import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = 'SimHei'
data = np.load("d:/2001-2019年劳动力与就业人员数据.npz", allow_pickle=True, encoding="ASCII")
df = pd.DataFrame(data)
print(df)
plt.rcParams['font.sans-serif'] = 'SimHei'
plt.rcParams['axes.unicode_minus'] = False
data1 = data['arr_0']
data2 = data['arr_1']
print(data1)
print(data2)
plt.figure(figsize=(10, 6), dpi=80)
arr = data2[-2, 14]
arr1 = data2[-1, 14]
arr2 = data2[-2, 16]
arr3 = data2[-1, 16]
values = [[arr, arr2], [arr1, arr3]]
labels = ['2018', '2019']
plt.xlabel('年份(年)')
plt.xticks(range(2), labels)
plt.ylabel("人口(万人)")
index = np.arange(2)
plt.bar(index+0.00, values[0], color='b', width=0.25)
plt.bar(index+0.25, values[1], color='r', width=0.25)
plt.legend(['个体城镇就业人员', '个体乡村就业人员'])
plt.show()
