Viridis is in the `cm` submodule.
from matplotlib import cm
cmap = cm.viridis
On Mon, Apr 25, 2016 at 6:24 PM, Sudheer Joseph
wrote:
> Hi Paul,
>
> I tried to get the new colormap suggestion from you but could not get the
> colormap package. Where can I get it? google search did not took me to
Hi Paul,
I tried to get the new colormap suggestion from you but could not get the
colormap package. Where can I get it? google search did not took me to the
package/
Is it a development package?
May I know how to use viridis color map with an example plot?
Below is an example code from th
Thank you Paul,
Thanks for the tips related to margins and also about
colormaps. Is there a way to stop the automatic aspect ratio setting ( though
it it distors map in present case ) if I wanted to use that for other plots?
With best regards,
Sudheer
**
Yes, the left hand axis is shrinking in the vertical because it is applying the
aspect ratio appropriate for 15 N and the N/S extent of your data. Either make
the N/S extent of the map larger; make the left hand column wider; or make the
figure shorter.
Cheers, Jody
> On 25 Apr 2016, at 9:
Your basemap plot is likely setting the aspect of the axes to "equal", so
it resizes the plot accordingly. Otherwise you'd have a pretty nasty amount
of vertical distortion.
When you save the figure, using bbox_inches='tight' will trim the excess
white space from the margins:
fig.savefig('map_and_
