import pandas as pd
unrate = pd.read_csv('UNRATE.csv')
unrate['DATE'] = pd.to_datetime(unrate['DATE']) #时间日期转换
print(unrate.head(12))
DATE VALUE
0 1948-01-01 3.4
1 1948-02-01 3.8
2 1948-03-01 4.0
3 1948-04-01 3.9
4 1948-05-01 3.5
5 1948-06-01 3.6
6 1948-07-01 3.6
7 1948-08-01 3.9
8 1948-09-01 3.8
9 1948-10-01 3.7
10 1948-11-01 3.8
11 1948-12-01 4.0
import matplotlib.pyplot as plt
first_twelve = unrate.loc[0:11]
plt.plot(first_twelve['DATE'],first_twelve["VALUE"]) # X轴，Y轴
# plt.xticks(rotation=45) # 旋转 X 轴刻度标签
plt.xticks(first_twelve['DATE'], rotation=45)
plt.xlabel('Month')
plt.ylabel('Unemployment Rate')
plt.title('Month Unemployment Trends, 1948')
plt.show()
