如何使用日期作为x轴绘制数据框架

Question

我有一个简单的数据框，有两列，＆＃39; date＆＃39;和＆＃39;金额＆＃39;。我想用日期作为x轴绘制金额。数据的第一行是：

22/05/2018,52068.67
21/05/2018,52159.19
15/05/2018,52744.03
08/05/2018,54666.21
08/05/2018,54677.51
01/05/2018,53890.59
30/04/2018,54812.25
27/04/2018,52258.23
26/04/2018,52351.47
23/04/2018,49777.04
23/04/2018,49952.44
23/04/2018,49992.44
05/04/2018,53238.59
03/04/2018,53631.09
03/04/2018,53839.64
28/03/2018,50836.78
26/03/2018,51206.67
26/03/2018,51372.02
14/03/2018,51110.17
12/03/2018,51411.31
06/03/2018,51169.91
05/03/2018,51374.57
27/02/2018,48728.85
27/02/2018,48730.5
16/02/2018,44988.25
14/02/2018,41948.03
12/02/2018,43776.31
12/02/2018,43800.31
12/02/2018,43840.11
05/02/2018,29358.96
26/01/2018,39491.0
24/01/2018,36470.03
23/01/2018,36562.76
23/01/2018,36616.61
22/01/2018,36582.46
22/01/2018,36665.71
22/01/2018,36743.31
17/01/2018,36965.3
16/01/2018,37044.6
09/01/2018,42083.65
08/01/2018,42183.39
05/01/2018,42285.41
03/01/2018,41537.51
03/01/2018,41579.51
02/01/2018,41945.32
27/12/2017,43003.33
27/12/2017,43217.29
18/12/2017,38208.63
15/12/2017,38315.53

然而，该情节给出了我不会出现在数据中的分数。例如，在2018年5月，30000附近没有价值。

我的代码是：

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv("test.csv", header=None, names =['date', 'amount'])
df['time'] = pd.to_datetime(df['date'])
df.set_index(['time'],inplace=True)
df['amount'].plot()
plt.show()

我做错了什么？

Answer 1

您需要使用正确的格式将日期转换为日期时间并使用pandas plot

df['date'] = pd.to_datetime(df['date'], format = '%d/%m/%Y')
df.plot('date', 'amount')