是否为两列之间的所有日期添加行?

2024-08-21Python开发问题
3

本文介绍了是否为两列之间的所有日期添加行?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

在两列之间添加所有日期的行?

ID     Initiation_Date  Step    Start_Date   End_Date    Days

P-03    29-11-2018        3      2018-11-29  2018-12-10  11.0
P-04    29-11-2018        4      2018-12-03  2018-12-07   4.0
P-05    29-11-2018        5      2018-12-07  2018-12-07   0.0

推荐答案

使用:

mydata = [{'ID' : '10', 'Entry Date': '10/10/2016', 'Exit Date': '15/10/2016'},
          {'ID' : '20', 'Entry Date': '10/10/2016', 'Exit Date': '18/10/2016'}]

df = pd.DataFrame(mydata)

#convert columns to datetimes
df[['Entry Date','Exit Date']] = df[['Entry Date','Exit Date']].apply(pd.to_datetime)

#repeat index by difference of dates
df = df.loc[df.index.repeat((df['Exit Date'] - df['Entry Date']).dt.days + 1)]
#add counter duplicated rows to day timedeltas to new column
df['Date'] = df['Entry Date'] + pd.to_timedelta(df.groupby(level=0).cumcount(), unit='d')
#default RangeIndex
df = df.reset_index(drop=True)
print (df)
   Entry Date  Exit Date  ID       Date
0  2016-10-10 2016-10-15  10 2016-10-10
1  2016-10-10 2016-10-15  10 2016-10-11
2  2016-10-10 2016-10-15  10 2016-10-12
3  2016-10-10 2016-10-15  10 2016-10-13
4  2016-10-10 2016-10-15  10 2016-10-14
5  2016-10-10 2016-10-15  10 2016-10-15
6  2016-10-10 2016-10-18  20 2016-10-10
7  2016-10-10 2016-10-18  20 2016-10-11
8  2016-10-10 2016-10-18  20 2016-10-12
9  2016-10-10 2016-10-18  20 2016-10-13
10 2016-10-10 2016-10-18  20 2016-10-14
11 2016-10-10 2016-10-18  20 2016-10-15
12 2016-10-10 2016-10-18  20 2016-10-16
13 2016-10-10 2016-10-18  20 2016-10-17
14 2016-10-10 2016-10-18  20 2016-10-18

这篇关于是否为两列之间的所有日期添加行?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

pandas 有从特定日期开始的按月分组的方式吗?
Is there a way of group by month in Pandas starting at specific day number?( pandas 有从特定日期开始的按月分组的方式吗?)...
2024-08-22 Python开发问题
10

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10