設置多個子圖的label

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

font = {'family': 'MicroSoft YaHei',
        'weight': 'bold',
        'size': '4'}
matplotlib.rc("font", **font)

dataM_pd = pd.read_excel(r'./data/每個男會員消費記錄.xlsx', sheet_name=3)
# dataM = np.array(dataM_pd)

dataF_pd = pd.read_excel(r'./data/每個女會員消費記錄.xlsx', sheet_name=3)
# # print(dataF_pd.head())


saleM_Num = len(dataM_pd.kh)
# print(saleM_Num)

saleM_payAll = sum(dataM_pd.pay)
saleM_payAvg = saleM_payAll / saleM_Num
saleM_payCount = sum(dataM_pd.zsl.values)
saleM_countAvg = saleM_payCount / saleM_Num
# print(saleM_Num)
# print(saleM_payAll)
# print(saleM_payAvg)
print(saleM_payCount)
print(saleM_countAvg)

saleF_Num = len(dataF_pd.kh)
# print(saleM_Num)

saleF_payAll = sum(dataF_pd.pay)
saleF_payAvg = saleF_payAll / saleM_Num
saleF_payCount = sum(dataF_pd.zsl)
saleF_countAvg = saleF_payCount / saleM_Num

# plt.figure(figsize=(8, 20), dpi=80)
fig, ax = plt.subplots(2, 2, figsize=(8, 20))

bar_width = 0.2
x_1 = [0]
x_2 = [i + bar_width for i in x_1]
ax[0, 0].bar(x_1, saleM_payAll, bar_width, color="#87CEFA", label='男會員總消費')
ax[0, 0].bar(x_2, saleF_payAll, bar_width, color="#FFC0CB", label='女會員總消費')
ax[0, 0].legend()
ax[0, 0].set_ylabel('費用（元）')
ax[0, 0].set_xlabel('性別')
ax[0, 0].set_xticks([])
x_3 = [i + 2 * bar_width for i in x_2]
x_4 = [i + bar_width for i in x_3]

ax[0, 1].bar(x_3, saleM_payAvg, bar_width, color="#87CEFA", label='男會員平均消費')
ax[0, 1].bar(x_4, saleF_payAvg, bar_width, color="#FFC0CB", label='女會員平均消費')
ax[0, 1].legend()
ax[0, 1].set_ylabel('費用（元）')
ax[0, 1].set_xlabel('性別')
ax[0, 1].set_xticks([])

x_5 = [i + 2 * bar_width for i in x_4]
x_6 = [i + bar_width for i in x_5]
ax[1, 0].bar(x_5, saleM_payCount, bar_width, color="#87CEFA", label='男會員中消費次數')
ax[1, 0].bar(x_6, saleF_payCount, bar_width, color="#FFC0CB", label='女會員中消費次數')
ax[1, 0].legend()
ax[1, 0].set_ylabel('次數（次）')
ax[1, 0].set_xlabel('性別')
ax[1, 0].set_xticks([])

# x_5=[i + 2 * bar_width for i in x_4]
# x_6=[i + bar_width for i in x_5]
ax[1, 1].bar(x_5, saleM_countAvg, bar_width, color="#87CEFA", label='男會員平均消費次數')
ax[1, 1].bar(x_6, saleF_countAvg, bar_width, color="#FFC0CB", label='女會員平均消費次數')
ax[1, 1].legend()
ax[1, 1].set_ylabel('次數（次）')
ax[1, 1].set_xlabel('性別')
ax[1, 1].set_xticks([])
# plt.legend()

plt.show()
# plt.savefig('./Images/草圖.png',dpi=80)
fig.savefig('./Images/草圖.png', dpi=80)