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_
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:
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
**
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
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
