Hello,
Aren't these two log scaling calls supposed to be performing the same
action?
Here is a simple script tested in ipython --pylab
fig = plt.figure(figsize=(5, 5))
ax1 = fig.add_subplot(1,1,1)
ax1.plot(np.random.randn(100))
ax1.xaxis.set_scale('log')
ax1.set_xscale('log')
Thanks.
--
Gökh
Frix,
It may be useful to post the version and backend you are using to the list.
import matplotlib
print matplotlib.__version__
print matplotlib.get_backend()
Also, if you can format the code as a simple self-contained example, that would
help others confirm what you are seeing.
-Sterling
On
Hello everyone,
I have two issues with my current projects:
1) I automatically generate plots of several data sets in a for-loop, all
of which have the same shape of x and y values, but some of which have two
of those data (i.e. graphs) sets per figure, others have only one.
I create the
