Extracting just Month and Year separately from Pandas Datetime column

You can extract the month and year separately from a Pandas datetime column using the dt accessor. Here's an example code snippet:

Extract the month and year separately from a Pandas datetime column using the dt accessor

import pandas as pd

# create a sample dataframe
df = pd.DataFrame({'date': ['2022-01-01', '2022-02-01', '2022-03-01']})

# convert the date column to datetime
df['date'] = pd.to_datetime(df['date'])

# extract the month and year separately
df['month'] = df['date'].dt.month
df['year'] = df['date'].dt.year

# display the result
print(df)

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This will create a new column called 'month' and 'year' with the respective values.