检查日期是否是 pandas 数据框中的营业日期 [英] Check if a date is a business date within a pandas dataframe
本文介绍了检查日期是否是 pandas 数据框中的营业日期的处理方法,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小编来一起学习吧!
问题描述
我已经检查了python问题的工作日,但无法弄清楚如何解决以下问题.
I have already checked the business days in python question but wasn't able to figure out how to do the following problem.
我想检查日期是工作日还是周末还是假日,如果要添加日期,请添加下一个工作日之前的日期,并添加新列,如以下示例所示:
I want to check whether a date is a business date or weekend or holiday and if it is, I would like to add days until the next business day and append a new column as in the examples provided below:
我有以下熊猫数据框:
date
0 11/4/17 # Saturday
1 11/8/17
2 11/16/17
3 11/17/17
4 11/19/17 # Sunday
5 11/22/17
6 11/23/17
然后,我想创建一个新列 x ['date_business']
,其中包含所有营业日期,如以下示例所示:
And then I would like to create a new column x['date_business']
with all business dates as in the following example:
date date_business
0 11/4/17 11/6/17
1 11/8/17 11/8/17
2 11/16/17 11/16/17
3 11/17/17 11/17/17
4 11/19/17 11/20/17
5 11/22/17 11/22/17
6 11/23/17 11/23/17
推荐答案
我认为您需要 to_datetime
+ BDay
from pandas.tseries.offsets import *
df.date=pd.to_datetime(df.date)# convert your datetime into pandas
df['New']=np.where(df.date.dt.weekday_name.isin(['Saturday','Sunday']),df.date+BDay(1),df.date)
df
Out[1118]:
date New
0 2017-11-04 2017-11-06
1 2017-11-08 2017-11-08
2 2017-11-16 2017-11-16
3 2017-11-17 2017-11-17
4 2017-11-19 2017-11-20
5 2017-11-22 2017-11-22
6 2017-11-23 2017-11-23
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