Hi Brandon,
I notice that this is cross-posted on StackOverflow (
http://stackoverflow.com/questions/13132194/type-1-fonts-with-log-graphs).
Personally, I have no problem with cross posting, but to save two people
having to answer the same question, I would make sure it was explicit that
this had
There are a couple of alternative formatters for log scaling that don't
require mathtext.
You can do:
from matplotlib.tickers import LogFormatter, LogFormatterExponent
...
ax.xaxis.set_major_formatter(LogFormatter())
# or LogFormatterExponent(), which is just the exponent
To clarify the font
For some fun I am trying to plot a surface representation of 2D image
where the height level corresponds to the intensity at each pixel. I
have been able to change the cmap but would like to assign the original
pixel colour values (Grayscale or RGB) to corresponding in the surface
plot. Is
Hi Phil,
Next time I'll be more explicit. I added the question to SA after I tried
to get a public link to my message and saw that archives past July of this
year seem to be missing. It wasn't clear that this list was even still
alive:
On Tue, Oct 30, 2012 at 5:51 AM, Michael Droettboom md...@stsci.edu wrote:
There are a couple of alternative formatters for log scaling that don't
require mathtext.
You can do:
from matplotlib.tickers import LogFormatter, LogFormatterExponent
...
On 10/30/2012 12:25 PM, Brandon Heller wrote:
Hi Phil,
Next time I'll be more explicit. I added the question to SA after I
tried to get a public link to my message and saw that archives past
July of this year seem to be missing. It wasn't clear that this list
was even still alive:
On 2012/10/29 2:00 PM, Mike Kaufman wrote:
On 10/29/12 1:08 PM, Jody Klymak wrote:
On Oct 28, 2012, at 17:47 PM, Eric Firing efir...@hawaii.edu wrote:
cb = colorbar()
cb.solids.set_rasterized(True)
Great! Though I think it'd have taken me a while to figure that one out!
I gotta agree.
On Tuesday, October 30, 2012, Russell E. Owen wrote:
In article 508ff830.3050...@stsci.edu javascript:;,
Michael Droettboom md...@stsci.edu javascript:;
wrote:
Agreed! Thanks to everyone for their hard work. I think this has
shaped up to be a great release.
I'm fortunate to have
The third and (crossing fingers) final release candidate for matplotlib
1.2.0 has been posted.
Source tarballs and binaries for Windows and OS-X are available from the
matplotlib github download page:
https://github.com/matplotlib/matplotlib/downloads
Please try it out and report any bugs
