/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

17 votes336 views4 answers
How to install python 3.6 ubuntu
Python
3 votes334 views2 answers
Merge sort of two list in python
Python
0 vote374 views1 answer
Tasks discord py
Python
0 vote302 views1 answer
Setting spacing between ticks in matplotlib
Python
0 vote320 views1 answer
How to filter a series in pandas
Python
1 vote349 views1 answer
How to say someting in python
Python
0 vote335 views1 answer
Exec to return a value python
Python
0 vote310 views1 answer
Minimal requirements.txt django
Python
16 votes319 views1 answer
Python reload function in shell
Python
21 votes305 views4 answers
Floor function in python
Python