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']).monthselect year from index
Pandas - extracting month and year from index
You can take below example, However you can have the details usage from Docs pandas.DatetimeIndex
Example DataFrame:
>>> df
name age favorite_color grade birth_date
Willard Morris Willard Morris 20 blue 88 01-02-1996
Al Jennings Al Jennings 19 red 92 08-05-1997
Omar Mullins Omar Mullins 22 yellow 95 04-28-1996
Spencer McDaniel Spencer McDaniel 21 green 70 12-16-1995
1) To extract year:
>>> df['year'] = pd.DatetimeIndex(df['birth_date']).year
>>> df.head()
name age favorite_color grade birth_date year
Willard Morris Willard Morris 20 blue 88 01-02-1996 1996
Al Jennings Al Jennings 19 red 92 08-05-1997 1997
Omar Mullins Omar Mullins 22 yellow 95 04-28-1996 1996
Spencer McDaniel Spencer McDaniel 21 green 70 12-16-1995 1995
2) To extract month:
>>> df['month'] = pd.DatetimeIndex(df['birth_date']).month
>>> df.head()
name age favorite_color grade birth_date year month
Willard Morris Willard Morris 20 blue 88 01-02-1996 1996 1
Al Jennings Al Jennings 19 red 92 08-05-1997 1997 8
Omar Mullins Omar Mullins 22 yellow 95 04-28-1996 1996 4
Spencer McDaniel Spencer McDaniel 21 green 70 12-16-1995 1995 12
3) To extract year_with_month:
>>> df['month_year'] = pd.to_datetime(df['birth_date']).dt.to_period('M')
>>> df
name age favorite_color grade birth_date year month month_year
Willard Morris Willard Morris 20 blue 88 01-02-1996 1996 1 1996-01
Al Jennings Al Jennings 19 red 92 08-05-1997 1997 8 1997-08
Omar Mullins Omar Mullins 22 yellow 95 04-28-1996 1996 4 1996-04
Spencer McDaniel Spencer McDaniel 21 green 70 12-16-1995 1995 12 1995-12Copyright © 2021 Codeinu
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