I came across this website where different colormaps have been compared
and the author has come up with an optimal colormap for data
visualization called the "cool-warm colormap".
http://www.cs.unm.edu/~kmorel/documents/ColorMaps/index.html
It is somewhat similar to the cool colormap already included in
matplotlib, but I've added the new colormap to matplotlib in the patch
attached in case it is deemed fit to be included in the matplotlib source.
Regards,
Sameer
>From ab71cc83f2e469169d6c392e055ba07b15cadcb4 Mon Sep 17 00:00:00 2001
From: Sameer Grover <sameer.grove...@gmail.com>
Date: Mon, 18 Jul 2011 22:26:53 +0530
Subject: [PATCH] added coolwarm colormap
---
lib/matplotlib/_cm.py | 781 +++++++++++++++++++++++++++++++++++++++++++++++++
1 files changed, 781 insertions(+), 0 deletions(-)
diff --git a/lib/matplotlib/_cm.py b/lib/matplotlib/_cm.py
index 5bea519..6964c07 100644
--- a/lib/matplotlib/_cm.py
+++ b/lib/matplotlib/_cm.py
@@ -1566,6 +1566,786 @@ _gist_yarg_data = {
'blue': lambda x: 1 - x,
}
+
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+) }
+
+
datad = {
'afmhot': _afmhot_data,
'autumn': _autumn_data,
@@ -1637,4 +2417,5 @@ datad['gist_ncar']=_gist_ncar_data
datad['gist_rainbow']=_gist_rainbow_data
datad['gist_stern']=_gist_stern_data
datad['gist_yarg']=_gist_yarg_data
+datad['coolwarm']=_coolwarm_data
--
1.7.4.1
------------------------------------------------------------------------------
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