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SF.net SVN: matplotlib: [4429] trunk/toolkits/basemap
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From: <js...@us...> - 2007-11-23 18:07:44
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Revision: 4429
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4429&view=rev
Author: jswhit
Date: 2007-11-23 10:07:27 -0800 (Fri, 23 Nov 2007)
Log Message:
-----------
added 'sstanom' colormap.
Modified Paths:
--------------
trunk/toolkits/basemap/Changelog
trunk/toolkits/basemap/lib/matplotlib/toolkits/basemap/cm.py
Modified: trunk/toolkits/basemap/Changelog
===================================================================
--- trunk/toolkits/basemap/Changelog 2007-11-23 17:54:40 UTC (rev 4428)
+++ trunk/toolkits/basemap/Changelog 2007-11-23 18:07:27 UTC (rev 4429)
@@ -1,3 +1,5 @@
+ * added 'sstanom' colormap from
+ http://www.ghrsst-pp.org/GHRSST-PP-Data-Tools.html
version 0.9.7 (svn revision 4422)
* fixed bug in drawlsmask for 'moll','robin' and 'sinu'
projections.
Modified: trunk/toolkits/basemap/lib/matplotlib/toolkits/basemap/cm.py
===================================================================
--- trunk/toolkits/basemap/lib/matplotlib/toolkits/basemap/cm.py 2007-11-23 17:54:40 UTC (rev 4428)
+++ trunk/toolkits/basemap/lib/matplotlib/toolkits/basemap/cm.py 2007-11-23 18:07:27 UTC (rev 4429)
@@ -45,6 +45,8 @@
s3pcpn = colors.LinearSegmentedColormap('s3pcpn', _s3pcpn_data, _LUTSIZE)
s3pcpn_l = colors.LinearSegmentedColormap('s3pcpn_l', _s3pcpn_l_data, _LUTSIZE)
StepSeq = colors.LinearSegmentedColormap('StepSeq', _StepSeq_data, _LUTSIZE)
+_sstanom_data = {'blue': [(0.0, 0.858823537827, 0.858823537827), (0.0243902429938, 0.835294127464, 0.835294127464), (0.0487804859877, 0.815686285496, 0.815686285496), (0.0731707289815, 0.78823530674, 0.78823530674), (0.0975609719753, 0.819607853889, 0.819607853889), (0.12195122242, 0.882352948189, 0.882352948189), (0.146341457963, 0.945098042488, 0.945098042488), (0.170731708407, 1.0, 1.0), (0.195121943951, 1.0, 1.0), (0.219512194395, 1.0, 1.0), (0.243902444839, 1.0, 1.0), (0.268292695284, 0.886274516582, 0.886274516582), (0.292682915926, 0.745098054409, 0.745098054409), (0.31707316637, 0.603921592236, 0.603921592236), (0.341463416815, 0.51372551918, 0.51372551918), (0.365853667259, 0.552941203117, 0.552941203117), (0.390243887901, 0.588235318661, 0.588235318661), (0.414634138346, 0.623529434204, 0.623529434204), (0.43902438879, 0.658823549747, 0.658823549747), (0.463414639235, 0.694117665291, 0.694117665291), (0.487804889679, 0.729411780834, 0.729411780834), (0.512195110321, 0.717647075653, 0.717647075653), (0.536585390568, 0.658823549747, 0.658823549747), (0.56097561121, 0.603921592236, 0.603921592236), (0.585365831852, 0.537254929543, 0.537254929543), (0.609756112099, 0.380392163992, 0.380392163992), (0.634146332741, 0.227450981736, 0.227450981736), (0.658536612988, 0.0431372560561, 0.0431372560561), (0.68292683363, 0.0, 0.0), (0.707317054272, 0.0, 0.0), (0.731707334518, 0.0, 0.0), (0.756097555161, 0.0, 0.0), (0.780487775803, 0.0, 0.0), (0.804878056049, 0.0, 0.0), (0.829268276691, 0.0, 0.0), (0.853658556938, 0.145098045468, 0.145098045468), (0.87804877758, 0.309803932905, 0.309803932905), (0.902438998222, 0.478431373835, 0.478431373835), (0.926829278469, 0.529411792755, 0.529411792755), (0.951219499111, 0.333333343267, 0.333333343267), (0.975609779358, 0.168627455831, 0.168627455831), (1.0, 0.0, 0.0)], 'green': [(0.0, 0.0, 0.0), (0.0243902429938, 0.0, 0.0), (0.0487804859877, 0.0, 0.0), (0.0731707289815, 0.0, 0.0), (0.0975609719753, 0.0941176488996, 0.0941176488996), (0.12195122242, 0.235294118524, 0.235294118524), (0.146341457963, 0.380392163992, 0.380392163992), (0.170731708407, 0.521568655968, 0.521568655968), (0.195121943951, 0.662745118141, 0.662745118141), (0.219512194395, 0.827450990677, 0.827450990677), (0.243902444839, 0.96862745285, 0.96862745285), (0.268292695284, 1.0, 1.0), (0.292682915926, 1.0, 1.0), (0.31707316637, 1.0, 1.0), (0.341463416815, 1.0, 1.0), (0.365853667259, 1.0, 1.0), (0.390243887901, 1.0, 1.0), (0.414634138346, 1.0, 1.0), (0.43902438879, 0.933333337307, 0.933333337307), (0.463414639235, 0.86274510622, 0.86274510622), (0.487804889679, 0.792156875134, 0.792156875134), (0.512195110321, 0.792156875134, 0.792156875134), (0.536585390568, 0.86274510622, 0.86274510622), (0.56097561121, 0.933333337307, 0.933333337307), (0.585365831852, 0.996078431606, 0.996078431606), (0.609756112099, 0.92549020052, 0.92549020052), (0.634146332741, 0.854901969433, 0.854901969433), (0.658536612988, 0.772549033165, 0.772549033165), (0.68292683363, 0.701960802078, 0.701960802078), (0.707317054272, 0.631372570992, 0.631372570992), (0.731707334518, 0.556862771511, 0.556862771511), (0.756097555161, 0.470588237047, 0.470588237047), (0.780487775803, 0.329411774874, 0.329411774874), (0.804878056049, 0.160784319043, 0.160784319043), (0.829268276691, 0.0196078438312, 0.0196078438312), (0.853658556938, 0.0, 0.0), (0.87804877758, 0.0, 0.0), (0.902438998222, 0.0, 0.0), (0.926829278469, 0.0, 0.0), (0.951219499111, 0.0, 0.0), (0.975609779358, 0.0, 0.0), (1.0, 0.0, 0.0)], 'red': [(0.0, 0.419607847929, 0.419607847929), (0.0243902429938, 0.478431373835, 0.478431373835), (0.0487804859877, 0.541176497936, 0.541176497936), (0.0731707289815, 0.611764729023, 0.611764729023), (0.0975609719753, 0.51372551918, 0.51372551918), (0.12195122242, 0.333333343267, 0.333333343267), (0.146341457963, 0.152941182256, 0.152941182256), (0.170731708407, 0.0, 0.0), (0.195121943951, 0.0, 0.0), (0.219512194395, 0.0, 0.0), (0.243902444839, 0.0, 0.0), (0.268292695284, 0.113725490868, 0.113725490868), (0.292682915926, 0.254901975393, 0.254901975393), (0.31707316637, 0.40000000596, 0.40000000596), (0.341463416815, 0.521568655968, 0.521568655968), (0.365853667259, 0.603921592236, 0.603921592236), (0.390243887901, 0.678431391716, 0.678431391716), (0.414634138346, 0.749019622803, 0.749019622803), (0.43902438879, 0.752941191196, 0.752941191196), (0.463414639235, 0.749019622803, 0.749019622803), (0.487804889679, 0.749019622803, 0.749019622803), (0.512195110321, 0.792156875134, 0.792156875134), (0.536585390568, 0.86274510622, 0.86274510622), (0.56097561121, 0.933333337307, 0.933333337307), (0.585365831852, 1.0, 1.0), (0.609756112099, 1.0, 1.0), (0.634146332741, 1.0, 1.0), (0.658536612988, 1.0, 1.0), (0.68292683363, 1.0, 1.0), (0.707317054272, 1.0, 1.0), (0.731707334518, 1.0, 1.0), (0.756097555161, 1.0, 1.0), (0.780487775803, 1.0, 1.0), (0.804878056049, 1.0, 1.0), (0.829268276691, 1.0, 1.0), (0.853658556938, 0.964705884457, 0.964705884457), (0.87804877758, 0.92549020052, 0.92549020052), (0.902438998222, 0.890196084976, 0.890196084976), (0.926829278469, 0.827450990677, 0.827450990677), (0.951219499111, 0.705882370472, 0.705882370472), (0.975609779358, 0.603921592236, 0.603921592236), (1.0, 0.501960813999, 0.501960813999)]}
+sstanom = colors.LinearSegmentedColormap('sstanom', _sstanom_data, _LUTSIZE)
datad={}
datad['GMT_drywet']=_GMT_drywet_data
datad['GMT_gebco']=_GMT_gebco_data
@@ -61,6 +63,7 @@
datad['s3pcpn']=_s3pcpn_data
datad['s3pcpn_l']=_s3pcpn_l_data
datad['StepSeq']=_StepSeq_data
+datad['sstanom']=_sstanom_data
# reverse all the colormaps.
# reversed colormaps have '_r' appended to the name.
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