/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

2 votes355 views1 answer
Django model current timestamp
Python
0 vote365 views1 answer
Tanimoto coefficient rdkit
Python
5 votes354 views1 answer
Python how move file to directory
Python
6 votes321 views1 answer
Check 32 or 64 bit python
Python
1 vote386 views1 answer
Delete last message discord.py
Python
2 votes371 views1 answer
What is modulus in python
Python
7 votes459 views3 answers
Python flask access-control-allow-origin
Python Flask
0 vote427 views2 answers
Error: Could not locate a Flask application. You did not provide the "FLASK_APP" environment variable, and a "wsgi.py" or "app.py" module was not found in the current directory.
Python Flask
1 vote399 views1 answer
Removing odd index character of a given string in python
Python
2 votes348 views1 answer
Python dict exclude keys
Python