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.
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
python— editable, runs on the server
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This will create a new column called 'month' and 'year' with the respective values.