利用python绘制叠置的直方图，将多个直方图绘制在一起。

原始数据形式为：

结果为：

代码为：

# -*- coding: utf-8 -*-

"""

author:cz

e-mail:chinesevoice@163.com

"""

import numpy as np

import matplotlib.pyplot as plt

import pandas as pd

#select one sheet of excel

sheet = "Sheet1"

#assume that there are several plots in one sheet

start_num = 1

data = pd.read_excel('testdata.xlsx',sheet_name=sheet)

index = [[0,1],[2,3],[4,5],[6,7]]

X1 = data.iloc[:,index[start_num-1][0]]

X2 = data.iloc[:,index[start_num-1][1]]

#find proper intervals of bins

x_max = X1.max() if X1.max() > X2.max() else X2.max()

x_min = X1.min() if X1.min() < X2.min() else X2.min()

plt.figure(figsize=(8, 8))

plt.tick_params(labelsize=25)

bins = np.linspace(x_min, x_max, 30)

#find proper y limitation

bmax_x1 = X1.value_counts(bins=bins).max()

bmax_x2 = X2.value_counts(bins=bins).max()

bmax = bmax_x1 if bmax_x1 > bmax_x2 else bmax_x2

plt.hist(X2, bins, alpha = 0.7, facecolor="#f1afa3",edgecolor="#FF0000", label='col1')

plt.hist(X1, bins, alpha = 0.7, facecolor="#9eaef7",edgecolor="#0000FF", label='col2')

plt.legend(loc='upper right',fontsize=25)

# plt.legend(loc='upper left',fontsize=25)

plt.xlabel('bins (unit)',fontsize=25)

plt.ylabel('Frequency',fontsize=25)

plt.text(-0.075,bmax+bmax/50,"item{}".format(start_num),fontsize=25)

plt.ylim(0,bmax+bmax/10)

# plt.savefig(sheet+"_SDD{}.png".format(start_num))

plt.show()

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