[Matplotlib-users] basemap: pcolormesh plot is blank; pcolor plot works

2014-12-08 Thread Timothy W. Hilton
Hello, I am experiencing strange behavior using mpl_toolkits.basemap.Basemap. My understanding is that pcolormesh is faster than pcolor, and thus preferable. Here is a minimal example (below) where I get a different plot from pcolormesh than from pcolor. On two systems (mac os x 10.9.5; Ubuntu 1

Re: [Matplotlib-users] fill_between issue

2014-12-08 Thread Ryan Nelson
Final update. I've done some more searching, and found a couple more things. It seems that this problem occurs with the backend set to "Agg" (`matplotlib.use("agg")), so it isn't related to the interactive backends. In addition, the problem does not occur with a random Polygon object added to an a

Re: [Matplotlib-users] fill_between issue

2014-12-08 Thread Ryan Nelson
Update 2. I made a new Anaconda Python 2.7 environment and cycled through some different MPL versions. Everything works as I would expect in 1.4.0; however, moving to 1.4.1 is when the problem occurs. I see this same problem if I do the OO commands instead of pyplot. import numpy as np import mat

Re: [Matplotlib-users] fill_between issue

2014-12-08 Thread Ryan Nelson
Update. This is a problem also in Anaconda Py3.4 with MPL 1.4.2, but it works without a problem on MPL 1.4.0. Ryan On Mon, Dec 8, 2014 at 12:15 PM, Ryan Nelson wrote: > Hello all, > > I'm having an issue with fill_between. It seems that setting the keyword > `linewidth=0` removes the entire pa

Re: [Matplotlib-users] error import matplotlib.pyplot

2014-12-08 Thread ahtos
zypper ~ apt-get It did install binaries from a Novell repository. I checked for previous installed and I could not find anything. cheers -- View this message in context: http://matplotlib.1069221.n5.nabble.com/error-import-matplotlib-pyplot-tp44297p44572.html Sent from the matplotlib - users

[Matplotlib-users] fill_between issue

2014-12-08 Thread Ryan Nelson
Hello all, I'm having an issue with fill_between. It seems that setting the keyword `linewidth=0` removes the entire patch, rather than the just the bounding lines. Example: import numpy as np import matplotlib.pyplot as plt x = np.linspace(0, 2*np.pi, 1000) y = np.sin(x) plt.fill_between(