 AM, Karianne Holhjem karia...@astro.uni-bonn.de wrote: Regarding numpy - what you say is intersting. I couldn't find any such problems in my google-searches. I am running version 1.2.1: [karianneholhjem:/] karianne% python -c 'import numpy; print numpy.__version__' 1.2.1 Can you try upgrading numpy to the latest released version? This is likely your problem. I would rm -rf the old numpy in your site-packages directory and upgrade to 1.4.1 https://sourceforge.net/projects/numpy/files/NumPy/1.4.1/numpy-1.4.1-py2.5-python.org.dmg/download Are you using python.org python or Apple python -- it appears the installer above is for python.org python JDH -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to plot the empirical cdf of an array?
On 7/9/2010 12:02 AM, per freem wrote: How can I plot the empirical CDF of an array of numbers in matplotlib in Python? I recalled David Huard posted the below, which apparently was once in the sandbox... hth, Alan Isaac def empiricalcdf(data, method='Hazen'): Return the empirical cdf. Methods available (here i goes from 1 to N) Hazen: (i-0.5)/N Weibull: i/(N+1) Chegodayev: (i-.3)/(N+.4) Cunnane: (i-.4)/(N+.2) Gringorten: (i-.44)/(N+.12) California: (i-1)/N :see: http://svn.scipy.org/svn/scipy/trunk/scipy/sandbox/dhuard/stats.py :author: David Huard i = np.argsort(np.argsort(data)) + 1. nobs = len(data) method = method.lower() if method == 'hazen': cdf = (i-0.5)/nobs elif method == 'weibull': cdf = i/(nobs+1.) elif method == 'california': cdf = (i-1.)/nobs elif method == 'chegodayev': cdf = (i-.3)/(nobs+.4) elif method == 'cunnane': cdf = (i-.4)/(nobs+.2) elif method == 'gringorten': cdf = (i-.44)/(nobs+.12) else: raise 'Unknown method. Choose among Weibull, Hazen, Chegodayev, Cunnane, Gringorten and California.' return cdf -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] anumated plot with autscaling axises
Good day! Could You please tell me how can I get axises autoscaling in the animated plot example. I've take an example and have modifyed it slightly so the second line in plot gets out of bounding box during animation. What I need is autoscaling of axises during animation. Please point mee what I have to do. Thanks a lot! Hereafter a modifyed example: # For detailed comments on animation and the techniqes used here, see # the wiki entry http://www.scipy.org/Cookbook/Matplotlib/Animations import sys from matplotlib.figure import Figure from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas from PyQt4 import QtGui ITERS = 100 import numpy as np import time class BlitQT(FigureCanvas): def __init__(self): FigureCanvas.__init__(self, Figure()) self.ax = self.figure.add_subplot(111) self.ax.grid() self.draw() self.old_size = self.ax.bbox.width, self.ax.bbox.height self.ax_background = self.copy_from_bbox(self.ax.bbox) self.cnt = 0 self.x = np.arange(0,2*np.pi,0.01) self.sin_line, = self.ax.plot(self.x, np.sin(self.x), animated=True) self.cos_line, = self.ax.plot(self.x, np.cos(self.x), animated=True) self.draw() self.tstart = time.time() self.startTimer(10) def timerEvent(self, evt): current_size = self.ax.bbox.width, self.ax.bbox.height if self.old_size != current_size: self.old_size = current_size self.ax.clear() self.ax.grid() self.draw() self.ax_background = self.copy_from_bbox(self.ax.bbox) self.restore_region(self.ax_background, bbox=self.ax.bbox) # update the data self.sin_line.set_ydata(np.sin(self.x+self.cnt/10.0)) self.cos_line.set_ydata((self.x+self.cnt)/50.0) # just draw the animated artist self.ax.draw_artist(self.sin_line) self.ax.draw_artist(self.cos_line) # just redraw the axes rectangle self.blit(self.ax.bbox) if self.cnt == 0: # TODO: this shouldn't be necessary, but if it is excluded the # canvas outside the axes is not initially painted. self.draw() if self.cnt==ITERS: # print the timing info and quit print 'FPS:' , ITERS/(time.time()-self.tstart) sys.exit() else: self.cnt += 1 app = QtGui.QApplication(sys.argv) widget = BlitQT() widget.show() sys.exit(app.exec_()) -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to plot the empirical cdf of an array?
I'd like to clarify: I want the empirical cdf, but I want it to be normalized. There's a normed=True option to plt.hist but how can I do the equivalent for CDFs? On Fri, Jul 9, 2010 at 9:14 AM, Alan G Isaac alan.is...@gmail.com wrote: On 7/9/2010 12:02 AM, per freem wrote: How can I plot the empirical CDF of an array of numbers in matplotlib in Python? I recalled David Huard posted the below, which apparently was once in the sandbox... hth, Alan Isaac def empiricalcdf(data, method='Hazen'): Return the empirical cdf. Methods available (here i goes from 1 to N) Hazen: (i-0.5)/N Weibull: i/(N+1) Chegodayev: (i-.3)/(N+.4) Cunnane: (i-.4)/(N+.2) Gringorten: (i-.44)/(N+.12) California: (i-1)/N :see: http://svn.scipy.org/svn/scipy/trunk/scipy/sandbox/dhuard/stats.py :author: David Huard i = np.argsort(np.argsort(data)) + 1. nobs = len(data) method = method.lower() if method == 'hazen': cdf = (i-0.5)/nobs elif method == 'weibull': cdf = i/(nobs+1.) elif method == 'california': cdf = (i-1.)/nobs elif method == 'chegodayev': cdf = (i-.3)/(nobs+.4) elif method == 'cunnane': cdf = (i-.4)/(nobs+.2) elif method == 'gringorten': cdf = (i-.44)/(nobs+.12) else: raise 'Unknown method. Choose among Weibull, Hazen, Chegodayev, Cunnane, Gringorten and California.' return cdf -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to plot the empirical cdf of an array?
On 7/9/10 10:02 AM, per freem wrote: I'd like to clarify: I want the empirical cdf, but I want it to be normalized. There's a normed=True option to plt.hist but how can I do the equivalent for CDFs? There is no such thing as a normalized empirical CDF. Or rather, there is no such thing as an unnormalized empirical CDF. Alan's code is good. Unless if you have a truly staggering number of points, there is no reason to bin the data first. -- Robert Kern I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth. -- Umberto Eco -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to plot the empirical cdf of an array?
How does Alan's code compare with using cumfreq and then plotting its result? Is the only difference that cumfreq bins the data? On Fri, Jul 9, 2010 at 10:12 AM, Robert Kern robert.k...@gmail.com wrote: On 7/9/10 10:02 AM, per freem wrote: I'd like to clarify: I want the empirical cdf, but I want it to be normalized. There's a normed=True option to plt.hist but how can I do the equivalent for CDFs? There is no such thing as a normalized empirical CDF. Or rather, there is no such thing as an unnormalized empirical CDF. Alan's code is good. Unless if you have a truly staggering number of points, there is no reason to bin the data first. -- Robert Kern I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth. -- Umberto Eco -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to plot the empirical cdf of an array?
Also, I am not sure how to use alan's code. If I try: ec = empirical_cdf(my_data) plt.plot(ec) it doesn't actually look like a cdf On Fri, Jul 9, 2010 at 10:17 AM, per freem perfr...@gmail.com wrote: How does Alan's code compare with using cumfreq and then plotting its result? Is the only difference that cumfreq bins the data? On Fri, Jul 9, 2010 at 10:12 AM, Robert Kern robert.k...@gmail.com wrote: On 7/9/10 10:02 AM, per freem wrote: I'd like to clarify: I want the empirical cdf, but I want it to be normalized. There's a normed=True option to plt.hist but how can I do the equivalent for CDFs? There is no such thing as a normalized empirical CDF. Or rather, there is no such thing as an unnormalized empirical CDF. Alan's code is good. Unless if you have a truly staggering number of points, there is no reason to bin the data first. -- Robert Kern I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth. -- Umberto Eco -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to plot the empirical cdf of an array?
On 7/9/10 10:31 AM, per freem wrote: Also, I am not sure how to use alan's code. If I try: ec = empirical_cdf(my_data) plt.plot(ec) it doesn't actually look like a cdf Make sure my_data is sorted first. plt.plot(my_data, ec) You probably want to use one of the steps linestyles; I'm not sure which one would be best. It probably doesn't matter much. -- Robert Kern I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth. -- Umberto Eco -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] update an existing contour plot with new data
On Fri, Jul 9, 2010 at 6:28 AM, Johannes Röhrs johanne...@met.no wrote: I have some troubles updating a contour plot. I reduced my code to a simple example to reproduce the problem: [code] from pylab * import scipy as sp x=sp.arange(0,2*sp.pi,0.1) X,Y=sp.meshgrid(x,x) f1=sp.sin(X)+sp.sin(Y) f2=sp.cos(X)+sp.cos(Y) figure() C=contourf(f1) show() C.set_array(f2) draw() [\code] What do I need to do to update an existing contour plot with new data? The set_array() method (I think) only impacts the colormapping information for contourf, and even then doesn't appear to update. What you need to do is make a new contour plot and remove the old one, especially if you need to change the underlying contoured data. This should be as easy as C.remove(), but for some reason, this doesn't exist (I'll go add it in a minute). So instead, you need to do the following: import matplotlib.pyplot as plt import numpy as np x = np.arange(0, 2 * np.pi, 0.1) X,Y = np.meshgrid(x,x) f1 = np.sin(X) + np.sin(Y) f2 = np.cos(X) + np.cos(Y) plt.figure() C = plt.contourf(f1) plt.show() for coll in C.collections: plt.gca().collections.remove(coll) C = plt.contourf(f2) plt.draw() Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] update an existing contour plot with new data
Thanks a lot, this solutions seems to serve my purpose. A new method C.remove() would of course be even better. One could say the problem is solved, but why does there no method exist to update a contour plot as there is for many other plot routines, i.e. set_xdata/set_ydata for plot set_data for imshow or set_UVC for quiver and so on. set_array should be the corresponding method for contour plots, and if type C.get_array() I actually get the data array that I used to plot the countours! My purpose of this is to animate the contour plot, and I did read somewhere that updating the plot is much faster/more efficient than deleting and recreating the plot. - Original Message - From: Ryan May rma...@gmail.com To: Johannes Röhrs johanne...@met.no Cc: matplotlib-users@lists.sourceforge.net Sent: Friday, 9 July, 2010 5:11:37 PM Subject: Re: [Matplotlib-users] update an existing contour plot with new data On Fri, Jul 9, 2010 at 6:28 AM, Johannes Röhrs johanne...@met.no wrote: I have some troubles updating a contour plot. I reduced my code to a simple example to reproduce the problem: [code] from pylab * import scipy as sp x=sp.arange(0,2*sp.pi,0.1) X,Y=sp.meshgrid(x,x) f1=sp.sin(X)+sp.sin(Y) f2=sp.cos(X)+sp.cos(Y) figure() C=contourf(f1) show() C.set_array(f2) draw() [\code] What do I need to do to update an existing contour plot with new data? The set_array() method (I think) only impacts the colormapping information for contourf, and even then doesn't appear to update. What you need to do is make a new contour plot and remove the old one, especially if you need to change the underlying contoured data. This should be as easy as C.remove(), but for some reason, this doesn't exist (I'll go add it in a minute). So instead, you need to do the following: import matplotlib.pyplot as plt import numpy as np x = np.arange(0, 2 * np.pi, 0.1) X,Y = np.meshgrid(x,x) f1 = np.sin(X) + np.sin(Y) f2 = np.cos(X) + np.cos(Y) plt.figure() C = plt.contourf(f1) plt.show() for coll in C.collections: plt.gca().collections.remove(coll) C = plt.contourf(f2) plt.draw() Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] update an existing contour plot with new data
On Fri, Jul 9, 2010 at 10:49 AM, Johannes Röhrs johanne...@met.no wrote: Thanks a lot, this solutions seems to serve my purpose. A new method C.remove() would of course be even better. One could say the problem is solved, but why does there no method exist to update a contour plot as there is for many other plot routines, i.e. set_xdata/set_ydata for plot set_data for imshow or set_UVC for quiver and so on. set_array should be the corresponding method for contour plots, and if type C.get_array() I actually get the data array that I used to plot the countours! My purpose of this is to animate the contour plot, and I did read somewhere that updating the plot is much faster/more efficient than deleting and recreating the plot. This is the case when setting up the initial book-keeping is a significant portion of the time to make the plot. In this case, most of the work is in generating the contours, so I don't think you'd get much savings. (Granted, I haven't tried to verify these assumptions.) Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Problems with pygtk and matplotlib
Hi I'm trying to plot several subplots. I have setup a scrollwidget and viewport and I pack a canvas into a vbox in the viewport. Problem is that when I scroll, either some of the subplots are missing, or I get an error when I try to zoom on a graph that argument is not a gdk.gtk.image (or something like that) but None. I thought this was fixed in 1.0, but it isn't Please advice! Thanks in advance. Preben -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] No color scaling when using plot_surface. Please help
On Thu, Jul 8, 2010 at 8:41 AM, Jeremy Conlin jlcon...@gmail.com wrote: On Sun, Jul 4, 2010 at 8:38 PM, Benjamin Root ben.r...@ou.edu wrote: Jeremy, The pcolor function can take a vmin and a vmax parameter if you wish to control the colorscaling. In addition, you can use a special array structure called a masked array to have pcolor ignore special values. Assuming your data is 'vals': vals_masked = numpy.ma.masked_array(vals, vals == 0.0) Note that depending on your situation, doing an equality with with a floating point value probably isn't very reliable, so be sure to test and modify to suit your needs. 'vals_masked' can then be passed to pcolor instead of vals. Yes, I think this is exactly what I need. Thanks! To follow up with my response, I tried the above and it works nicely with pyplot.pcolor. I would like to get a 3D version of this, like I get using Axes3D.plot_surface. Is this just not implemented yet? I am using 0.99.1.1. Has this been implemented in matplotlib 1.0? Thanks, Jeremy -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problems with pygtk and matplotlib
On Fri, Jul 9, 2010 at 3:10 PM, Preben Randhol rand...@pvv.org wrote: Hi I'm trying to plot several subplots. I have setup a scrollwidget and viewport and I pack a canvas into a vbox in the viewport. Problem is that when I scroll, either some of the subplots are missing, or I get an error when I try to zoom on a graph that argument is not a gdk.gtk.image (or something like that) but None. I thought this was fixed in 1.0, but it isn't Please advice! Does this example work for you? http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_gtk3.html It uses a ScrolledWindow. Also, are you using backend_gtk or backend_gtkagg (and does it matter for your problem?) If you could create a minimal example starting with embedding_in_gtk3.py that replicates your problem, we're more likely to be able to help. JDH -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] No color scaling when using plot_surface. Please help
Jeremy, I believe that 0.99.1 is fairly old. I don't know when Axes3D came along, but I am sure you can find it in 0.99.3. It is most definitely in 1.0, but you might not need to go that far if your distro does not provide it. Ben Root On Fri, Jul 9, 2010 at 4:50 PM, Jeremy Conlin jlcon...@gmail.com wrote: On Thu, Jul 8, 2010 at 8:41 AM, Jeremy Conlin jlcon...@gmail.com wrote: On Sun, Jul 4, 2010 at 8:38 PM, Benjamin Root ben.r...@ou.edu wrote: Jeremy, The pcolor function can take a vmin and a vmax parameter if you wish to control the colorscaling. In addition, you can use a special array structure called a masked array to have pcolor ignore special values. Assuming your data is 'vals': vals_masked = numpy.ma.masked_array(vals, vals == 0.0) Note that depending on your situation, doing an equality with with a floating point value probably isn't very reliable, so be sure to test and modify to suit your needs. 'vals_masked' can then be passed to pcolor instead of vals. Yes, I think this is exactly what I need. Thanks! To follow up with my response, I tried the above and it works nicely with pyplot.pcolor. I would like to get a 3D version of this, like I get using Axes3D.plot_surface. Is this just not implemented yet? I am using 0.99.1.1. Has this been implemented in matplotlib 1.0? Thanks, Jeremy -- This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] interactive plots in ipython -pylab are delayed until ipython prompt
I have successfully used ipython -pylab under w32 python, but under the
builtin ipython under ubuntu 9 and 10, the graphics display thread seems to
block until the ipython command line - as if the threading (internal to
ipython etc) is not happening.
For example if the following is pasted in, the plot appears after 2 seconds,
instead of straight away, as it used to in w32 python 2.6, (and I think, but
am not sure, in earlier linux pythons). The reason I want this feature is
to show intermediate
results of long computations, without blocking, as would happen in straight
python or ipython. See version numbers at end.
import time
# Note - this version is meant to be pasted!
print('When pasted in to ipython -pylab, the plot should appear immediately,
'
' then the ipython prompt after sleep(2): but the plot waits until the
prompt!')
plot([3,4], hold=0)
ion()
show()
time.sleep(2)
Python 2.6.5 (r265:79063, Apr 16 2010, 13:09:56)
IPython 0.10
matplotlib.__version__ Out[3]: '0.99.1.1'
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Re: [Matplotlib-users] interactive plots in ipython -pylab are delayed until ipython prompt
On Fri, Jul 9, 2010 at 9:52 PM, bdb112 boyd.blackw...@anu.edu.au wrote:
python or ipython. See version numbers at end.
import time
# Note - this version is meant to be pasted!
print('When pasted in to ipython -pylab, the plot should appear immediately,
'
' then the ipython prompt after sleep(2): but the plot waits until the
prompt!')
plot([3,4], hold=0)
ion()
show()
time.sleep(2)
Python 2.6.5 (r265:79063, Apr 16 2010, 13:09:56)
IPython 0.10
matplotlib.__version__ Out[3]: '0.99.1.1
Any chance you can test this with the latest release 1.0.0?
JDH
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