something like:
fig.add_axes([0.1, 0.1, 0.8, 0.8], preserve_absolute_margins=True)
If this would be useful, I can open a pull request.
Cheers,
Tom
On 9 September 2015 at 23:29, Thomas Robitaille
<thomas.robitai...@gmail.com> wrote:
> Thanks Eric - unfortunately I need to be able
Hi everyone,
I am interested in creating axes in an interactive figure where the
distance from the spines of the axes to the figure edge are constant
in absolute terms.
To clarify what I mean, when using add_axes([0.1, 0.1, 0.8, 0.8]), the
spines of the axes are always located a distance from
be easy to build as an Axes subclass?
Cheers,
Tom
On 9 September 2015 at 23:12, Eric Firing <efir...@hawaii.edu> wrote:
> On 2015/09/09 11:01 AM, Thomas Robitaille wrote:
>>
>> Hi everyone,
>>
>> I am interested in creating axes in an interactive figure wher
Hi Thomas,
Are there also already plans to change the default color cycle?
Changing to one of the qualitative color sequences from colorbrewer2
would be a very nice change in defaults, but I am presuming that this
has already been suggested?
Cheers,
Tom
On 12 July 2015 at 18:11, Thomas Caswell
Hi everyone,
I have just released a small plugin for py.test that wraps the image
comparison functionality in matplotlib.testing, for use in other
packages that use py.test as the testing framework instead of nose:
https://github.com/astrofrog/pytest-mpl
The idea is to make it easy to write a
Hi everyone,
If you use scientific Python packages for your research/work, I would
appreciate if you could take a few minutes to fill out the following
survey:
http://goo.gl/PXzFAk
The aim of this survey is to find out what versions of Python and
various scientific Python packages people are
Hello,
I am interested in using the Matplotlib transformation framework to
transform a rectangle into a different coordinate system. I am therefore
defining a Rectangle patch and setting the transform to what I want. If
I apply a non-linear transformation, the edges of the rectangle should
no
Hi everyone,
I'm developing a simple GUI tool in Matplotlib that relies on the
event framework to handle buttons/sliders. I am trying to avoid using
a GUI toolkit directly to ensure maximum compatibility for users.
One thing I would like is to be able to have a 'save' button that will
open up a
Hello,
I am trying to build the latest version of matplotlib from the git repository
(1cd07a6c) on MacOS 10.7, and regardless of whether I build using the make.osx
file or just 'python setup.py build', the C files get compiled with clang, and
clang raises an error on one of the files:
Hi,
I've found a bug in imread which causes images in PNG and JPEG format to be
flipped when using imshow. For example,
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(1,2,1)
image = plt.imread('2mass_rgb.png')
ax.imshow(image,
, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hi Jae-Joon,
Ok, that makes sense - I tried upgrading to 9.0.1 and it looks like there is
still an issue:
6204 test_1.eps
34104 test_2.eps
Cheers,
Tom
On Mar 12, 2011, at 11:38 AM, Jae-Joon Lee wrote:
Note that, even
Hi,
The following code causes matplotlib to hang:
---
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
from matplotlib.patches import Circle
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
ax.add_patch(Circle((1.e17, 1.e17), radius=1.e15))
Hello,
It seems that at some point in the last few months a change was made that means
that the following code no longer works properly:
---
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
mpl.rc('text', usetex=True)
fig = plt.figure()
ax =
/issues/85
Cheers,
Tom
On Friday, April 15, 2011 at 7:22 PM, Thomas Robitaille wrote:
Hello,
It seems that at some point in the last few months a change was made that
means that the following code no longer works properly:
---
import matplotlib as mpl
mpl.use('Agg')
import
Hi,
I would like to set the zorder on a collection e.g. PatchCollection. By looking
at the matplotlib source code in collections.py, I figured that it would be
possible to set the zorder attribute of a collection manually, e.g.
p = PatchCollection(...)
p.zorder = ...
but I was wondering
are ~4M in size.
Can you check if the file size varies significantly with rc parameters
ps.usedistiller?
I'm not sure how text setting can affect the images.
Regards,
-JJ
On Tue, Mar 1, 2011 at 7:23 AM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hi,
In the following
parameters
ps.usedistiller?
I'm not sure how text setting can affect the images.
Regards,
-JJ
On Tue, Mar 1, 2011 at 7:23 AM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hi,
In the following example:
---
import numpy as np
import matplotlib as mpl
mpl.use('Agg
Hi,
In the following example:
---
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.imshow(np.random.random((1024, 1024)), interpolation='nearest')
fig.savefig('test_1.eps')
mpl.rc('text',
Hi,
I am using matplotlib with the MacOSX backend. If I run:
import matplotlib
matplotlib.use('MacOSX')
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
the cursor coordinates are missing from the bottom right of the window. If I
click on the figure, the
Hi,
Is there a way to prevent the matplotlib install from trying to compile for ppc
for the c++ compiler? I usually set
export MACOSX_DEPLOYMENT_TARGET=10.6
export CFLAGS=-arch i386 -arch x86_64
export CPPFLAGS=-arch i386 -arch x86_64
export FFLAGS=-arch i386 -arch x86_64
export LDFLAGS=-Wall
Hi,
When using log scale, if the error is larger than flux, the error bar does not
plot at all:
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.errorbar([1.],[1.],yerr=[2.])
ax.set_yscale('log')
fig.savefig('test.png')
Hello,
I updated to svn r8396 today, and the MacOSX backend is broken. The following
code
import matplotlib
matplotlib.use('MacOSX')
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax = fig.add_subplot(1,1,1)
fig.canvas.draw()
produces the following error:
File
Hello,
I have run into a problem with the bbox_inches='tight' option which allows a
tight bounding box to be computed for a plot. In the following example:
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax = fig.add_subplot(1,1,1)
Hi,
I'm having issues with translucent patches. The following code
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
from matplotlib.patches import Circle
fig = mpl.figure()
ax = fig.add_subplot(111)
c = Circle((0.25,0.5), radius=0.2, facecolor='none', edgecolor='green',
Hello,
I am currently using the sphinxext module to write documentation that includes
automatically generated plots. I was wondering if there is a way to override
the default savefig behavior for this - for example, I would like all the plots
for the documentation to have the
Hi,
Last year, I submitted a bug report regarding the fact that PatchCollection's
match_original argument does not work properly, in a pretty simple script:
https://sourceforge.net/tracker/?func=detailaid=2881485group_id=80706atid=560720
I came across the problem again several times recently,
Thomas Robitaille wrote:
It looks like the zlib website removes previous version of its library
that were previously available for download, so the part in make.osx where
http://www.zlib.net/zlib-1.2.3.tar.gz is fetched now fails (since the
current version is 1.2.4). The error
of LaTeX is this?
Mike
Thomas Robitaille wrote:
Hello,
I upgraded to the latest svn version of matplotlib today, and found that eps
files produced with the system latex now seem to be invalid. For example, if
I run the following script
import matplotlib
matplotlib.use('Agg')
import
distiller is run. This change removed a commented out call
to ps2eps. I'm a bit out of my depth here as to why that change was made,
and why .eps files seemingly haven't been true .eps files for a long time
prior to that change. Anyone else?
Mike
Thomas Robitaille wrote:
It seems
Hi,
I have been trying to use the Affine2D transformation with pcolor and contour,
with no success. The following script and comments illustrates my problems:
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
from matplotlib.transforms import Affine2D
import numpy as np
image =
Hello,
I upgraded to the latest svn version of matplotlib today, and found that eps
files produced with the system latex now seem to be invalid. For example, if I
run the following script
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
mpl.rc('text', usetex=False)
fig
Hello,
It looks like the zlib website removes previous version of its library that
were previously available for download, so the part in make.osx where
http://www.zlib.net/zlib-1.2.3.tar.gz is fetched now fails (since the current
version is 1.2.4). The error in the matplotlib building is not
Hello,
In the following example, I am trying to copy over existing collections from
one plot to another:
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.scatter([0.5],[0.5])
fig.savefig('test1.png')
fig = mpl.figure()
ax2 = fig.add_subplot(1,1,1)
for c in
.
Regards,
-JJ
On Mon, Mar 29, 2010 at 12:24 PM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hello,
In the following example, I am trying to copy over existing collections from
one plot to another:
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax1 = fig.add_subplot
(take a look at demo_locatable_axes_easy function in the
example below)
http://matplotlib.sourceforge.net/examples/axes_grid/demo_axes_divider.html
-JJ
On Thu, Mar 4, 2010 at 9:05 PM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hi,
I am trying to set up a colorbar
function in the
example below)
http://matplotlib.sourceforge.net/examples/axes_grid/demo_axes_divider.html
-JJ
On Thu, Mar 4, 2010 at 9:05 PM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hi,
I am trying to set up a colorbar that automatically resizes if I zoom
(all=True)
Regards,
-JJ
On Fri, Mar 5, 2010 at 9:38 AM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hi Jae-Joon,
I am encountering another issue, when using the method you suggest in
combination with the parasite_axes from the matplotlib toolkit:
---
import
Hi,
I would like to change the orientation of a colorbar once it has already been
drawn. So for example if I create the colorbar with:
cb = fig.colorbar(mappable=image, cax=cax, orientation='vertical')
I would like to be able to do
cb.set_orientation('horizontal')
Is there a way to do this,
Hi,
I am trying to set up a colorbar that automatically resizes if I zoom in to an
image (which changes the aspect ratio of the axes, so I want the colorbar to
get resized too). Let's say I have two Axes instances, say ax (for the main
image) and cax (for the colorbar). I can set up a callback
Hello,
I'm trying to make a log plot using set_xscale and set_yscale. The default
LogFormatter however shows 10^-1, 10^0, and 10^1 rather than 0.1, 1, and 10
(other plotting packages I've used usually automatically substitute these three
common labels). Is there a way that the LogFormatter
Hello,
I'm trying to plot two perpendicular arrows and getting them to start
from the exact same point. If I try the following:
---
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
from matplotlib.patches import FancyArrowPatch
fig = mpl.figure()
ax =
://matplotlib.sourceforge.net/users/annotations_guide.html#annotating-with-arrow
-JJ
On Thu, Nov 19, 2009 at 9:46 AM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hello,
I'm trying to plot two perpendicular arrows and getting them to
start from
the exact same point. If I try
Hi,
Is there an easy way to add axes to a figure, but specify the 'rect'
in real rather than relative units? For example, something like:
fig.add_axes([0.5,0.5,3.,3.], inches=True)
This would guarantee that for example if I want to increase the canvas
size to add more subplots, I don't have
Hi,
I'm trying to plot a horizontal colorbar with labels on top. I can use
axcbar = fig.add_axes([0.2, 0.85, 0.6, 0.03])
axcbar.xaxis.set_ticks_position('top')
cbar = fig.colorbar(s, cax=axcbar, orientation='horizontal')
but then I lose the ticks on the bottom of the colorbar. However,
Hi,
I'm not sure what I'm doing wrong here:
import matplotlib.pyplot as mpl
from matplotlib.ticker import NullFormatter
fig = mpl.figure()
ax = fig.add_subplot(111)
ax.xaxis.set_major_formatter(NullFormatter)
This returns the error:
Traceback (most recent call last):
File test.py, line 6,
Hello,
The make.osx file is now required (or at least recommended) to build
matplotlib on MacOS X, but the file is absent from the 0.9.1 RC1
tarfile. Is this an oversight, or is it deliberate?
Thanks,
Thomas
--
Hi,
I'm interested in controlling how the cursor position appears at the bottom
of interactive windows.
I noticed that by default, it is the Formatter that gets called. However, in
my case, the displayed coordinates each depend on both the x and y pixel
value, and therefore I need to somehow
I think the easiest solution is to override the Axes.format_coord.
For example,
ax = gca()
ax.format_coord = lambda x,y : x=%g y=%g % (x, y)
x,y are in data coordinate. I'm not sure if there is any side effect,
but it seems that the format_coord method is only used to display the
Matthias Michler wrote:
#
import numpy as np
import matplotlib.pyplot as plt
# generate some data on log-scale
x = 10**np.random.uniform(size=1000)
# histogram with log-bining
plt.hist(x, bins=10**np.linspace(0, 1, 10))
plt.xscale('log')
plt.show()
Hi,
Is there an easy way to force a colorbar to not take up space from the Axes
it is being plotted next to? In the following example, what I would like is
for the top Axes to remain the same size as the bottom one, and for the
colorbar to place itself on the right of the top one. Is this easy
Hi,
What is the easiest way to plot a histogram with a logarithmic x-axis? The
Axes.hist() method takes a log=True/False argument, but this applies only to
the y axis.
Is the only solution to plot a histogram of np.log10(array) and to change
the tick formatter to a Log formatter, or is there a
John Hunter-4 wrote:
On Thu, Feb 12, 2009 at 2:13 PM, Ryan May rma...@gmail.com wrote:
On Wed, Feb 11, 2009 at 7:30 PM, John Hunter jdh2...@gmail.com wrote:
On Wed, Feb 11, 2009 at 2:49 PM, Ryan May rma...@gmail.com wrote:
Well, I checked in an example that shows the functionality. The
Hi,
I'm trying to use the scatter method, making use of the option to specify
the marker as a tuple. From the documentation, it would seem that specifying
marker=(0,3,0) should draw a circle. However, this is not the case. If you
consider the following code:
import matplotlib
Hi Jae-Joon,
Thanks for the quick fix! Just looked in the svn browser, and noticed
you changed line 5290 of axes.py to
'o' : (0,0,3),
Should this not be
'o' : (0,3,0),
?
Thanks,
Tom
On Jun 21, 2009, at 2:59 PM, Jae-Joon Lee wrote:
Thanks for the report.
And, this turned out to be a
Hi Mike,
Thanks for pointing this out - I hadn't noticed the offsets argument.
I'll try it out!
Cheers,
Tom
On May 6, 2009, at 10:39 AM, Michael Droettboom wrote:
offsets is intended to work for this. Is it broken?
Cheers,
Mike
Thomas Robitaille wrote:
Hi,
I noticed that it's
I've realized that using the ParasiteAxes from the mpl_toolkits should do
exactly what I'm asking. However, I am having a problem with callbacks when
the x and y limits change (try resizing the window). The following script
shows that the callback for the second set of axes is not carried out. Is
There was a typo in the script, the callbacks should be
ax.name = first axis
ax.callbacks.connect('xlim_changed',check_callback)
ax.callbacks.connect('ylim_changed',check_callback)
ax2 = ax.twin()
ax2.name = second axis
ax2.callbacks.connect('xlim_changed',check_callback)
Not sure if this will help, but maybe you can do something like this?
---
#!/usr/bin/env python
from pylab import *
from scipy import *
img = standard_normal((40,40))
image = imshow(img,interpolation='nearest',animated=True,label=blah)
for k in range(1,1):
img =
Hello,
I want to create two sets of axes for a figure that would be
equivalent to
ax = fig.add_subplot(111)
ax2 =
ax
.figure
.add_axes(ax.get_position(True),frameon=False,sharex=ax,sharey=ax)
except that I want to be able to specify different tick locators and
formatters for ax and ax2.
thoughts.
Mike
Thomas Robitaille wrote:
Hi Jae-Jong and John,
Thanks for your replies! While experimenting with this to send
screenshots, I realized that my default backend was set to
MacOSX, not
WXAgg. The WXAgg output to the screen actually agrees with the
PNG output in
terms
Thanks!
Thomas
On 1 May 2009, at 15:04, Eric Firing wrote:
Christopher Barker wrote:
Eric Firing wrote:
Split the command up:
p = Circle(...)
ax.add_patch(p, ...)
(add_* could be modified to return the reference; maybe this would
be
worthwhile.)
+1
Done in r7077.
Eric
,
Thomas
On 29 Apr 2009, at 21:13, Eric Firing wrote:
Thomas Robitaille wrote:
Hi,
Is there an easy way to draw a patch or a patchcollection such that
it always stays at the same relative position in a set of axes,
rather than at the same pixel position? So for example, I would
want
Hi Jae-Jong and John,
Thanks for your replies! While experimenting with this to send
screenshots, I realized that my default backend was set to MacOSX, not
WXAgg. The WXAgg output to the screen actually agrees with the PNG
output in terms of font sizes. But the font sizes differ between
Hi Jouni,
Thanks for your help! Following what you suggested, I've decided to use
ax.text(0.5,-0.13,xlabel,transform
=ax.transAxes,ha='center',va='center')
Thanks,
Thomas
On 28 Apr 2009, at 01:39, Jouni K. Seppänen wrote:
Thomas Robitaille thomas.robitai...@gmail.com writes
Hi,
I am using the savefig method to save plots - however, I am finding
that the font size is systematically larger in the saved images than
in the WxAgg window. It seems that text is ~30% larger in PNG and PDF
files compared to the WxAgg display (relative to the axes box size).
This can
position.
e.g.
import pylab
hAxes = pylab.axes()
pylab.xlabel('test')
hAxes.xaxis.LABELPAD = 0
pylab.show()
--
Yong-Duk Jin
On Tuesday 28 April 2009 14:08:50 Thomas Robitaille wrote:
Hi,
This is probably a simple question, but what is the best way to
control the vertical positioning
point to my custom
savefig?
Thanks!
Thomas
On 28 Apr 2009, at 11:57, John Hunter wrote:
On Tue, Apr 28, 2009 at 8:21 AM, Thomas Robitaille
thomas.robitai...@gmail.com
wrote:
Hi,
I was wondering if it is possible to override the 'save' button in
wxAgg so that once a filename has
Hi,
This is probably a simple question, but what is the best way to
control the vertical positioning of the x-axis label? I tried:
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax = fig.add_subplot(111)
ax.set_xlabel(Hello,position=(0.5,-0.2))
It works great now - thanks for fixing this!
Thomas
On Apr 23, 2009, at 10:29 AM, Michael Droettboom wrote:
I think Jae-Joon's assesment is correct, since the logical dpi in PS
is hardcoded to 72.0. I have made this change in the SVN repository.
Mike
Thomas Robitaille wrote:
Thanks
Hi,
I've come across a bug with the savefig method when using the dpi=
argument and saving an EPS file. If you try the following code, you
will see that the frame is incomplete. Is there a way to solve this
from a user point of view?
---
import matplotlib
matplotlib.use('Agg')
from
(which is the dpi of the figure when
ps backend is used) seems to solve the problem.
Thomas, I don't see any easy workaround for this bug other than
patching the code. Others may have better insight though.
Regards,
-JJ
On Tue, Apr 21, 2009 at 9:59 AM, Thomas Robitaille
thomas.robitai
Hello,
I am having a problem with imshow and PNG output. The following code
can reproduce the problem:
---
import matplotlib
matplotlib.use('Agg')
from matplotlib.pyplot import *
import numpy as np
image = np.random.random((100,100))
fig = figure(figsize=(4,4))
ax = fig.add_subplot(111)
Hi,
A while ago, I sent an email around asking about the EPS output from
matplotlib. The following example summarizes the problem well:
import matplotlib
matplotlib.use('Agg')
from matplotlib.pyplot import *
import numpy as np
nx,ny = 10,10
image = np.random.random((nx,ny))
fig =
Hi,
I've found that the match_original=True option in PatchCollection
causes matplotlib to crash. I have submitted two bug reports:
https://sourceforge.net/tracker/?func=detailaid=2732455group_id=80706atid=560720
https://sourceforge.net/tracker/?func=detailaid=2723527group_id=80706atid=560720
Hello,
I am plotting a numpy array with
image = imshow(array,vmin=0,vmax=100)
If I want to change the array, I can then do
image.set_data(new_array)
and I can also update the colormap, etc. But I can't find any options
to update the vmin and vmax values. Am I missing something? What I am
for PS files. Is this something that could be fixed
in future?
Thanks,
Thomas
On Mar 31, 2009, at 4:32 PM, John Hunter wrote:
On Tue, Mar 31, 2009 at 2:56 PM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hello,
I am using matplotlib to create postscript and SVG files. I am
Hello,
I am using matplotlib to create postscript and SVG files. I am
currently using imshow to show the contents of an array, but this
means that when saving vector graphics files, matplotlib resamples the
image/array onto a finer grid. What I would like, is for code such as
this:
= fig.add_subplot(111)
ax.pcolor(image)
fig.savefig('plot.ps')
produces a 2Mb+ file.
Thanks,
Thomas
On Mar 31, 2009, at 4:32 PM, John Hunter wrote:
On Tue, Mar 31, 2009 at 2:56 PM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hello,
I am using matplotlib to create postscript and SVG
Hello,
I was wondering whether there is a way to rotate a grayscale/
colorscale when using imshow.
I have been using PGPLOT (a fortran/c plotting library) for many years
now, and the equivalent to imshow is called PGGRAY (or PGIMAG). One of
the arguments this function takes is a 6-element
= np.random.random((10,10))
tr = Affine2D().rotate_deg(45.)
fig = figure()
ax = fig.add_subplot(111)
ax.imshow(im,transform=tr)
fig.canvas.draw()
Am I doing something wrong?
Thanks!
Thomas
On Mar 13, 2009, at 5:20 PM, Andrew Straw wrote:
Eric Firing wrote:
Thomas Robitaille wrote:
Hello,
I
:
Eric Firing wrote:
Thomas Robitaille wrote:
Hello,
I was wondering whether there is a way to rotate a grayscale/
colorscale when using imshow.
I have been using PGPLOT (a fortran/c plotting library) for many
years
now, and the equivalent to imshow is called PGGRAY (or PGIMAG).
One
wrote:
Eric Firing wrote:
Thomas Robitaille wrote:
Hello,
I was wondering whether there is a way to rotate a grayscale/
colorscale when using imshow.
I have been using PGPLOT (a fortran/c plotting library) for
many years
now, and the equivalent to imshow is called PGGRAY (or PGIMAG).
One
:
Thomas Robitaille wrote:
Hello,
I am using matplotlib to show an image using:
fig = figure()
ax = fig.add_subplot(111)
ax.imshow(image)
After doing this, I want to find the contours for a different image
(with different dimensions), but I do not want to interact with the
current figure
Hi Eric,
I'm using matplotlib 0.98 (which comes with the Enthought distribution)
so that would explain why there was an issue.
Thanks for your help!
Thomas
Eric Firing wrote:
Thomas Robitaille wrote:
Hi Eric,
Thanks for your help! Unfortunately, ax.set_autoscale_on(False) does
not work
Hello,
I am using matplotlib to show an image using:
fig = figure()
ax = fig.add_subplot(111)
ax.imshow(image)
After doing this, I want to find the contours for a different image
(with different dimensions), but I do not want to interact with the
current figure or axes, I just want to
Hi everyone,
I wish to execute a certain function every time the view interval of
a figure is updated, for example when it is changed interactively
using the zoom rectangle or home button in WXAgg. Matplotlib must
already be calling certain routines, such as the tick locator and
Hi everyone,
I am plotting a figure where I need two independent x axes and two
independent y axes. I've tried to use both twinx and twiny at the
same time, and this works to some extent, but it looks like it is
plotting the labels for the bottom x axis and the right-hand y axis
twice,
Hi everyone,
I am defining my own Locator class to determine where matplotlib
should place the ticks on the x axis. I have managed do so, except
for one problem. In order to determine the position of the ticks on
the x-axis, I not only need the x axis range, which I can retrieve
with
Hi all,
I am trying to do the following to produce a customized contour plot:
1. Create a ContourSet from contour()
2. Retrieve vertex positions from this ContourSet
3. Modify the vertex positions by applying a coordinate transformation
4. Apply the changes to the ContourSet
5. Plot the
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