Thanks a lot! This worked like a charm. I'll need to dig into matplotlib a lot
later,
but now I have truckloads of bugs in my code to deal with, this will speed me up
significantly.
Thank you again,
Tomislav
----- Original Message -----
From: phob...@geosyntec.com
Sent: 03/15/10 05:40 PM
To: tomislav.ma...@gmx.com, matplotlib-users@lists.sourceforge.net
Subject: RE: [Matplotlib-users] axis aspect ratio
Give this a shot:
import matplotlib.pyplot as plt
fig = pl.figure(figsize=(4,4))
ax = fig.add_sublot(1,1,1) # tweak as needed
# [plot your data]
ax.set_aspect(‘equal’)
http://matplotlib.sourceforge.net/api/axes_api.html?highlight=set_aspect#matplotlib.axes.Axes.set_aspect
http://matplotlib.sourceforge.net/api/axes_api.html?highlight=set_aspect#matplotlib.axes.Axes.set_aspect
From:tomislav_ma...@gmx.com [mailto:tomislav.ma...@gmx.com]
Sent: Monday, March 15, 2010 9:33 AM
To:matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] axis aspect ratio
Hello everyone,
I'm using matplotlib for plotting data results from numerical simulations that
involve a lot of geometric calculations.
I did read the tutorial, but I haven't been able to figure out the proper way
to set the axis aspect ratio to "1" when
numerical data is plotted.
Here is an example of my plot:
http://img715.imageshack.us/img715/9318/projections.png
http://img715.imageshack.us/img715/9318/projections.png
since I need the aspect ratio to be "1" so that I can visually inspect my
numerical code for bugs, I would really
appreciate the help.
I've loaded the data using pylab.load and I've plotted the files without using
figure or axes, just plain old
pyplot.
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