matplotlib-users Mailing List for matplotlib

On 2013/06/06 2:08 AM, Julien Cornebise wrote:
> Dear all
>
> I am puzzled: in the following code, when I call clim() *after* having
> created 3 subplots, only the last subplot takes the new limits into
> account. All other subplots ignore it. Xlim(), on the countrary, works
> as intended. Everything works fine when I set the clim()  at creation time.

I see what the problem is, so I expect to come up with a PR for it in a 
day or two.

In the meantime, as a workaround, change your clim() line to:

     plt.gca()._gci().set_clim((5,10))

Eric

On 2013/06/06 2:08 AM, Julien Cornebise wrote:
> Dear all
>
> I am puzzled: in the following code, when I call clim() *after* having
> created 3 subplots, only the last subplot takes the new limits into
> account. All other subplots ignore it. Xlim(), on the countrary, works
> as intended. Everything works fine when I set the clim()  at creation time.
>
> Am I doing something wrong, or is this a bug, please ? Any help much
> appreciated !

It's a bug.  Would you report it as an issue on github, please?  (You 
could wait 24 hours; if I come up with a PR for fix before then there 
will be no need for the issue report.)

Eric


> The offending code is below.  I use python 2.7.5
> andmatplotlib-1.3.x-py2.7-macosx-10.8-intel.egg
>
> Thanks for any help!
>
> __BEGIN_SOURCE___
>
> import matplotlib.pyplot as plt
> import numpy as np
>
> x = np.asarray([[1, 100, 20], [50, 1, 20], [20, 10, 5]])
>
> # Problem when setting clim *after* having created the two subplots:
> # only the last subplot honors the request
>
> # 1. Create the pcolormeshes in subplots
> h = plt.figure()
> for i in range(131, 134):
>      plt.subplot(i)
>      plt.pcolormesh(x)
>      plt.colorbar()
> print(h.number)
>
> # 2. Now set the clim()
> plt.figure(h.number)
> for i in range(131, 134):
>      plt.subplot(i)
>      plt.clim((5,10))
>      plt.xlim((2,3))
>
> plt.savefig('after_creation.png')
> plt.show()
>
> # No problem when setting clim *while* creating each subplot
> h = plt.figure()
> for i in range(131, 134):
>      plt.subplot(i)
>      plt.pcolormesh(x)
>      plt.colorbar()
>      plt.clim((5,10))
>      plt.xlim((2,3))
>
> plt.savefig('while_creating.png')
> plt.show()
>
> __END_SOURCE___
>
>
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On Thu, Jun 6, 2013 at 10:14 AM, Michael Droettboom <md...@st...> wrote:

>  By default (when interpolation="nearest") matplotlib is performing
> nearest neighbor interpolation on the image to the request PDF dpi before
> storing it in the file.  This results in rows and columns of unequal size
> because the ratio from the original image to the destination resolution is
> likely not integral.
>
> You can set interpolation="none", which will pass the original image as-is
> on to the file, but then we can't control the interpolation mode (since
> there's no way to tell the PDF viewer what sort of interpolation to
> perform), so that (usually) will result in bicubic interpolation, which is
> probably not what you want.
>
> Mike
>
>
>From experience, it seems that pcolor() or pcolormesh() works best for
pdf's because it saves the polygons.  You might need some tweaking to get
it exactly right, but at least the pdf viewer won't smudge it all out.

Cheers!
Ben Root

By default (when interpolation="nearest") matplotlib is performing 
nearest neighbor interpolation on the image to the request PDF dpi 
before storing it in the file.  This results in rows and columns of 
unequal size because the ratio from the original image to the 
destination resolution is likely not integral.

You can set interpolation="none", which will pass the original image 
as-is on to the file, but then we can't control the interpolation mode 
(since there's no way to tell the PDF viewer what sort of interpolation 
to perform), so that (usually) will result in bicubic interpolation, 
which is probably not what you want.

Mike

On 06/06/2013 05:52 AM, Michiel de Hoon wrote:
> Hi all,
>
> I am trying to draw a heatmap using matshow, which I then save as a PDF.
> If I then zoom in in the PDF, I notice that different rows have different sizes, and different columns have different sizes. It seems that some rows/columns have twice the height/width as other rows/columns.
> Attached is a screenshot of part of the PDF after zooming in.
> Is there some way to force all rows / columns to have the same height/width?
>
> Best,
> -Michiel.
>
>
> ------------------------------------------------------------------------------
> How ServiceNow helps IT people transform IT departments:
> 1. A cloud service to automate IT design, transition and operations
> 2. Dashboards that offer high-level views of enterprise services
> 3. A single system of record for all IT processes
> http://p.sf.net/sfu/servicenow-d2d-j
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Dear all

I am puzzled: in the following code, when I call clim() *after* having
created 3 subplots, only the last subplot takes the new limits into
account. All other subplots ignore it. Xlim(), on the countrary, works as
intended. Everything works fine when I set the clim()  at creation time.

Am I doing something wrong, or is this a bug, please ? Any help much
appreciated !
The offending code is below.  I use python 2.7.5
andmatplotlib-1.3.x-py2.7-macosx-10.8-intel.egg

Thanks for any help!

__BEGIN_SOURCE___

import matplotlib.pyplot as plt
import numpy as np

x = np.asarray([[1, 100, 20], [50, 1, 20], [20, 10, 5]])

# Problem when setting clim *after* having created the two subplots:
# only the last subplot honors the request

# 1. Create the pcolormeshes in subplots
h = plt.figure()
for i in range(131, 134):
    plt.subplot(i)
    plt.pcolormesh(x)
    plt.colorbar()
print(h.number)

# 2. Now set the clim()
plt.figure(h.number)
for i in range(131, 134):
    plt.subplot(i)
    plt.clim((5,10))
    plt.xlim((2,3))

plt.savefig('after_creation.png')
plt.show()

# No problem when setting clim *while* creating each subplot
h = plt.figure()
for i in range(131, 134):
    plt.subplot(i)
    plt.pcolormesh(x)
    plt.colorbar()
    plt.clim((5,10))
    plt.xlim((2,3))

plt.savefig('while_creating.png')
plt.show()

__END_SOURCE___

Dear members,
                   Is there a way to add error bar to pandas ts.plot object?.
with best regards,
Sudheer

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Hi all,

I am trying to draw a heatmap using matshow, which I then save as a PDF.
If I then zoom in in the PDF, I notice that different rows have different sizes, and different columns have different sizes. It seems that some rows/columns have twice the height/width as other rows/columns.
Attached is a screenshot of part of the PDF after zooming in.
Is there some way to force all rows / columns to have the same height/width?

Best,
-Michiel.

I have python 3.3.2 from python.org installed as a Framework.  I set up a virtualenv to test the script 
$ virtualenv-3.3 mpl121 --no-site-packages
$ .mpl121/bin/activate
$ pip-3.3 install numpy
$ pip-3.3 install matplotlib
With this setup, key events are passed to the window behind the active plot window and no event is printed by the test script.  Mouse clicks in the plot window do cause the script to print out the event.  I even tried installing 1.4.x into the virtualenv with
$ pip-3.3 install git+https://github.com/matplotlib/matplotlib.git#egg=matplotlib
The key events were not printed out by the script.

I tried creating a different virtualenv using --system-site-packages and the script failed to detect key events.

If I deactivate the virtualenvs and run the script with matplotlib-1.4.x-py3.3-macosx-10.6-intel.egg in /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/
the key events are printed by the script.

I'm not sure why using matplotlib from a virtualenv causes the key events to be ignored in my setup.  I should have stated in my first reply that I used a virtualenv to test 1.2.1 and 1.3.0rc2 but not 1.4.x.

Scott


On Jun 5, 2013, at 7:49 PM, Michiel de Hoon <mjl...@ya...> wrote:

> The script works for me with matplotlib-1.2.1 both with Python2 and with Python3 with the MacOSX backend.
> To rule out the usual culprit, is your Python3 installed as a framework?
> 
> Best,
> -MIchiel.
> 
> 
> ----- Original Message -----
> From: Scott Lasley <sl...@sp...>
> To: "mat...@li..." <mat...@li...>
> Cc: 
> Sent: Thursday, June 6, 2013 4:50 AM
> Subject: Re: [Matplotlib-users] key_press_events on macosx
> 
> 
> On Jun 5, 2013, at 2:51 PM, Matt Terry <mat...@gm...> wrote:
> 
>> Hi,
>> I'm working on a TextBox widget and have run into problems registering key_press_events with the macosx backend.  button_press_events work, but key_press_events fail to trigger.  If I change backends to tkAgg, everything triggers as expected.
>> 
>> Can anyone reproduce this?
>> Run the following script; click the figure and bang on the keyboard.  Mouse clicks and keyboard clicks should echo on the screen.  I'm using mpl 1.2.1 with Anaconda.
>> 
>> -matt
>> 
>> import pylab as plt
>> plt.switch_backend('macosx')
>> 
>> 
>> def print_event(event):
>>      print 'event', event
>> 
>> ax = plt.subplot(111)
>> fig = ax.figure
>> 
>> x = range(10)
>> ax.plot(x, x)
>> # mouse clicks work on tkAgg & macosx
>> fig.canvas.mpl_connect('button_press_event', print_event)
>> # key presses only work on tkAgg
>> fig.canvas.mpl_connect('key_press_event', print_event)
>> 
>> plt.show()
> 
> key_press_events in the script fail on my mac running OS X 10.8, python 3.3.2 from python.org and with both matplotlib 1.2.1 installed with pip and matplotlib-1.3.0rc2 from the matplotlib.org download page
> 
> They do work with the latest matplotlib 1.4 from github
> 
> hth,
> Scott

I've only tested against the prepackaged python 2.7, mpl 1.2.1 in an
anaconda install. Anaconda is not a framework build.
On Jun 5, 2013 4:50 PM, "Michiel de Hoon" <mjl...@ya...> wrote:

> The script works for me with matplotlib-1.2.1 both with Python2 and with
> Python3 with the MacOSX backend.
> To rule out the usual culprit, is your Python3 installed as a framework?
>
> Best,
> -MIchiel.
>
>
>
>
>
> ----- Original Message -----
> From: Scott Lasley <sl...@sp...>
> To: "mat...@li..." <
> mat...@li...>
> Cc:
> Sent: Thursday, June 6, 2013 4:50 AM
> Subject: Re: [Matplotlib-users] key_press_events on macosx
>
>
> On Jun 5, 2013, at 2:51 PM, Matt Terry <mat...@gm...> wrote:
>
> > Hi,
> > I'm working on a TextBox widget and have run into problems registering
> key_press_events with the macosx backend.  button_press_events work, but
> key_press_events fail to trigger.  If I change backends to tkAgg,
> everything triggers as expected.
> >
> > Can anyone reproduce this?
> > Run the following script; click the figure and bang on the keyboard.
> Mouse clicks and keyboard clicks should echo on the screen.  I'm using mpl
> 1.2.1 with Anaconda.
> >
> > -matt
> >
> > import pylab as plt
> > plt.switch_backend('macosx')
> >
> >
> > def print_event(event):
> >     print 'event', event
> >
> > ax = plt.subplot(111)
> > fig = ax.figure
> >
> > x = range(10)
> > ax.plot(x, x)
> > # mouse clicks work on tkAgg & macosx
> > fig.canvas.mpl_connect('button_press_event', print_event)
> > # key presses only work on tkAgg
> > fig.canvas.mpl_connect('key_press_event', print_event)
> >
> > plt.show()
>
> key_press_events in the script fail on my mac running OS X 10.8, python
> 3.3.2 from python.org and with both matplotlib 1.2.1 installed with pip
> and matplotlib-1.3.0rc2 from the matplotlib.org download page
>
> They do work with the latest matplotlib 1.4 from github
>
> hth,
> Scott
>
> ------------------------------------------------------------------------------
> How ServiceNow helps IT people transform IT departments:
> 1. A cloud service to automate IT design, transition and operations
> 2. Dashboards that offer high-level views of enterprise services
> 3. A single system of record for all IT processes
> http://p.sf.net/sfu/servicenow-d2d-j
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
> ------------------------------------------------------------------------------
> How ServiceNow helps IT people transform IT departments:
> 1. A cloud service to automate IT design, transition and operations
> 2. Dashboards that offer high-level views of enterprise services
> 3. A single system of record for all IT processes
> http://p.sf.net/sfu/servicenow-d2d-j
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>