Question

我的数据框包含一列Date＆amp; Time，每行包含格式为MM/DD/YYYY HH:MM:SS

的条目

我希望能够仅根据日期范围对数据框进行切片，例如：5/01/2016 to 5/30/2016。

任何建议都将不胜感激！

Answer 1

表示变量sdate和edate

frame = []
record = 0
for date,time in my_list:
  if date == sdate or record == 1:
    frame.append([date,time])
    record = 1
  if date == edate:
    break;

print (frame)

Answer 2

您可以使用loc选择满足条件（日期间隔）的数据框子集：

数据准备

In [13]: from io import StringIO
    ...: import pandas as pd
    ...: 

In [14]: df = pd.read_csv(StringIO('''
    ...: Date
    ...: 5/01/2016 00:00:00
    ...: 5/02/2016 00:00:00
    ...: 5/03/2016 00:00:00
    ...: 5/04/2016 00:00:00
    ...: 5/05/2016 00:00:00
    ...: 5/06/2016 00:00:00
    ...: 5/07/2016 00:00:00
    ...: 5/08/2016 00:00:00
    ...: 5/09/2016 00:00:00
    ...: 5/010/2016 00:00:00
    ...: '''))

<强>运营

In [15]: df['Date'] = pd.to_datetime(df['Date'])

In [16]: start = "5/02/2016"
    ...: end = "5/05/2016"

In [17]: mask = (df['Date'] >= pd.to_datetime(start)) & (df['Date'] <= pd.to_datetime(end))

In [18]: df.loc[mask]
Out[18]: 
        Date
1 2016-05-02
2 2016-05-03
3 2016-05-04
4 2016-05-05

切片包含时间的日期范围

2 个答案: