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Pandas Tutorial

Pandas Series: aggregate() function

Aggregation with pandas series

The aggregate() function uses to one or more operations over the specified axis.

Syntax:

Series.aggregate(self, func, axis=0, *args, **kwargs)

Parameters:

Name Description Type/Default Value Required / Optional
func Function to use for aggregating the data. If a function, must either work when passed a Series or when passed to Series.apply.

Accepted combinations are:

  • function
  • string function name
  • list of functions and/or function names, e.g. [np.sum, 'mean']
  • dict of axis labels -> functions, function names or list of such.
 unction, str, list or dict Required
axis Parameter needed for compatibility with DataFrame. {0 or ‘index’} Required
args Positional arguments to pass to func.   Required
**kwds Keyword arguments to pass to func.   Required

Returns: scalar, Series or DataFrame
The return can be:

  • scalar : when Series.agg is called with single function
  • Series : when DataFrame.agg is called with a single function
  • DataFrame : when DataFrame.agg is called with several functions
Return scalar, Series or DataFrame.

Notes:agg is an alias for aggregate. Use the alias.
A passed user-defined-function will be passed a Series for evaluation.

Example:


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