import pandas as pd
import matplotlib.pyplot as plt
unrate = pd.read_csv('/Users/liyili2/Downloads/tang/pandas_data/unrate.csv')
unrate['DATE'] = pd.to_datetime(unrate['DATE'])#格式化日期，转化为日期格式
print(unrate.head(12))
first_twelve = unrate[0:12]
plt.plot(first_twelve['DATE'], first_twelve['VALUE'])#左边是X轴，右边是Y轴
plt.xticks(rotation=45)#45度横坐标显示标签
plt.xlabel('Month')#X轴表示什么
plt.ylabel('Unemployment Rate')#Y轴表示什么
plt.title('Monthly Unemployment Trends, 1948')#表格名字
plt.show()

结果：
        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