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']).monthmonth 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']).monthpandas extract month year from date
#if the date format comes in datetime, we can also extract the day/month/year using the to_period function
#where 'D', 'M', 'Y' are inputs
df['month_year'] = pd.to_datetime(df['birth_date']).dt.to_period('M')
df.head()python take the month of date in new column
#pandas datetimeindex docs: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DatetimeIndex.html
df['month'] = pd.DatetimeIndex(df['birth_date']).month
df.head()Copyright © 2021 Codeinu
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