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mycmaps.py
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from matplotlib.colors import LinearSegmentedColormap
import matplotlib.pyplot as plt
def jetloop(i,nloops):
'''
input: i - counter, nloops - number of loops
example:
plt.plot(reghold[0,il],pressure,color=jet(il,n_bands))
'''
N_jet = plt.cm.jet.N
colornum = plt.cm.jet_r((N_jet*i/(nloops-1)))
return colornum
def whitejet(n=256):
cdict = {'red':(
(0.00, 0.0, 0.0),
(0.35, 0.0, 0.0),
(0.45, 1.0, 1.0),
(0.50, 1.0, 1.0),
(0.55, 1.0, 1.0),
(0.60, 0.9, 0.9),
(0.89, 1.0, 1.0),
(1, 0.5, 0.5)),
'green':(
(0.00, 0.0, 0.0),
(0.13, 0.0, 0.0),
(0.43, 1.0, 1.0),
(0.45, 1.0, 1.0),
(0.50, 1.0, 1.0),
(0.55, 1.0, 1.0),
(0.60, 0.9, 0.9),
(0.91, 0.0, 0.0),
(1, 0.0, 0.0)),
'blue':(
(0.00, 0.4, 0.4),
(0.11, 1.0, 1.0),
(0.34, 0.6, 0.6),
(0.45, 1.0, 1.0),
(0.50, 1.0, 1.0),
(0.55, 1.0, 1.0),
(0.60, 0.0, 0.0),
(1, 0.0, 0.0))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def jetwhite(n=256):
cdict = {'red':(
(0.00, 0.0, 0.0),
(0.35, 0.0, 0.0),
(0.50, 1.0, 1.0),
(0.60, 0.9, 0.9),
(0.89, 1.0, 1.0),
(1, 0.5, 0.5)),
'green':(
(0.00, 0.0, 0.0),
(0.13, 0.0, 0.0),
(0.43, 1.0, 1.0),
(0.50, 1.0, 1.0),
(0.60, 0.9, 0.9),
(0.91, 0.0, 0.0),
(1, 0.0, 0.0)),
'blue':(
(0.00, 0.4, 0.4),
(0.11, 1.0, 1.0),
(0.34, 0.6, 0.6),
(0.50, 1.0, 1.0),
(0.60, 0.0, 0.0),
(1, 0.0, 0.0))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def jetwhite_r(n=256):
cdict = {'red':(
(0.00, 0.5, 0.5),
(0.11, 1.0, 1.0),
(0.40, 0.9, 0.9),
(0.50, 1.0, 1.0),
(0.65, 0.0, 0.0),
(1.00, 0.0, 0.0)),
'green':(
(0.00, 0.0, 0.0),
(0.09, 0.0, 0.0),
(0.40, 0.9, 0.9),
(0.50, 1.0, 1.0),
(0.57, 1.0, 1.0),
(0.87, 0.0, 0.0),
(1.00, 0.0, 0.0)),
'blue':(
(0.00, 0.0, 0.0),
(0.40, 0.0, 0.0),
(0.50, 1.0, 1.0),
(0.66, 0.6, 0.6),
(0.89, 1.0, 1.0),
(1.00, 0.4, 0.4))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def whiterjet(n=16):
cdict = {'red':(
(0.00, 0.0, 0.0),
(0.35, 0.0, 0.0),
(0.50, 1.0, 1.0),
(0.66, 1.0, 1.0),
(0.89, 1.0, 1.0),
(1, 0.5, 0.5)),
'green':(
(0.00, 0.0, 0.0),
(0.13, 0.0, 0.0),
(0.33, 1.0, 1.0),
(0.50, 1.0, 1.0),
(0.64, 1.0, 1.0),
(0.91, 0.0, 0.0),
(1, 0.0, 0.0)),
'blue':(
(0.00, 0.5, 0.5),
(0.11, 1.0, 1.0),
(0.34, 1.0, 1.0),
(0.50, 1.0, 1.0),
(0.65, 0.0, 0.0),
(1, 0.0, 0.0))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def hsv_white(n=256):
cdict = {'red': ((0., 1., 1.),
(0.158730, 1.000000, 1.000000),
(0.174603, 0.968750, 0.968750),
(0.333333, 0.031250, 0.031250),
(0.349206, 0.000000, 0.000000),
(0.5, 1.000000, 1.000000),
(0.666667, 0.000000, 0.000000),
(0.682540, 0.031250, 0.031250),
(0.841270, 0.968750, 0.968750),
(0.857143, 1.000000, 1.000000),
(1.0, 1.0, 1.0)),
'green': ((0., 0., 0.),
(0.158730, 0.937500, 0.937500),
(0.174603, 1.000000, 1.000000),
(0.5, 1.000000, 1.000000),
(0.507937, 1.000000, 1.000000),
(0.666667, 0.062500, 0.062500),
(0.682540, 0.000000, 0.000000),
(1.0, 0., 0.)),
'blue': ((0., 0., 0.),
(0.333333, 0.000000, 0.000000),
(0.349206, 0.062500, 0.062500),
(0.5, 1.000000, 1.000000),
(0.507937, 1.000000, 1.000000),
(0.841270, 1.000000, 1.000000),
(0.857143, 0.937500, 0.937500),
(1.0, 0.09375, 0.09375))}
return LinearSegmentedColormap('my_colormap',cdict,256)
def wetdry(n=256):
cdict = {'blue':(
(0.0, 0.01, 0.01),
(0.1, 0.03, 0.03),
(0.2, 0.17, 0.17),
(0.3, 0.29, 0.29),
(0.4, 0.26, 0.26),
(0.5, 1.00, 1.00),
(0.6, 0.59, 0.59),
(0.7, 0.65, 0.65),
(0.8, 0.56, 0.56),
(0.9, 0.36, 0.36),
(1.0, 0.18, 0.18)),
'green': (
(0.0, 0.18, 0.18),
(0.1, 0.31, 0.31),
(0.2, 0.50, 0.50),
(0.3, 0.86, 0.86),
(0.4, 0.90, 0.90),
(0.5, 1.00, 1.00),
(0.6, 0.71, 0.71),
(0.7, 0.80, 0.80),
(0.8, 0.59, 0.59),
(0.9, 0.40, 0.40),
(1.0, 0.23, 0.23)),
'red': (
(0.0, 0.42, 0.42),
(0.1, 0.54, 0.54),
(0.2, 0.74, 0.74),
(0.3, 0.67, 0.67),
(0.4, 0.46, 0.46),
(0.5, 1.00, 1.00),
(0.6, 0.48, 0.48),
(0.7, 0.50, 0.50),
(0.8, 0.20, 0.20),
(0.9, 0.00, 0.00),
(1.0, 0.0, 0.0))}
return LinearSegmentedColormap('my_colormap',cdict,n)
blue1, blue2, blue3, blue4, blue5 = ['#EAF4FF', '#DFEFFF', '#BFDFFF', '#95CAFF', '#55AAFF']
blue6, blue7, blue8, blue9, blue10 = ['#0B85FF', '#006AD5', '#004080', '#002B55', '#001B35']
brown1, brown2, brown3, brown4, brown5 = ['#FFFAEA', '#FFF8DF', '#FFEFBF', '#FFE495', '#FFD555']
brown6, brown7, brown8, brown9, brown10 = ['#FFC20B', '#D59F00', '#806000', '#554000', '#352800']
hot1, hot2, hot3, hot4, hot5 = ['#FFFFEA', '#FFFFDF', '#FFFF95', '#FFFF0B', '#FFAA0B']
hot6, hot7, hot8, hot9, hot10 = ['#FF660B', '#FF0B0B', '#800000', '#550000', '#350000']
red1, red2, red3, red4, red5 = ['#FFEAEA', '#FFDFDF', '#FFBFBF', '#FF9595', '#FF5555']
red6, red7, red8, red9, red10 = ['#FF0B0B', '#D50000', '#800000', '#550000', '#350000']
green1, green2, green3, green4, green5, = ['#F4FFEA', '#EFFFDF', '#DFFFBF', '#CAFF95', '#AAFF55']
green6, green7, green8, green9, green10 = ['#85FF0B', '#6AD500', '#408000', '#2B5500', '#1B3500']
purple1, purple2, purple3, purple4, purple5 = ['#F4EAFF', '#EFDFFF', '#DFBFFF', '#CA95FF', '#AA55FF']
purple6, purple7, purple8, purple9, purple10 = ['#850BFF', '#6A00D5', '#400080', '#2B0055', '#1B0035']
grey1, grey2, grey3, grey4, grey5, grey6 = ['#FFFFFF', '#EBEBEB', '#E6E6E6', '#DCDCDC', '#D2D2D2', '#CCCCCC']
grey7, grey8, grey9, grey10, grey11, grey12 = ['#787878', '#666666', '#4B4B4B', '#333333', '#1E1E1E', '#000000']
jet0, jet1, jet2, jet3, jet4, jet5, jet6 = ['#001B35', '#000080', '#0000D5', '#006AD5', '#55AAFF', '#55FFFF', '#55FFAA']
jet7, jet8, jet9, jet10, jet11, jet12 = ['#D5FF55', '#FFD555', '#FF850B', '#D51B00', '#800000', '#350000']
IPCCrain1, IPCCrain2, IPCCrain3, IPCCrain4, IPCCrain5, IPCCrain6 = ['#FFF295', '#FFD555', '#FF850B', '#D55000', '#D50000', '#550040']
IPCCrain7, IPCCrain8, IPCCrain9, IPCCrain10, IPCCrain11, IPCCrain12 = ['#600080', '#000080', '#0000D5', '#0B85FF', '#55AAFF', '#95CAFF']
def _generate_colourmap(colourmap, nsegs):
"""Return a discrete colormap from the continuous colormap,
according to the number of segments (nsegs)."""
segs = []
for i in range(0, nsegs):
c = colourmap(float(float(i)/float(nsegs)), 1)
segs.append(c)
colourmap = matplotlib.colors.ListedColormap(segs[:], 'indexed')
return colourmap
def drywet(n=256):
cdict = {'blue': [(0.0, 0.164705887437, 0.164705887437), (0.20000000298, 0.392156869173, 0.392156869173), (0.40000000596, 0.529411792755, 0.529411792755), (0.600000023842, 0.921568632126, 0.921568632126), (0.800000011921, 0.933333337307, 0.933333337307), (1.0, 0.317647075653, 0.317647075653)],
'green': [(0.0, 0.280392163992, 0.280392163992), (0.20000000298, 0.780392169952, 0.780392169952), (0.40000000596, 0.933333337307, 0.933333337307), (0.600000023842, 0.933333337307, 0.933333337307), (0.800000011921, 0.470588237047, 0.470588237047), (1.0, 0.00392156885937, 0.00392156885937)],
'red': [(0.0, 0.425490224361, 0.425490224361), (0.20000000298, 0.933333337307, 0.933333337307), (0.40000000596, 0.705882370472, 0.705882370472), (0.600000023842, 0.196078434587, 0.196078434587), (0.800000011921, 0.0470588244498, 0.0470588244498), (1.0, 0.149019613862, 0.149019613862)]}
return LinearSegmentedColormap('my_colormap',cdict,n)
def drywet2(n=256):
cdict = {'blue': [(0.0, 0.164705887437, 0.164705887437), (0.20000000298, 0.392156869173, 0.392156869173), (0.40000000596, 0.529411792755, 0.529411792755), (0.50, 1.00, 1.00), (0.600000023842, 0.921568632126, 0.921568632126), (0.800000011921, 0.933333337307, 0.933333337307), (1.0, 0.317647075653, 0.317647075653)],
'green': [(0.0, 0.280392163992, 0.280392163992), (0.20000000298, 0.780392169952, 0.780392169952), (0.40000000596, 0.933333337307, 0.933333337307), (0.50, 1.00, 1.00), (0.600000023842, 0.933333337307, 0.933333337307), (0.800000011921, 0.470588237047, 0.470588237047), (1.0, 0.00392156885937, 0.00392156885937)],
'red': [(0.0, 0.425490224361, 0.425490224361), (0.20000000298, 0.933333337307, 0.933333337307), (0.40000000596, 0.705882370472, 0.705882370472), (0.50, 1.00, 1.00), (0.600000023842, 0.196078434587, 0.196078434587), (0.800000011921, 0.0470588244498, 0.0470588244498), (1.0, 0.149019613862, 0.149019613862)]}
return LinearSegmentedColormap('my_colormap',cdict,n)
"""
def drywet_2(n=256):
cdict = {'blue':
((0.0, 0.164705887437, 0.164705887437),
(0.20000000298, 0.392156869173, 0.392156869173),
(0.20000000298, 0.392156869173, 0.392156869173),
(0.40000000596, 0.529411792755, 0.529411792755),
(0.50, 1.00, 1,00),
(0.600000023842, 0.921568632126, 0.921568632126),
(0.800000011921, 0.933333337307, 0.933333337307),
(1.0, 0.317647075653, 0.317647075653)),
'green':
((0.0, 0.280392163992, 0.280392163992),
(0.20000000298, 0.780392169952, 0.780392169952),
(0.40000000596, 0.933333337307, 0.933333337307),
(0.50, 1.00, 1,00),
(0.600000023842, 0.933333337307, 0.933333337307),
(0.800000011921, 0.470588237047, 0.470588237047),
(1.0, 0.00392156885937, 0.00392156885937)),
'red':
((0.0, 0.425490224361, 0.425490224361),
(0.20000000298, 0.933333337307, 0.933333337307),
(0.40000000596, 0.705882370472, 0.705882370472),
(0.50, 1.00, 1,00),
(0.600000023842, 0.196078434587, 0.196078434587),
(0.800000011921, 0.0470588244498, 0.0470588244498),
(1.0, 0.149019613862, 0.149019613862))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def threebit(n=8):
cdict = {'red': ( (0.000, 0.75, 0.75), # grey
(0.124, 0.75, 0.75),
(0.125, 0.00, 0.00), # blue
(0.249, 0.00, 0.00),
(0.250, 1.00, 1.00), # white
(0.374, 1.00, 1.00),
(0.375, 1.00, 1.00), # red
(0.499, 1.00, 1.00),
(0.500, 0.00, 0.00), # green
(0.624, 0.00, 0.00),
(0.625, 1.00, 1.00), # yellow
(0.749, 1.00, 1.00),
(0.750, 1.00, 1.00), # magenta
(0.874, 1.00, 1.00),
(0.875, 0.00, 0.00), # cyan
(1.000, 0.00, 0.00)),
'green': ((0.000, 0.75, 0.75),
(0.124, 0.75, 0.75),
(0.125, 0.00, 0.00), # blue
(0.249, 0.00, 0.00),
(0.250, 1.00, 1.00), # white
(0.374, 1.00, 1.00),
(0.375, 0.00, 0.00), # red
(0.499, 0.00, 0.00),
(0.500, 1.00, 1.00), # green
(0.624, 1.00, 1.00),
(0.625, 1.00, 1.00), # yellow
(0.749, 1.00, 1.00),
(0.750, 0.00, 0.00), # magenta
(0.874, 0.00, 0.00),
(0.875, 1.00, 1.00), # cyan
(1.000, 1.00, 1.00)),
'blue': ( (0.000, 0.75, 0.75),
(0.124, 0.75, 0.75),
(0.125, 1.00, 1.00), # blue
(0.249, 1.00, 1.00),
(0.250, 1.00, 1.00), # white
(0.374, 1.00, 1.00),
(0.375, 0.00, 0.00), # red
(0.499, 0.00, 0.00),
(0.500, 0.00, 0.00), # green
(0.624, 0.00, 0.00),
(0.625, 0.00, 0.00), # yellow
(0.749, 0.00, 0.00),
(0.750, 1.00, 1.00), # magenta
(0.874, 1.00, 1.00),
(0.875, 1.00, 1.00), # cyan
(1.000, 1.00, 1.00))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def twobit(n=4):
# cdict = {'red': ( (0.000, 0.75, 0.00),
# (0.333, 1.00, 1.00),
# (0.666, 1.00, 1.00),
# (1.000, 0.00, 0.00)),
# 'green': ((0.000, 0.75, 0.00),
# (0.333, 1.00, 1.00),
# (0.666, 0.00, 0.00),
# (1.000, 0.00, 0.00)),
# 'blue': ( (0.000, 0.75, 0.00),
# (0.333, 1.00, 1.00),
# (0.666, 1.00, 1.00),
# (1.000, 1.00, 1.00))}
cdict = {'red': ( (0.000, 0.75, 0.75),
(0.249, 0.75, 0.75),
(0.250, 1.00, 1.00),
(0.499, 1.00, 1.00),
(0.500, 0.00, 0.00),
(0.749, 0.00, 0.00),
(0.750, 1.00, 1.00),
(1.000, 1.00, 1.00)),
'green': ((0.000, 0.75, 0.75),
(0.249, 0.75, 0.75),
(0.250, 0.00, 0.00),
(0.499, 0.00, 0.00),
(0.500, 1.00, 1.00),
(0.749, 1.00, 1.00),
(0.750, 1.00, 1.00),
(1.000, 1.00, 1.00)),
'blue': ( (0.000, 0.75, 0.75),
(0.249, 0.75, 0.75),
(0.250, 0.00, 0.00),
(0.499, 0.00, 0.00),
(0.500, 0.00, 0.00),
(0.749, 0.00, 0.00),
(0.750, 1.00, 1.00),
(1.000, 1.00, 1.00))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def gaussian(n=16):
cdict = {'red': (\
(0.0000, 0.00, 0.00),\
(0.0005, 0.00, 0.00),\
(0.0016, 0.00, 0.00),\
(0.0050, 0.00, 0.00),\
(0.0158, 0.00, 0.00),\
(0.0500, 0.00, 0.00),\
(0.1581, 0.16, 0.16),\
(0.5000, 0.37, 0.37),\
(0.8419, 0.59, 0.59),\
(0.9500, 0.81, 0.81),\
(0.9842, 1.00, 1.00),\
(0.9950, 1.00, 1.00),\
(0.9984, 1.00, 1.00),\
(0.9995, 1.00, 1.00),\
(1.0000, 0.80, 0.80)),\
'green': (\
(0.0000, 0.00, 0.00),\
(0.0005, 0.00, 0.00),\
(0.0016, 0.03, 0.03),\
(0.0050, 0.30, 0.30),\
(0.0158, 0.56, 0.56),\
(0.0500, 0.83, 0.83),\
(0.1581, 1.00, 1.00),\
(0.5000, 1.00, 1.00),\
(0.8419, 1.00, 1.00),\
(0.9500, 1.00, 1.00),\
(0.9842, 0.90, 0.90),\
(0.9950, 0.65, 0.65),\
(0.9984, 0.40, 0.40),\
(0.9995, 0.16, 0.16),\
(1.0000, 0.00, 0.00)),\
'blue': (\
(0.0000, 0.50, 0.50),\
(0.0005, 0.80, 0.80),\
(0.0016, 1.00, 1.00),\
(0.0050, 1.00, 1.00),\
(0.0158, 1.00, 1.00),\
(0.0500, 1.00, 1.00),\
(0.1581, 0.80, 0.80),\
(0.5000, 0.59, 0.59),\
(0.8419, 0.38, 0.38),\
(0.9500, 0.16, 0.16),\
(0.9842, 0.00, 0.00),\
(0.9950, 0.00, 0.00),\
(0.9984, 0.00, 0.00),\
(0.9995, 0.00, 0.00),\
(1.0000, 0.00, 0.00)),\
}
return LinearSegmentedColormap('gaussian',cdict,n)
def cooling_log(n=16):
cdict = {'red': ( (0.000, 1.00, 1.00),
(0.003, 0.50, 0.50),
(0.010, 0.50, 0.50),
(0.032, 1.00, 1.00),
(0.100, 1.00, 1.00),
(0.316, 1.00, 1.00),
(1.000, 0.00, 0.00)),
'green': ((0.000, 1.00, 1.00),
(0.003, 1.00, 1.00),
(0.010, 1.00, 1.00),
(0.032, 1.00, 1.00),
(0.100, 0.50, 0.50),
(0.316, 0.00, 0.00),
(1.000, 0.00, 0.00)),
'blue': ( (0.000, 1.00, 1.00),
(0.003, 1.00, 1.00),
(0.010, 0.00, 0.00),
(0.032, 0.00, 0.00),
(0.100, 0.00, 0.00),
(0.316, 0.00, 0.00),
(1.000, 0.00, 0.00))}
return LinearSegmentedColormap('cooling_log',cdict,n)
def cooling(n=16):
cdict = {'red': ( (0.000, 1.00, 1.00),
(0.166, 0.50, 0.50),
(0.333, 0.50, 0.50),
(0.500, 1.00, 1.00),
(0.666, 1.00, 1.00),
(0.833, 1.00, 1.00),
(1.000, 0.00, 0.00)),
'green': ((0.000, 1.00, 1.00),
(0.166, 1.00, 1.00),
(0.333, 1.00, 1.00),
(0.500, 1.00, 1.00),
(0.666, 0.50, 0.50),
(0.833, 0.00, 0.00),
(1.000, 0.00, 0.00)),
'blue': ( (0.000, 1.00, 1.00),
(0.166, 1.00, 1.00),
(0.333, 0.00, 0.00),
(0.500, 0.00, 0.00),
(0.666, 0.00, 0.00),
(0.833, 0.00, 0.00),
(1.000, 0.00, 0.00))}
return LinearSegmentedColormap('cooling',cdict,n)
def cooling_r(n=16):
cdict = {'red': (\
(0.000, 1.00, 1.00),\
(0.166, 1.00, 1.00),\
(0.333, 1.00, 1.00),\
(0.500, 1.00, 1.00),\
(0.666, 0.50, 0.50),\
(0.833, 0.50, 0.50),\
(1.000, 0.00, 0.00)),\
'green': (\
(0.000, 0.00, 0.00),\
(0.166, 0.00, 0.00),\
(0.333, 0.50, 0.50),\
(0.500, 1.00, 1.00),\
(0.666, 1.00, 1.00),\
(0.833, 1.00, 1.00),\
(1.000, 1.00, 1.00)),\
'blue': (\
(0.000, 0.00, 0.00),\
(0.166, 0.00, 0.00),\
(0.333, 0.00, 0.00),\
(0.500, 0.00, 0.00),\
(0.666, 0.00, 0.00),\
(0.833, 1.00, 1.00),\
(1.000, 1.00, 1.00))}
return LinearSegmentedColormap('cooling_r',cdict,n)
def blu2redVwhite(n=16):
cdict = {'red': ( (0.000, 1.00, 1.00),
(0.500, 1.00, 1.00),
(1.000, 0.00, 0.00)),
'green': ((0.000, 0.00, 0.00),
(0.500, 1.00, 1.00),
(1.000, 0.00, 0.00)),
'blue': ( (0.000, 0.00, 0.00),
(0.500, 1.00, 1.00),
(1.000, 1.00, 1.00))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def monochrome_r(n=16,cmin=0.,cmax=1.):
ctuple=(\
(0.000, cmin, cmin),\
(1.000, cmax, cmax)\
)
cdict = {'red':ctuple ,\
'green':ctuple ,\
'blue':ctuple ,\
}
return LinearSegmentedColormap('my_colormap',cdict,n)
def frenchflag(n=16):
cdict = {'red': ( (0.000, 1.00, 1.00),
(0.450, 1.00, 1.00),
(0.500, 1.00, 1.00),
(0.550, 1.00, 1.00),
(1.000, 0.00, 0.00)),
'green': ((0.000, 0.00, 0.00),
(0.450, 1.00, 1.00),
(0.500, 1.00, 1.00),
(0.550, 1.00, 1.00),
(1.000, 0.00, 0.00)),
'blue': ( (0.000, 0.00, 0.00),
(0.450, 1.00, 1.00),
(0.500, 1.00, 1.00),
(0.550, 1.00, 1.00),
(1.000, 1.00, 1.00))}
return LinearSegmentedColormap('my_colormap',cdict,n)
def olive_fade():
cdict = {'red': ( (0.000, 1.00, 1.00),
(0.166, 1.00, 1.00),
(0.333, 0.00, 0.00),
(0.500, 0.00, 0.00),
(0.666, 0.00, 0.00),
(0.833, 0.10, 0.10),
(1.000, 0.00, 0.00)),
'green': ((0.000, 1.00, 1.00),
(0.166, 1.00, 1.00),
(0.333, 1.00, 1.00),
(0.500, 1.00, 1.00),
(0.666, 0.00, 0.00),
(0.833, 0.30, 0.30),
(1.000, 0.00, 0.00)),
'blue': ( (0.000, 1.00, 1.00),
(0.166, 0.00, 0.00),
(0.333, 0.00, 0.00),
(0.500, 1.00, 1.00),
(0.666, 1.00, 1.00),
(0.833, 0.10, 0.10),
(1.000, 0.00, 0.00))}
return LinearSegmentedColormap('my_colormap',cdict,256)
"""