现在从没有星期六和星期日的数据帧列中减去日期时间



当前,我的脚本正在用我在名为"的Dataframe列中的时间减去我的当前时间;创建";,生成具有差异天数的新列。我用这个代码得到了不同的天数:

df['Creation']= pandas.to_datetime(df["Creation"],dayfirst="True")
#Generates new column with the days.
df['Difference'] = df.to_datetime('now') - df['Creation']

我现在想让它给我像他给我的那样的日子,但不要算周六和周日。我该怎么做?

您可以使用numpybusday_count,例如:

import pandas as pd
import numpy as np
# some dummy data
df = pd.DataFrame({'Creation': ['2021-03-29', '2021-03-30']})
# make sure we have datetime
df['Creation'] = pd.to_datetime(df['Creation'])
# set now to a fixed date
now = pd.Timestamp('2021-04-05')
# difference in business days, excluding weekends
# need to cast to datetime64[D] dtype so that np.busday_count works
df['busday_diff'] = np.busday_count(df['Creation'].values.astype('datetime64[D]'),
np.repeat(now, df['Creation'].size).astype('datetime64[D]'))
df['busday_diff'] # since I didn't define holidays, potential Easter holiday is excluded:
0    5
1    4
Name: busday_diff, dtype: int64

如果您需要输出为数据类型timedelta,您可以通过轻松转换为该类型

df['busday_diff'] = pd.to_timedelta(df['busday_diff'], unit='d')
df['busday_diff']
0   5 days
1   4 days
Name: busday_diff, dtype: timedelta64[ns]

注意:np.busday_count还允许您设置自定义周掩码(不包括周六和周日以外的日子(或假日列表。请参阅我在顶部链接的文档。

相关:在python中计算两个日期(不包括周末(之间的差异?,如何将(np.busday_count(与pandas.core.series.series 一起使用

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