Reputation: 123
I have the following pandas dataframe. The dates are with time:
from pandas.tseries.holiday import USFederalHolidayCalendar
import pandas as pd<BR>
df = pd.DataFrame([[6,0,"2016-01-02 01:00:00",0.0],
[7,0,"2016-07-04 02:00:00",0.0]])
cal = USFederalHolidayCalendar()
holidays = cal.holidays(start='2014-01-01', end='2018-12-31')
I want to add a new boolean column with True/False if the date is holiday or not.
Tried df["hd"] = df[2].isin(holidays)
, but it doesn't work because of time digits.
Upvotes: 0
Views: 964
Reputation: 863611
Use Series.dt.floor
or Series.dt.normalize
for remove times:
df[2] = pd.to_datetime(df[2])
df["hd"] = df[2].dt.floor('d').isin(holidays)
#alternative
df["hd"] = df[2].dt.normalize().isin(holidays)
print (df)
0 1 2 3 hd
0 6 0 2016-01-02 01:00:00 0.0 False
1 7 0 2016-07-04 02:00:00 0.0 True
Upvotes: 2