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
> To: Thomas Caswell
> Cc: Matplotlib Users
> Dat
ovides you a nice way to preallocate space 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 > wrote:
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
ts work, it might be lazily loading data for you, so the test
>> 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
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
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 draw()
pening is that you are not telling 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, Jonat
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
c
So do you want to find the particular row or column to plot
interactively? For that you should look at "Event handling and picking"
in the matplotlib docs (http://matplotlib.org/users/event_handling.html).
It shows there how to return the values of the location of mouse click
events. Once you
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 Powerpo
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 github.
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