Re: [Matplotlib-users] Squashed axes with AxesGrid
Matthias,
It's clear to me why apect='equal' doesn't work for you. That option
means to give the axes equal scaling -- i.e., the ratio of length in
axis units to length in the plot is the same for both axes, so that an
axis that goes from 0 to 1 will be twice as long as one that goes from 0
to 0.5. What is quite unclear to me is why aspect=2 should give a
result like it does. You can get the right image, though wrong tick
labeling, if you omit the extent argument to imshow.
Jon
On Thu, 2013-05-16 at 12:43 -0700, Matthias Flor wrote:
Hi all,
it seems that I am experiencing the same problem here with imshow (rather
than scatter) and AxesGrid. But calling imshow with aspect=False does not do
the trick for me.
I am trying to have two imshow subplots next to each other and a single
colorbar at the right. The data underlying the imshow's have different x-
and y-ranges but I want the x- and y-axis to have an aspect ratio of 1 (i.e.
each imshow should produce a square). I've tried aspect=False,
aspect='equal', and explicitely setting aspect=2 which should be the correct
value. See the three images below the code example.
I've also tried Grid instead of AxesGrid as suggested but I didn't manage to
achieve good results with the colorbar in that case.
I'd appreciate any help,
Matthias
Here's a more or less minimal code example:
#
import numpy as np
import numpy.random as npr
from scipy.interpolate import griddata
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import AxesGrid
fig = figure(1, figsize=[12,10])
grid = AxesGrid(fig, 111,
nrows_ncols = (1, 2),
axes_pad = 0.2,
share_all = False,
label_mode = 'L',
cbar_location = 'right',
cbar_mode = 'single',
cbar_pad = 0.2
)
for i in range(2):
xmin, xmax = 0., 1.
ymin, ymax = 0., 0.5
zmin, zmax = -1., 1.
# generate random data:
N = 100
X = xmin + (xmax-xmin)*npr.random((N,)) # x_i in [0, 1]
Y = ymin + (ymax-ymin)*npr.random((N,)) # y_i in [0, 0.5]
Z = zmin + (zmax-zmin)*npr.random((N,)) # z_i in [-1, 1]
# generate griddata for imshow plot:
numspaces = np.sqrt(N)
xi = linspace(xmin, xmax, numspaces)
yi = linspace(ymin, ymax, numspaces)
zi = griddata((X, Y), Z, (xi[None,:], yi[:,None]), method='nearest')
norm = matplotlib.colors.normalize(vmin=zmin, vmax=zmax)
ax = grid[i]
im = ax.imshow(zi,
extent = [xmin,xmax,ymin,ymax],
norm = norm,
vmin = zmin,
vmax = zmax,
origin = 'lower',
aspect = 'equal', # or False, or 'auto', or 2, or ...
interpolation = 'nearest')
ax.grid(False)
ax.set_xlabel('x')
ax.set_ylabel('y')
# add a colorbar:
cbar = plt.colorbar(im, cax=grid.cbar_axes[0])
cbar.ax.set_ylabel('color level')
And here are the three resulting images:
aspect='equal':
http://matplotlib.1069221.n5.nabble.com/file/n41075/equal.png
aspect=False:
http://matplotlib.1069221.n5.nabble.com/file/n41075/False.png
aspect=2.:
http://matplotlib.1069221.n5.nabble.com/file/n41075/two.png
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Re: [Matplotlib-users] Squashed axes with AxesGrid
Thanks for the comment, Jonathan.
Yeah, I did not expect aspect='equal' to work but I tried it anyway ;-)
Removing the extent argument indeed produces a very nice output but I have
not tried yet to also get the tick labels right. Instead, I have now
reverted back to matplotlib.pylab's subplots method and an extra axes for
the colorbar (see code below just in case somebody else can use that). With
some fiddling with spacing it looks ok now. It's just a mess to produce
differently sized figures but I probably won't need to do that.
Best, Matthias
http://matplotlib.1069221.n5.nabble.com/file/n41080/2imshow%2B1colorbar.png
###
import numpy as np
import numpy.random as npr
from scipy.interpolate import griddata
import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=[12,5])
for ax in axes:
xmin, xmax = 0., 1.
ymin, ymax = 0., 0.5
zmin, zmax = -1., 1.
# create random data:
N = 100
X = xmin + (xmax-xmin)*npr.random((N,)) # x_i in [0, 1]
Y = ymin + (ymax-ymin)*npr.random((N,)) # y_i in [0, 0.5]
Z = zmin + (zmax-zmin)*npr.random((N,)) # z_i in [-1, 1]
# generate griddata for contour plot:
numspaces = np.sqrt(N)
xi = linspace(xmin, xmax, numspaces)
yi = linspace(ymin, ymax, numspaces)
zi = griddata((X, Y), Z, (xi[None,:], yi[:,None]), method='nearest')
norm = matplotlib.colors.normalize(vmin=zmin, vmax=zmax)
im = ax.imshow(zi,
extent = [xmin,xmax,ymin,ymax],
norm = norm,
vmin = zmin,
vmax = zmax,
origin = 'lower',
aspect = 2.,
interpolation = 'nearest')
ax.grid(False)
ax.set_xlabel('x')
ax.set_ylabel('y')
# add a colorbar:
fig.subplots_adjust(left=0.05, bottom=0.2, right=0.8, top=0.95, wspace=0.2,
hspace=0.2)
cbar_ax = fig.add_axes([0.85, 0.2, 0.03, 0.75])
fig.colorbar(im, cax=cbar_ax)
cbar_ax.set_ylabel('color level')
fig.subplots_adjust(left=0.05, bottom=0.2, right=0.8, top=0.95, wspace=0.2,
hspace=0.2)
##
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Re: [Matplotlib-users] Squashed axes with AxesGrid
Hi all,
it seems that I am experiencing the same problem here with imshow (rather
than scatter) and AxesGrid. But calling imshow with aspect=False does not do
the trick for me.
I am trying to have two imshow subplots next to each other and a single
colorbar at the right. The data underlying the imshow's have different x-
and y-ranges but I want the x- and y-axis to have an aspect ratio of 1 (i.e.
each imshow should produce a square). I've tried aspect=False,
aspect='equal', and explicitely setting aspect=2 which should be the correct
value. See the three images below the code example.
I've also tried Grid instead of AxesGrid as suggested but I didn't manage to
achieve good results with the colorbar in that case.
I'd appreciate any help,
Matthias
Here's a more or less minimal code example:
#
import numpy as np
import numpy.random as npr
from scipy.interpolate import griddata
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import AxesGrid
fig = figure(1, figsize=[12,10])
grid = AxesGrid(fig, 111,
nrows_ncols = (1, 2),
axes_pad = 0.2,
share_all = False,
label_mode = 'L',
cbar_location = 'right',
cbar_mode = 'single',
cbar_pad = 0.2
)
for i in range(2):
xmin, xmax = 0., 1.
ymin, ymax = 0., 0.5
zmin, zmax = -1., 1.
# generate random data:
N = 100
X = xmin + (xmax-xmin)*npr.random((N,)) # x_i in [0, 1]
Y = ymin + (ymax-ymin)*npr.random((N,)) # y_i in [0, 0.5]
Z = zmin + (zmax-zmin)*npr.random((N,)) # z_i in [-1, 1]
# generate griddata for imshow plot:
numspaces = np.sqrt(N)
xi = linspace(xmin, xmax, numspaces)
yi = linspace(ymin, ymax, numspaces)
zi = griddata((X, Y), Z, (xi[None,:], yi[:,None]), method='nearest')
norm = matplotlib.colors.normalize(vmin=zmin, vmax=zmax)
ax = grid[i]
im = ax.imshow(zi,
extent = [xmin,xmax,ymin,ymax],
norm = norm,
vmin = zmin,
vmax = zmax,
origin = 'lower',
aspect = 'equal', # or False, or 'auto', or 2, or ...
interpolation = 'nearest')
ax.grid(False)
ax.set_xlabel('x')
ax.set_ylabel('y')
# add a colorbar:
cbar = plt.colorbar(im, cax=grid.cbar_axes[0])
cbar.ax.set_ylabel('color level')
And here are the three resulting images:
aspect='equal':
http://matplotlib.1069221.n5.nabble.com/file/n41075/equal.png
aspect=False:
http://matplotlib.1069221.n5.nabble.com/file/n41075/False.png
aspect=2.:
http://matplotlib.1069221.n5.nabble.com/file/n41075/two.png
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Re: [Matplotlib-users] Squashed axes with AxesGrid
Steven, Did you mean to switch back to AxesGrid? I thought you said that it was fixed with Grid. -Sterling On Mar 22, 2013, at 9:30AM, Steven Boada wrote: Well... I jumped the gun. To better illustrate the problem(s) I am having, I wrote a simple script that doesn't work... import pylab as pyl from mpl_toolkits.axes_grid1 import AxesGrid # make some data xdata = pyl.random(100) * 25. ydata = pyl.random(100) * 8. colordata = pyl.random(100) * 3. # make us a figure F = pyl.figure(1,figsize=(5.5,3.5)) grid = AxesGrid(F, 111, nrows_ncols=(1,2), axes_pad = 0.1, add_all=True, share_all = True, cbar_mode = 'each', cbar_location = 'top') # Plot! sc1 = grid[0].scatter(xdata, ydata, c=colordata, s=50, cmap='spectral') sc2 = grid[1].scatter(xdata, ydata, c=colordata, s=50, cmap='spectral') # Add colorbars grid.cbar_axes[0].colorbar(sc1) grid.cbar_axes[1].colorbar(sc2) grid[0].set_xlim(0,25) grid[0].set_ylim(0,8) pyl.show() And you get some squashed figures... I'll attach a png. Thanks again. Steven On Fri Mar 22 10:49:44 2013, Steven Boada wrote: Thanks JJ! That did fix my problem, but I can't say I understand what the difference is. Why does Axesgrid make them squashed while just Grid works? On Thu Mar 21 22:28:34 2013, Jae-Joon Lee wrote: It is not clear what your problem is. AxesGrid implicitly assumes aspect=1 for each axes. So, I guess your y-limits are smaller (in its span) than x-limits. If you don't want this behavior, there is no need of using the AxesGrid. Rather use Grid, or simply subplots. import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import Grid F = plt.figure(1,(5.5,3.5)) grid = Grid(F, 111, nrows_ncols=(1,3), axes_pad = 0.1, add_all=True, label_mode = 'L', ) If this is not the answer you're looking for, I recommend you to post a complete but simple script that reproduces your problem and describe the problem more explicitly. Regards, -JJ On Fri, Mar 22, 2013 at 6:03 AM, Steven Boada bo...@physics.tamu.edu mailto:bo...@physics.tamu.edu wrote: Heya List, See attached image for what I mean. Here is the grid creation bit. I can't seem to figure out what might be causing such a problem. F = pyl.figure(1,(5.5,3.5)) grid = AxesGrid(F, 111, nrows_ncols=(1,3), axes_pad = 0.1, add_all=True, label_mode = 'L', aspect=True) Should be simple enough right? -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu mailto:bo...@physics.tamu.edu -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net mailto:Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu Screen Shot 2013-03-22 at 11.27.19 AM.png-- 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_mar___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Squashed axes with AxesGrid
Sorry y'all. I can see the confusion. I started with AxesGrid -- squashed. JJ suggested Grid and that fixes the scaling problems. I realized that using just plain Grid doesn't give me the nice controls over the colorbars (which I would like to have), so I wrote a simple script and emailed it back out. That did include AxesGrid. According to the manual ( http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axes-grid1 )... aspect By default (False), widths and heights of axes in the grid are scaled independently. If True, they are scaled according to their data limits (similar to aspect parameter in mpl). Which I read as it should scale the widths and heights should not be squashed. But what Ben is telling me (thanks for the explanation) is that isn't true. Seems like there is something simple I am just missing. Sorry for that bit of confusion. Steven On Fri Mar 22 11:39:46 2013, Benjamin Root wrote: On Fri, Mar 22, 2013 at 12:30 PM, Steven Boada bo...@physics.tamu.edu mailto:bo...@physics.tamu.edu wrote: Well... I jumped the gun. To better illustrate the problem(s) I am having, I wrote a simple script that doesn't work... import pylab as pyl from mpl_toolkits.axes_grid1 import AxesGrid # make some data xdata = pyl.random(100) * 25. ydata = pyl.random(100) * 8. colordata = pyl.random(100) * 3. # make us a figure F = pyl.figure(1,figsize=(5.5,3.5)__) grid = AxesGrid(F, 111, nrows_ncols=(1,2), axes_pad = 0.1, add_all=True, share_all = True, cbar_mode = 'each', cbar_location = 'top') # Plot! sc1 = grid[0].scatter(xdata, ydata, c=colordata, s=50, cmap='spectral') sc2 = grid[1].scatter(xdata, ydata, c=colordata, s=50, cmap='spectral') # Add colorbars grid.cbar_axes[0].colorbar(__sc1) grid.cbar_axes[1].colorbar(__sc2) grid[0].set_xlim(0,25) grid[0].set_ylim(0,8) pyl.show() And you get some squashed figures... I'll attach a png. Thanks again. Steven You used AxesGrid again, not Grid. AxesGrid implicitly applies an aspect='equal' to the subplots. This means that a unit of distance on the x-axis takes the same amount of space as the same unit of distance on the y-axis. In your example, the x axis goes from 0 to 25, while the y-axis goes from 0 to 8. When aspect='equal', the y-axis will then be about a third the size of the x-axis, because the y-limits are about a third the size of the x-limits. Ben Root -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Squashed axes with AxesGrid
...and did aspect=False not give you what you want? From what I can see http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axes-grid1 contradicts itself, and the chart is correct and the description below incorrect. FWIW, I would expect the default to be False as well, but who am I to say? Cheers, Jody On Mar 22, 2013, at 9:52 AM, Steven Boada bo...@physics.tamu.edu wrote: Sorry y'all. I can see the confusion. I started with AxesGrid -- squashed. JJ suggested Grid and that fixes the scaling problems. I realized that using just plain Grid doesn't give me the nice controls over the colorbars (which I would like to have), so I wrote a simple script and emailed it back out. That did include AxesGrid. According to the manual ( http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axes-grid1 )... aspect By default (False), widths and heights of axes in the grid are scaled independently. If True, they are scaled according to their data limits (similar to aspect parameter in mpl). Which I read as it should scale the widths and heights should not be squashed. But what Ben is telling me (thanks for the explanation) is that isn't true. Seems like there is something simple I am just missing. Sorry for that bit of confusion. Steven On Fri Mar 22 11:39:46 2013, Benjamin Root wrote: On Fri, Mar 22, 2013 at 12:30 PM, Steven Boada bo...@physics.tamu.edu mailto:bo...@physics.tamu.edu wrote: Well... I jumped the gun. To better illustrate the problem(s) I am having, I wrote a simple script that doesn't work... import pylab as pyl from mpl_toolkits.axes_grid1 import AxesGrid # make some data xdata = pyl.random(100) * 25. ydata = pyl.random(100) * 8. colordata = pyl.random(100) * 3. # make us a figure F = pyl.figure(1,figsize=(5.5,3.5)__) grid = AxesGrid(F, 111, nrows_ncols=(1,2), axes_pad = 0.1, add_all=True, share_all = True, cbar_mode = 'each', cbar_location = 'top') # Plot! sc1 = grid[0].scatter(xdata, ydata, c=colordata, s=50, cmap='spectral') sc2 = grid[1].scatter(xdata, ydata, c=colordata, s=50, cmap='spectral') # Add colorbars grid.cbar_axes[0].colorbar(__sc1) grid.cbar_axes[1].colorbar(__sc2) grid[0].set_xlim(0,25) grid[0].set_ylim(0,8) pyl.show() And you get some squashed figures... I'll attach a png. Thanks again. Steven You used AxesGrid again, not Grid. AxesGrid implicitly applies an aspect='equal' to the subplots. This means that a unit of distance on the x-axis takes the same amount of space as the same unit of distance on the y-axis. In your example, the x axis goes from 0 to 25, while the y-axis goes from 0 to 8. When aspect='equal', the y-axis will then be about a third the size of the x-axis, because the y-limits are about a third the size of the x-limits. Ben Root -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Jody Klymak http://web.uvic.ca/~jklymak/ -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Squashed axes with AxesGrid
Hey Jody et al. Yeah aspect = False does the trick. Thanks for the help trouble shooting. Steven On Fri Mar 22 11:59:45 2013, Jody Klymak wrote: ...and did aspect=False not give you what you want? From what I can see http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axes-grid1 contradicts itself, and the chart is correct and the description below incorrect. FWIW, I would expect the default to be False as well, but who am I to say? Cheers, Jody On Mar 22, 2013, at 9:52 AM, Steven Boada bo...@physics.tamu.edu wrote: Sorry y'all. I can see the confusion. I started with AxesGrid -- squashed. JJ suggested Grid and that fixes the scaling problems. I realized that using just plain Grid doesn't give me the nice controls over the colorbars (which I would like to have), so I wrote a simple script and emailed it back out. That did include AxesGrid. According to the manual ( http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axes-grid1 )... aspect By default (False), widths and heights of axes in the grid are scaled independently. If True, they are scaled according to their data limits (similar to aspect parameter in mpl). Which I read as it should scale the widths and heights should not be squashed. But what Ben is telling me (thanks for the explanation) is that isn't true. Seems like there is something simple I am just missing. Sorry for that bit of confusion. Steven On Fri Mar 22 11:39:46 2013, Benjamin Root wrote: On Fri, Mar 22, 2013 at 12:30 PM, Steven Boada bo...@physics.tamu.edu mailto:bo...@physics.tamu.edu wrote: Well... I jumped the gun. To better illustrate the problem(s) I am having, I wrote a simple script that doesn't work... import pylab as pyl from mpl_toolkits.axes_grid1 import AxesGrid # make some data xdata = pyl.random(100) * 25. ydata = pyl.random(100) * 8. colordata = pyl.random(100) * 3. # make us a figure F = pyl.figure(1,figsize=(5.5,3.5)__) grid = AxesGrid(F, 111, nrows_ncols=(1,2), axes_pad = 0.1, add_all=True, share_all = True, cbar_mode = 'each', cbar_location = 'top') # Plot! sc1 = grid[0].scatter(xdata, ydata, c=colordata, s=50, cmap='spectral') sc2 = grid[1].scatter(xdata, ydata, c=colordata, s=50, cmap='spectral') # Add colorbars grid.cbar_axes[0].colorbar(__sc1) grid.cbar_axes[1].colorbar(__sc2) grid[0].set_xlim(0,25) grid[0].set_ylim(0,8) pyl.show() And you get some squashed figures... I'll attach a png. Thanks again. Steven You used AxesGrid again, not Grid. AxesGrid implicitly applies an aspect='equal' to the subplots. This means that a unit of distance on the x-axis takes the same amount of space as the same unit of distance on the y-axis. In your example, the x axis goes from 0 to 25, while the y-axis goes from 0 to 8. When aspect='equal', the y-axis will then be about a third the size of the x-axis, because the y-limits are about a third the size of the x-limits. Ben Root -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Jody Klymak http://web.uvic.ca/~jklymak/ -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Squashed axes with AxesGrid
It is not clear what your problem is. AxesGrid implicitly assumes aspect=1 for each axes. So, I guess your y-limits are smaller (in its span) than x-limits. If you don't want this behavior, there is no need of using the AxesGrid. Rather use Grid, or simply subplots. import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import Grid F = plt.figure(1,(5.5,3.5)) grid = Grid(F, 111, nrows_ncols=(1,3), axes_pad = 0.1, add_all=True, label_mode = 'L', ) If this is not the answer you're looking for, I recommend you to post a complete but simple script that reproduces your problem and describe the problem more explicitly. Regards, -JJ On Fri, Mar 22, 2013 at 6:03 AM, Steven Boada bo...@physics.tamu.eduwrote: Heya List, See attached image for what I mean. Here is the grid creation bit. I can't seem to figure out what might be causing such a problem. F = pyl.figure(1,(5.5,3.5)) grid = AxesGrid(F, 111, nrows_ncols=(1,3), axes_pad = 0.1, add_all=True, label_mode = 'L', aspect=True) Should be simple enough right? -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas AM University bo...@physics.tamu.edu -- 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_mar ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- 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_mar___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
