用matplotlib

Question

我试图做一个简单的时间序列图，显示muni掉期指数随时间的每周指数值。我无法将图表中的日期显示为日期。

%pylab inline
import pandas as pd
import numpy as np
import matplotlib as plt
import datetime as dt

ind = pd.read_csv("muni-swap-historical-data.csv")

ind.head(10)

Date      IndexValue
7/5/1989  6.06   
7/12/1989 5.77  
7/19/1989 5.93  
7/26/1989 6.09  
8/2/1989  5.91  
8/9/1989  5.94  
8/16/1989 6.17  
8/23/1989 6.19  
8/30/1989 6.15  
9/6/1989  6.03  

ind_clean = ind.copy()
ind_clean['Date'] = pd.to_datetime(ind_clean['Date'])
ind_clean['Date'] = ind_clean['Date'].astype(dt.datetime)

ind_clean['Date'].head(10)

0   1989-07-05 00:00:00  
1   1989-07-12 00:00:00  
2   1989-07-19 00:00:00  
3   1989-07-26 00:00:00  
4   1989-08-02 00:00:00  
5   1989-08-09 00:00:00  
6   1989-08-16 00:00:00  
7   1989-08-23 00:00:00  
8   1989-08-30 00:00:00  
9   1989-09-06 00:00:00  

ind_clean.plot(title='KBW BKX Index Timeseries').legend(loc=6,
                                                        bbox_to_anchor=(1, 0.5))

绘图输出：

***编辑：问题是由'IndexValue'列的命名引起的。将此更改为csv文件中的“值”可解决问题。工作代码如下。

%pylab inline

import pandas as pd
import numpy as np
import matplotlib as plt
#import datetime as dt

ind = pd.read_csv("muni-swap-historical-data.csv")

ind['Date'] = pd.to_datetime(ind['Date'])
#unnecessary ind['Date'] = ind_clean['Date'].astype(dt.datetime)

ind.plot(x='Date', y='Value', title='SIFMA Muni Swap Index Timeseries').legend(loc=6, bbox_to_anchor=(1, 0.5))