Python matplotlib：使用matplotlib绘制--柱状图和折线图的组合。

废话不多说，直接上效果图和代码。

python matplotlib绘制散点图（Pythonmatplotlibmatplotlib绘制）(1)

代码如下:

#柱状图

import numpy as np

import matplotlib.pyplot as plt

C1 = '#99CCFF'

#C2 = '#CCFFFF'

C2 = '#CCCCFF'

C3 = "#6699CC"

AAA = [227.74,165.24,146.42]

BBB = [234.78,188.48,158.94]

CCC = [284.83,200.33,162.23]

#CNN_RLSTM = [0.9016,0.8636,0.9435]

#x = ['REST','LAPT','AUTO']

x = np.arange(3) #总共有几组，就设置成几，我们这里有三组，所以设置为3

total_width, n = 0.8, 3 # 有多少个类型，只需更改n即可，比如这里我们对比了四个，那么

#就把n设成4

width = total_width / n

x = x - (total_width - width) / 2

'''

#plt.bar用于绘制柱状图

plt.bar(x, AAA, color = C2,width=width,label='AAA ') ###或者color C2可以换成默认

plt.bar(x width, BBB, color = C1,width=width,label='BBB')

plt.bar(x 2 * width, CCC , color = C3,width=width,label='CCC')

'''

###或者color C2可以换成默认

plt.bar(x, AAA, color = 'r',width=width,label='AAA ') ###或者color C2可以换成默认

plt.bar(x width, BBB, color = 'y',width=width,label='BBB')

plt.bar(x 2 * width, CCC , color = 'k',width=width,label='CCC')

#plt.bar(x 3 * width, CNN_RLSTM , color = "g",width=width,label='CNN-RLSTM')

plt.xlabel("LUT")

plt.ylabel("Energy(KWh)")

plt.legend(loc = "best")

plt.xticks([0,1,2],['0.1','0.2','0.3'])

my_y_ticks = np.arange(120, 300, 50)

plt.ylim((150, 300))

plt.yticks(my_y_ticks)

AAA_plot = [2*0.16325,2* 0.13622, 2*0.11936]

BBB_plot = [2*0.1752, 2*0.14554,2*0.13491]

CCC_plot = [2*0.15599, 2*0.15473, 2*0.1956]

ax2 = plt.twinx() # 用于绘制双Y轴，重点。

'''

ax2.plot(x width, AAA_plot, color=C2)

ax2.plot(x width, BBB_plot, color=C1)

ax2.plot(x width, CCC_plot, color=C3)

'''

# 折线也可换颜色

ax2.plot(x width, AAA_plot, color='r')

ax2.plot(x width, BBB_plot, color='y')

ax2.plot(x width, CCC_plot, color='k')

ax2.set_ylim([0, 0.4])

my_y_ticks = np.arange(0, 0.4, 0.1)

plt.ylim((0, 0.4))

plt.yticks(my_y_ticks)

plt.show()

# 大功告成，谢谢观看。

python matplotlib绘制散点图（Pythonmatplotlibmatplotlib绘制）(2)

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