Michael Droettboom-3 wrote
> Michael Droettboom-3 wrote
> The issue I filed was related to the build problem you reported -- that
> building matplotlib with a MacPorts python is trying to use the system
> (framework) Tcl/Tk. That's completely independent of the other problem
> related to ticks,
Michael Droettboom-3 wrote
> I have opened an issue (with a fix) here:
>
> https://github.com/matplotlib/matplotlib/pull/2036
Awesome, this solved the problem I encountered.
Many thanks,
Yuan
--
View this message in context:
http://matplotlib.1069221.n5.nabble.com/missing-ticks-on-inverted
Michael Droettboom-3 wrote
> I have created https://github.com/matplotlib/matplotlib/issues/2025 to
> track this.
Hi Michael, thanks. I am somewhat convinced the problem is related to
matplotlib 1.3.x, not the Tk library. I tried on Linux that uses Tk8.5 and I
got the missing ticks for inverted l
Michael Droettboom-3 wrote
> If you use the macports version of Python, this shouldn't be a problem.
> I think the problem is (perhaps) that you're trying to use the system
> Python with packages from MacPorts?
Yes, I can confirm the system Python doesn't work with TkAgg and
matplotlib 1.3.x.
I find the issue came from the matplotlib backend. The problem is gone when
using TkAgg backend. However, TkAgg doesn't work with matplotlib 1.3.x,
which has some conflict of Tk dynamic library due to different Tk version,
i.e., macports uses Tk8.6 and Mac OSX 10.8.3 uses Tk8.5.
I really need the
Paul Hobson-2 wrote
> This works fine on my system:
> In [3]: np.version.full_version
>
> Out[3]: '1.7.1'
>
>
> In [5]: matplotlib.__version__
>
> Out[5]: '1.2.1'
>
>
> Not sure what the issue could be.
>
> -p
Hi Paul,
Thanks for the reply. I am using np version 1.7.1 and matplotlib versi
Hi, I am having troubles to correctly make a figure with inverted log axis.
This is what I am doing:
import numpy as np
import matplotlib.pyplot as plt
y=np.linspace(-90,90,20)
z=np.arange(1,1.e4, 200)
c=y.reshape(20,1)*z.reshape(1,len(z))
fig,ax=plt.subplots()
plt.pcolor(y,z,c.transpose())
ax.
