I second that motion and would especially like it if the default color
cycle were longer than the current one (7 colors).
Jon
On Wed, Jul 22, 2015 at 4:30 AM,
matplotlib-users-requ...@lists.sourceforge.net wrote:
From: Thomas Robitaille thomas.robitai...@gmail.com
To: Thomas Caswell
for colorbars in different
ways:
http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html?highlight=axes_grid1#axes-grid1
I hope that helps!
Ben Root
On Thu, Dec 11, 2014 at 1:49 PM, Slavin, Jonathan jsla...@cfa.harvard.edu
wrote:
Hi,
I'm trying to make a plot with four panes (2x2
Hi,
I'm trying to make a plot with four panes (2x2). The two on top are
images, created with pcolormesh, while the ones on the bottom are line
plots. I'd like to the axes to line up -- which they do -- but when I add
a colorbar to the top right, it steals space from the image plot. I only
need
Hi all,
In my work lately I have often wanted to browse through a series of
images. This means displaying the image(s), looking at it/them and then
continuing. I have coded this in a few different ways, but it is generally
pretty slow -- which is to say that the image display takes more than a
the image to redraw, so you
are only seeing it refresh for other reasons. Try adding a fig.draw() call
prior to the raw_input() call.
Cheers!
Ben Root
On Tue, Oct 14, 2014 at 10:03 AM, Slavin, Jonathan
jsla...@cfa.harvard.edu wrote:
Hi all,
In my work lately I have often wanted to browse
Hmm. I just saw that you suggest fig.draw(). Is there a difference with
plt.draw()?
Jon
On Tue, Oct 14, 2014 at 11:20 AM, Slavin, Jonathan jsla...@cfa.harvard.edu
wrote:
Hi Ben,
Sorry, in my little example, I left out a few things. I do update first
after the first call. And I do call
without the display of the images might not actually be loading any data
into memory.
Ben Root
On Tue, Oct 14, 2014 at 11:22 AM, Slavin, Jonathan
jsla...@cfa.harvard.edu wrote:
Hmm. I just saw that you suggest fig.draw(). Is there a difference
with plt.draw()?
Jon
On Tue, Oct 14
Another alternative, if a vector graphics format doesn't work, is to make
your png figure large. Then when you shrink it down to fit in your slide,
it should still have good resolution.
Jon
On Mon, Apr 21, 2014 at 10:13 AM,
matplotlib-users-requ...@lists.sourceforge.net wrote:
No
I think what the responders have in mind is simply outputting files in a
different format, e.g. png, which is rasterized. One alternative you might
consider is using code written by Tom Robataille called rasterized_scatter.
It automatically rasterizes your data points. You can find it on
