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 the link you send
'''
For each colormap, plot the lightness parameter L* from CIELAB colorspace
along the y axis vs index through the colormap. Colormaps are examined in
categories as in the original matplotlib gallery of colormaps.
'''
from colormaps import cmaps
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
import matplotlib as mpl
from colorspacious import cspace_converter
*************************************************************** Sudheer Joseph
Indian National Centre for Ocean Information Services Ministry of Earth
Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi
Nagar,Kukatpally, Hyderabad; Pin:5000 55
Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
E-mail:[email protected];[email protected] Web-
http://oppamthadathil.tripod.com
***************************************************************
--------------------------------------------
On Mon, 25/4/16, Paul Hobson <[email protected]> wrote:
Subject: Re: [Matplotlib-users] subplot layout
To: "Sudheer Joseph" <[email protected]>
Cc: "Matplotlib Users" <[email protected]>
Date: Monday, 25 April, 2016, 4:33 PM
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_bars.png',
dpi=600, bbox_inches='tight')
Also, you should try the new viridis
color map :)
http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous
On Mon, Apr 25, 2016 at
9:05 AM, Sudheer Joseph <[email protected]>
wrote:
Hi,
I am looking for a layout as seen in the
empty layout attached which is produced using
figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
However when I use it for getting attached second figure the
layout gets modified as seen in attached figure 2.
fig = p.figure(figsize=(20,8))
ax=p.subplot(121)
ax1=p.subplot(222)
ax2=p.subplot(224)
Can any one suggest a way to get figure exactly as the empty
layout?
With best regards,
Sudheer
***************************************************************
Sudheer Joseph Indian National Centre for Ocean
Information Services Ministry of Earth Sciences, Govt. of
India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi
Nagar,Kukatpally, Hyderabad; Pin:5000 55
Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
E-mail:[email protected];[email protected]
Web- http://oppamthadathil.tripod.com
***************************************************************
------------------------------------------------------------------------------
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