convert column in pandas to datetime
df['col'] = pd.to_datetime(df['col'])convert column in pandas to datetime
df['col'] = pd.to_datetime(df['col'])convert date time to date pandas
df['date_column'] = pd.to_datetime(df['datetime_column']).dt.datepd.to_datetime python
import pandas as pd
date='2020/11/26 12:00:00'
date_time=pd.to_datetime(date, format='%Y/%m/%d %H:%M:%S')month from datetime pandas
#Exctract month and create a dedicated column df["Month"] from a
#column in datetime format df["Date"]
df['Month'] = pd.DatetimeIndex(df['Date']).monthconvert birth date to age pandas
(pd.to_datetime('today').year-pd.to_datetime('1956-07-01').year)
Out[83]: 61pandas convert series of datetime to date
df['date_only'] = df['date_time_column'].dt.dateCopyright © 2021 Codeinu
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