How do I group data in a Pandas DataFrame?
You can use the groupby()
function in Pandas to group data. What specific operation do you want to perform after grouping?
I want to calculate the average of a specific column after grouping.
You can do that by chaining the mean()
function after groupby()
. For example: df.groupby('column_name').mean()
.
Can I group by multiple columns?
Yes, you can group by multiple columns by passing a list to groupby()
, like this: df.groupby(['col1', 'col2']).mean()
.
What if I want to apply different functions to different columns?
You can use the agg()
function to apply different aggregation functions to different columns. For example: df.groupby('col1').agg({'col2': 'mean', 'col3': 'sum'})
.
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