matplotlib-users Mailing List for matplotlib

See Subject. I use matplotlib, scipy, numpy and possibly one other 
module. If I go to the control panel, I only see numpy listed. Why? I 
use a search and find only numpy and Python itself. How can matplotlib 
and scipy be uninstalled?

-- 
            Wayne Watson (Watson Adventures, Prop., Nevada City, CA)

              (121.015 Deg. W, 39.262 Deg. N) GMT-8 hr std. time)
               Obz Site:  39° 15' 7" N, 121° 2' 32" W, 2700 feet

             "An experiment is a question which science poses to
              Nature, and a measurement is the recording of
              Nature’s answer." -- Max Planck


                     Web Page:<www.speckledwithstars.net/>

Eric Firing <efiring@...> writes:

> Try "ipython -pylab".  We don't want the threaded version.
> 
> Eric

Well, it seems matplotlib svn is required. I got it working after I upgraded
from 1.0 to svn (revision 8624 to be precise) and with Ipython 0.11.alpha1.
Thanks for the tip again, I am a happier man now ;)

Jorge

On 08/08/2010 12:53 AM, Rob Schneider wrote:
> Running 0.98.5.3
> (would upgrade to 1.0 but having trouble installing it on Mac OS X as it doesn't appear to like the version of Python Apple provides).
>

Standard procedure on the Mac is to install the python from python.org. 
That way you don't risk fouling up the python that OS X is depending on, 
and at the same time your own code can use the version of python that 
most extension packages are built for.


> I have a module where there are two functions which call matplotlib to each create a different graph which both saved to an output PNG file.  The import statements:
>
> import matplotlib
> matplotlib.use('Agg')
> import matplotlib.pyplot as plt
> import numpy as np
>
> are at the top of the module file.  Neither function imports anything specifically, relying on the above imports.
>
> I call each function sequentially.  The result is that the first graph is created correctly. The second graph is flawed, and in fact shows the legend from the first function.  When I reverse the function calls, which ever graphing function is called first is ok, but second is flawed. If I call each function on it's own, within the same Python session, the graphs (both) get produced flawlessly.
>
> both charts are bar charts; but one does a stacked bar and the other is a simple bar chart.
>
> Why would I not be able to call the two functions sequentially?  Why does the first call interfere with the second call?
>

I don't think anyone is going to be able to answer this question until 
you provide a minimal stand-alone code example.  Also, the process of 
stripping your code down to the shortest example that displays the 
undesired behavior may show you where the problem lies.

Eric

Hi list members!

I'm not sure if this is bad style or anything but I'm trying to do
something like in this example:
http://matplotlib.sourceforge.net/examples/pylab_examples/barchart_demo2.html

I would like to haver different labels on both sides.
a) I tried using the twinx() command like in that example but the axes
seem to be scaled differently i.e. the ticks on the right don't have the
same spacing as on the left.

Sample code is here:
http://paste.pocoo.org/show/247636/

b) Is it necessary to do that with twinx() or is there a way to set the
labels for both sides independently?

Best
Simon

Running 0.98.5.3
(would upgrade to 1.0 but having trouble installing it on Mac OS X as it doesn't appear to like the version of Python Apple provides).

I have a module where there are two functions which call matplotlib to each create a different graph which both saved to an output PNG file.  The import statements:

import matplotlib
matplotlib.use('Agg') 
import matplotlib.pyplot as plt
import numpy as np

are at the top of the module file.  Neither function imports anything specifically, relying on the above imports.

I call each function sequentially.  The result is that the first graph is created correctly. The second graph is flawed, and in fact shows the legend from the first function.  When I reverse the function calls, which ever graphing function is called first is ok, but second is flawed. If I call each function on it's own, within the same Python session, the graphs (both) get produced flawlessly.

both charts are bar charts; but one does a stacked bar and the other is a simple bar chart.

Why would I not be able to call the two functions sequentially?  Why does the first call interfere with the second call?

--rms

Running 0.98.5.3
(would upgrade to 1.0 but having trouble installing it on Mac OS X as it doesn't appear to like the version of Python Apple provides).

I have a module where there are two functions which call matplotlib to each create a different graph which both saved to an output PNG file.  The import statements:

import matplotlib
matplotlib.use('Agg') 
import matplotlib.pyplot as plt
import numpy as np

are at the top of the module file.  Neither function imports anything specifically, relying on the above imports.

I call each function sequentially.  The result is that the first graph is created correctly. The second graph is flawed, and in fact shows the legend from the first function.  When I reverse the function calls, which ever graphing function is called first is ok, but second is flawed. If I call each function on it's own, within the same Python session, the graphs (both) get produced flawlessly.

both charts are bar charts; but one does a stacked bar and the other is a simple bar chart.

Why would I not be able to call the two functions sequentially?  Why does the first call interfere with the second call?

--rms

On 16:00 Fri 06.08.10, Simon Friedberger wrote:
> It is about the positioning of the rotated labels.
> The code is here:
> http://paste.pocoo.org/show/246870/
> 
> Note that in line 36 I had already remarked about the hack I used. Now I
> noticed that if the labels have different lengths rotating them gives
> different positions. What I really want to do is rotate about the bottom
> of the labels. Can that be done?

I have found a solution. I'm not sure if it's good or intended but the
following works:

for label in xax.get_ticklabels():
	label.set_rotation(45)
	label.set_horizontalalignment('left')

Please comment. Apart from that it's here for people who look for a
solution to the same question.

Best
Simon