如何用Colormaps在Matplotlib中设置线条颜色?

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如何用Colormaps在Matplotlib中设置线条颜色?

fig = plt.figure()
ax = fig.add_subplot(111)
jet = colors.Colormap('jet')
cNorm  = colors.Normalize(vmin=0, vmax=values[-1])
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)
lines = []
for idx in range(len(curves)):
    line = curves[idx]
    colorVal = scalarMap.to_rgba(values[idx])
    retLine, = ax.plot(line, color=colorVal)
    #retLine.set_color()
    lines.append(retLine)
ax.legend(lines, labels, loc='upper right')
ax.grid()
plt.show()
提问于
用户回答回答于

这是您的示例的更新版本:

import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cm as cmx
import numpy as np

# define some random data that emulates your indeded code:
NCURVES = 10
np.random.seed(101)
curves = [np.random.random(20) for i in range(NCURVES)]
values = range(NCURVES)

fig = plt.figure()
ax = fig.add_subplot(111)
# replace the next line 
#jet = colors.Colormap('jet')
# with
jet = cm = plt.get_cmap('jet') 
cNorm  = colors.Normalize(vmin=0, vmax=values[-1])
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)
print scalarMap.get_clim()

lines = []
for idx in range(len(curves)):
    line = curves[idx]
    colorVal = scalarMap.to_rgba(values[idx])
    colorText = (
        'color: (%4.2f,%4.2f,%4.2f)'%(colorVal[0],colorVal[1],colorVal[2])
        )
    retLine, = ax.plot(line,
                       color=colorVal,
                       label=colorText)
    lines.append(retLine)
#added this to get the legend to work
handles,labels = ax.get_legend_handles_labels()
ax.legend(handles, labels, loc='upper right')
ax.grid()
plt.show()

其结果是:

用户回答回答于

import matplotlib.pyplot as plt

from matplotlib import cm
from numpy import linspace

start = 0.0
stop = 1.0
number_of_lines= 1000
cm_subsection = linspace(start, stop, number_of_lines) 

colors = [ cm.jet(x) for x in cm_subsection ]

for i, color in enumerate(colors):
    plt.axhline(i, color=color)

plt.ylabel('Line Number')
plt.show()

这导致1000条颜色独特的线条横跨整个cm.jt彩色地图,如下图所示。如果运行此脚本,您将发现可以放大各个行。

colors = [ cm.jet(x) for x in linspace(start, stop, number_of_lines) ]

在本例中,我使用了名为JET的常用调用映射,但您可以通过调用以下命令,找到matplotlib版本中可用的colormaps的完整列表:

>>> from matplotlib import cm
>>> dir(cm)

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