@@ -1436,7 +1436,7 @@ normTypeDifference = linear
14361436# A dictionary with keywords for the norm
14371437normArgsDifference = {' vmin' : -300., ' vmax' : 300.}
14381438# place the ticks automatically by default
1439- # colorbarTicksDifference = numpy.linspace(-2., 2., 9
1439+ # colorbarTicksDifference = numpy.linspace(-2., 2., 9)
14401440
14411441# Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct,
14421442# Nov, Dec, JFM, AMJ, JAS, OND, ANN)
@@ -1473,12 +1473,10 @@ colormapNameDifference = cmo.balance
14731473# whether the colormap is indexed or continuous
14741474colormapTypeDifference = continuous
14751475# the type of norm used in the colormap
1476- normTypeDifference = symLog
1476+ normTypeDifference = linear
14771477# A dictionary with keywords for the norm
1478- normArgsDifference = {' linthresh' : 0.1, ' linscale' : 0.5, ' vmin' : -10.,
1479- ' vmax' : 10.}
1480- colorbarTicksDifference = [-10., -3., -1., -0.3, -0.1, 0., 0.1, 0.3, 1., 3.,
1481- 10.]
1478+ normArgsDifference = {' vmin' : -10., ' vmax' : 10.}
1479+ # colorbarTicksDifference = numpy.linspace(-10., 10., 9)
14821480
14831481# Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct,
14841482# Nov, Dec, JFM, AMJ, JAS, OND, ANN)
@@ -1509,9 +1507,9 @@ colormapNameDifference = balance
15091507# whether the colormap is indexed or continuous
15101508colormapTypeDifference = indexed
15111509# color indices into colormapName for filled contours
1512- colormapIndicesDifference = numpy.array(numpy.linspace(0, 255, 9 ), int)
1510+ colormapIndicesDifference = numpy.array(numpy.linspace(0, 255, 14 ), int)
15131511# colormap levels/values for contour boundaries
1514- colorbarLevelsDifference = numpy.linspace(-2 ., 2 ., 10 )
1512+ colorbarLevelsDifference = numpy.linspace(-3 ., 3 ., 13 )
15151513
15161514# Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct,
15171515# Nov, Dec, JFM, AMJ, JAS, OND, ANN)
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