累积条形图

from matplotlib import pyplot as plt
import matplotlib
import pandas as pd
import numpy as np

font = {'family': 'MicroSoft YaHei',
        'weight': 'bold',
        'size': '40'}
matplotlib.rc("font", **font)

data = pd.read_excel(r'D:\QQ消息记录\1319609405\FileRecv\里程优势.xlsx')  # 文件路径
# print(data.info())
data = np.array(data)
x_label = data[:20, 0]
sc_data = data[:20, 1:5]
c_data = data[:20, 6]
line_data = data[:20, 10]
# print(x_label)
# print(sc_data)
# print(c_data)

v1 = [i[0] + i[1] + i[2] + i[3] for i in sc_data]
v2 = [i[0] + i[1] + i[2] for i in sc_data]
v3 = [i[0] + i[1] for i in sc_data]
v4 = [i[0] for i in sc_data]

# print(v1)
fig = plt.figure(figsize=(100, 50), dpi=80)

ax1 = fig.add_subplot(111)

bar_width = 0.4
x_label1 = list(range(len(x_label)))
x_label2 = [i + bar_width for i in x_label1]
x_labelm = [i + bar_width / 2 for i in x_label1]
ax1.bar(x_label1, v1, color="green", width=bar_width, label='取车费用')
ax1.bar(x_label1, v2, color="red", width=bar_width, label='还车费用')
ax1.bar(x_label1, v3, color="blue", width=bar_width, label='共享汽车费用')
ax1.bar(x_label1, v4, color="pink", width=bar_width, label='停车费')
ax1.bar(x_label2, c_data, color='#800080', width=bar_width, label='出租车费用')

ax2 = ax1.twinx()
ax2.plot(x_labelm, line_data, label='比例', linewidth=8, color='green')
ax1.legend()
ax2.legend()
ax1.set_ylabel('费用')  # 左Y轴的label
ax1.set_title("里程优势")
ax1.set_xlabel('里程区间')  # 设置xlabel
ax1.spines['left'].set_linewidth(5)
ax1.spines['right'].set_linewidth(5)
ax1.spines['bottom'].set_linewidth(5)

ax2.set_ylabel('比例')  # 右Y轴的label

plt.xticks(x_labelm, x_label, rotation=90)
plt.savefig('../Images/累积条形图.png')  # 保存路径
plt.show()  #这里面显示的不是太好，但是保存的图片还是比较好的