使用matplotlib颜色图进行颜色循环 [英] use matplotlib color map for color cycle

问题描述

如果我通过以下方式创建颜色: 将numpy导入为np 从matplotlib导入pyplot作为plt

If I create colors by e.g: import numpy as np from matplotlib import pyplot as plt

n = 6
color = plt.cm.coolwarm(np.linspace(0.1,0.9,n))
color

color是一个numpy数组:

color is a numpy array:

array([[ 0.34832334, 0.46571115, 0.88834616, 1. ], [ 0.56518158, 0.69943844, 0.99663507, 1. ], [ 0.77737753, 0.84092121, 0.9461493 , 1. ], [ 0.93577377, 0.8122367 , 0.74715647, 1. ], [ 0.96049006, 0.61627642, 0.4954666 , 1. ], [ 0.83936494, 0.32185622, 0.26492398, 1. ]])

array([[ 0.34832334, 0.46571115, 0.88834616, 1. ], [ 0.56518158, 0.69943844, 0.99663507, 1. ], [ 0.77737753, 0.84092121, 0.9461493 , 1. ], [ 0.93577377, 0.8122367 , 0.74715647, 1. ], [ 0.96049006, 0.61627642, 0.4954666 , 1. ], [ 0.83936494, 0.32185622, 0.26492398, 1. ]])

但是，如果我在.mplstyle文件(map(tuple,color[:,0:-1]))中将RGB值(不包含alpha值1)插入为元组，则会出现类似于以下错误:

However, If I plug in the RGB values (without the alpha value 1) as tuples in my .mplstyle file (map(tuple,color[:,0:-1])), I get an error similar to this one:

in file "/home/moritz/.config/matplotlib/stylelib/ggplot.mplstyle" Key axes.color_cycle: [(0.34832334141176474 does not look like a color arg (val, error_details, msg))

in file "/home/moritz/.config/matplotlib/stylelib/ggplot.mplstyle" Key axes.color_cycle: [(0.34832334141176474 does not look like a color arg (val, error_details, msg))

有什么想法吗?

推荐答案

详细信息实际上在matplotlibrc本身中:它需要一个字符串rep(十六进制或字母或单词，而不是元组).

The details are in the matplotlibrc itself, actually: it needs a string rep (hex or letter or word, not tuple).

import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl

fig, ax1 = plt.subplots(1,1)

ys = np.random.random((5, 6))
ax1.plot(range(5), ys)
ax1.set_title('Default color cycle')
plt.show()

# From the sample matplotlibrc:
#axes.color_cycle    : b, g, r, c, m, y, k  # color cycle for plot lines
                                            # as list of string colorspecs:
                                            # single letter, long name, or
                                            # web-style hex

# setting color cycle after calling plt.subplots doesn't "take"
# try some hex values as **string** colorspecs
mpl.rcParams['axes.color_cycle'] = ['#129845','#271254', '#FA4411', '#098765', '#000009']

fig, ax2 = plt.subplots(1,1)
ax2.plot(range(5), ys)
ax2.set_title('New color cycle')


n = 6
color = plt.cm.coolwarm(np.linspace(0.1,0.9,n)) # This returns RGBA; convert:
hexcolor = map(lambda rgb:'#%02x%02x%02x' % (rgb[0]*255,rgb[1]*255,rgb[2]*255),
               tuple(color[:,0:-1]))

mpl.rcParams['axes.color_cycle'] = hexcolor

fig, ax3 = plt.subplots(1,1)
ax3.plot(range(5), ys)
ax3.set_title('Color cycle from colormap')

plt.show()

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