/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 vote324 views1 answer
Anvil get last row of data table
Python
-1 vote322 views1 answer
Cannot import name 'httpresponse' from 'django.http'
Python
12 votes285 views1 answer
X=x+1
Python
0 vote331 views1 answer
Resize image array python
Python
2 votes316 views2 answers
Null=true django
Python Django
5 votes319 views3 answers
Write to file python 3
Python
1 vote313 views1 answer
Slicing lexicographically pandas
Python
13 votes311 views4 answers
Pandas dataframe select rows not in list
Python
4 votes318 views1 answer
Get current url python
Python
2 votes304 views2 answers
Multiline string in python
Python