How can I aggregate data in a Pandas Series?
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How can I aggregate data in a Pandas Series?
You can use the agg() function to perform aggregation on a Pandas Series. What specific aggregation do you need?
I want to calculate the sum and mean of my data.
You can do that by passing a list of functions to agg(). For example: series.agg(['sum', 'mean']).
Can I also apply custom functions?
Yes, you can apply custom functions by passing them to agg(). Just define your function and include it in the list.
What if I want to group the data before aggregating?
You can use groupby() before agg(). For example: df.groupby('column_name')['series'].agg(['sum', 'mean']).
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