AlloViz.AlloViz.Elements.Edges._agg_summary_and_see_also_doc

Edges._agg_summary_and_see_also_doc = '\nThe aggregation operations are always performed over an axis, either the\nindex (default) or the column axis. This behavior is different from\n`numpy` aggregation functions (`mean`, `median`, `prod`, `sum`, `std`,\n`var`), where the default is to compute the aggregation of the flattened\narray, e.g., ``numpy.mean(arr_2d)`` as opposed to\n``numpy.mean(arr_2d, axis=0)``.\n\n`agg` is an alias for `aggregate`. Use the alias.\n\nSee Also\n--------\nDataFrame.apply : Perform any type of operations.\nDataFrame.transform : Perform transformation type operations.\ncore.groupby.GroupBy : Perform operations over groups.\ncore.resample.Resampler : Perform operations over resampled bins.\ncore.window.Rolling : Perform operations over rolling window.\ncore.window.Expanding : Perform operations over expanding window.\ncore.window.ExponentialMovingWindow : Perform operation over exponential weighted\n    window.\n'