Re: [Matplotlib-users] Squashed axes with AxesGrid

[Matthias Flor]

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


 
###
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

[Jonathan Slavin]

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':
>  
> 
> aspect=False:
>  
> 
> aspect=2.:
>  
> 
> 
> 
> --
> View this message in context: 
> http://matplotlib.1069221.n5.nabble.com/Squashed-axes-with-AxesGrid-tp40699p41075.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
> 
> 

-- 
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 cell: (781) 363-0035   USA
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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Matthias Flor]

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':
 

aspect=False:
 

aspect=2.:
 



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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Steven Boada]

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  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 >> > 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 A&M University
>> bo...@physics.tamu.edu
>>
>> --
>> Everyone hates slow websites. So do we.
>> Make your web apps faster with AppDynamics
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>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
> --
> Jody Klymak
> http://web.uvic.ca/~jklymak/
>
>
>
>

--

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Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@physics.tamu.edu

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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Jody Klymak]

...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  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 > > 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 A&M University
> bo...@physics.tamu.edu
> 
> --
> Everyone hates slow websites. So do we.
> Make your web apps faster with AppDynamics
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--
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http://web.uvic.ca/~jklymak/





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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Steven Boada]

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  > 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 A&M University
bo...@physics.tamu.edu

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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Benjamin Root]

On Fri, Mar 22, 2013 at 12:39 PM, Sterling Smith wrote:

> Steven,
>
> Did you mean to switch back to AxesGrid?  I thought you said that it was
> fixed with Grid.
>
> -Sterling
>
>
No, I am saying that your example used "AxesGrid".  Use "Grid".

Ben Root
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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Benjamin Root]

On Fri, Mar 22, 2013 at 12:30 PM, 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
>
>
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
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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Sterling Smith]

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 >> > 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 A&M 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 A&M 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 A&M University
>> bo...@physics.tamu.edu
>  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


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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Steven Boada]

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  > 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 A&M 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
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> Matplotlib-users@lists.sourceforge.net
> 
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

--

Steven Boada

Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@physics.tamu.edu

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Re: [Matplotlib-users] Squashed axes with AxesGrid

[Jae-Joon Lee]

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 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 A&M 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
>
>
--
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