/Python/Pandas extract month year from date

Pandas extract month year from date

Extract year from datetime pandas

df['date'] = pd.to_datetime(df['date'],format='%Y%m%d')
df['year'] = pd.DatetimeIndex(df['date']).year
df['month'] = pd.DatetimeIndex(df['date']).month

To extract out only year month from a date column in pandas

df['month_year'] = df['date_column'].dt.to_period('M')

Source: stackoverflow.com

Pandas 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()

Source: interviewqs.com

Similar codes

0 vote148 views1 answer
Panda datetime ymd to dmy
Python
0 vote135 views1 answer
Asyncio RuntimeError: Event loop is closed
Python
0 vote195 views1 answer
How to insert a placeholder text in django modelform
Python
0 vote155 views1 answer
Stack data horizontally pandas
Python
0 vote147 views1 answer
Equivalenci EN PYTHON DE INPUT EN C#
Python
7 votes143 views1 answer
Tkinter give button 2 commands
Python
0 vote149 views1 answer
Upload CSV file using REST API Python
Python
23 votes176 views3 answers
Python3 format leading 0
Python
0 vote158 views1 answer
I have two versions of python installed mac
Python
18 votes135 views2 answers
Absolute value python
Python