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Site Navigation

  * [ Getting started ](../../getting_started/index.html)
  * [ User Guide ](../../user_guide/index.html)
  * [ API reference ](../index.html)
  * [ Development ](../../development/index.html)
  * [ Release notes ](../../whatsnew/index.html)

  * [ __ GitHub  ](https://github.com/pandas-dev/pandas "GitHub")
  * [ __ Twitter  ](https://twitter.com/pandas_dev "Twitter")
  * [ __ Mastodon  ](https://fosstodon.org/@pandas_dev "Mastodon")

  * [ Input/output ](../io.html)
  * [ General functions ](../general_functions.html)
  * [ Series ](../series.html)
  * [ DataFrame ](../frame.html)
  * [ pandas arrays, scalars, and data types ](../arrays.html)
  * [ Index objects ](../indexing.html)
  * [ Date offsets ](../offset_frequency.html)
  * [ Window ](../window.html)
  * [ GroupBy ](../groupby.html) __
    * [ pandas.core.groupby.DataFrameGroupBy.__iter__ ](pandas.core.groupby.DataFrameGroupBy.__iter__.html)
    * [ pandas.core.groupby.SeriesGroupBy.__iter__ ](pandas.core.groupby.SeriesGroupBy.__iter__.html)
    * [ pandas.core.groupby.DataFrameGroupBy.groups ](pandas.core.groupby.DataFrameGroupBy.groups.html)
    * [ pandas.core.groupby.SeriesGroupBy.groups ](pandas.core.groupby.SeriesGroupBy.groups.html)
    * pandas.core.groupby.DataFrameGroupBy.indices 
    * [ pandas.core.groupby.SeriesGroupBy.indices ](pandas.core.groupby.SeriesGroupBy.indices.html)
    * [ pandas.core.groupby.DataFrameGroupBy.get_group ](pandas.core.groupby.DataFrameGroupBy.get_group.html)
    * [ pandas.core.groupby.SeriesGroupBy.get_group ](pandas.core.groupby.SeriesGroupBy.get_group.html)
    * [ pandas.Grouper ](pandas.Grouper.html)
    * [ pandas.NamedAgg ](pandas.NamedAgg.html)
    * [ pandas.core.groupby.SeriesGroupBy.apply ](pandas.core.groupby.SeriesGroupBy.apply.html)
    * [ pandas.core.groupby.DataFrameGroupBy.apply ](pandas.core.groupby.DataFrameGroupBy.apply.html)
    * [ pandas.core.groupby.SeriesGroupBy.agg ](pandas.core.groupby.SeriesGroupBy.agg.html)
    * [ pandas.core.groupby.DataFrameGroupBy.agg ](pandas.core.groupby.DataFrameGroupBy.agg.html)
    * [ pandas.core.groupby.SeriesGroupBy.aggregate ](pandas.core.groupby.SeriesGroupBy.aggregate.html)
    * [ pandas.core.groupby.DataFrameGroupBy.aggregate ](pandas.core.groupby.DataFrameGroupBy.aggregate.html)
    * [ pandas.core.groupby.SeriesGroupBy.transform ](pandas.core.groupby.SeriesGroupBy.transform.html)
    * [ pandas.core.groupby.DataFrameGroupBy.transform ](pandas.core.groupby.DataFrameGroupBy.transform.html)
    * [ pandas.core.groupby.SeriesGroupBy.pipe ](pandas.core.groupby.SeriesGroupBy.pipe.html)
    * [ pandas.core.groupby.DataFrameGroupBy.pipe ](pandas.core.groupby.DataFrameGroupBy.pipe.html)
    * [ pandas.core.groupby.DataFrameGroupBy.filter ](pandas.core.groupby.DataFrameGroupBy.filter.html)
    * [ pandas.core.groupby.SeriesGroupBy.filter ](pandas.core.groupby.SeriesGroupBy.filter.html)
    * [ pandas.core.groupby.DataFrameGroupBy.all ](pandas.core.groupby.DataFrameGroupBy.all.html)
    * [ pandas.core.groupby.DataFrameGroupBy.any ](pandas.core.groupby.DataFrameGroupBy.any.html)
    * [ pandas.core.groupby.DataFrameGroupBy.bfill ](pandas.core.groupby.DataFrameGroupBy.bfill.html)
    * [ pandas.core.groupby.DataFrameGroupBy.corr ](pandas.core.groupby.DataFrameGroupBy.corr.html)
    * [ pandas.core.groupby.DataFrameGroupBy.corrwith ](pandas.core.groupby.DataFrameGroupBy.