oupBy.corrwith ](pandas.core.groupby.DataFrameGroupBy.corrwith.html)
    * [ pandas.core.groupby.DataFrameGroupBy.count ](pandas.core.groupby.DataFrameGroupBy.count.html)
    * [ pandas.core.groupby.DataFrameGroupBy.cov ](pandas.core.groupby.DataFrameGroupBy.cov.html)
    * [ pandas.core.groupby.DataFrameGroupBy.cumcount ](pandas.core.groupby.DataFrameGroupBy.cumcount.html)
    * [ pandas.core.groupby.DataFrameGroupBy.cummax ](pandas.core.groupby.DataFrameGroupBy.cummax.html)
    * [ pandas.core.groupby.DataFrameGroupBy.cummin ](pandas.core.groupby.DataFrameGroupBy.cummin.html)
    * [ pandas.core.groupby.DataFrameGroupBy.cumprod ](pandas.core.groupby.DataFrameGroupBy.cumprod.html)
    * [ pandas.core.groupby.DataFrameGroupBy.cumsum ](pandas.core.groupby.DataFrameGroupBy.cumsum.html)
    * [ pandas.core.groupby.DataFrameGroupBy.describe ](pandas.core.groupby.DataFrameGroupBy.describe.html)
    * [ pandas.core.groupby.DataFrameGroupBy.diff ](pandas.core.groupby.DataFrameGroupBy.diff.html)
    * pandas.core.groupby.DataFrameGroupBy.ffill 
    * [ pandas.core.groupby.DataFrameGroupBy.fillna ](pandas.core.groupby.DataFrameGroupBy.fillna.html)
    * [ pandas.core.groupby.DataFrameGroupBy.first ](pandas.core.groupby.DataFrameGroupBy.first.html)
    * [ pandas.core.groupby.DataFrameGroupBy.head ](pandas.core.groupby.DataFrameGroupBy.head.html)
    * [ pandas.core.groupby.DataFrameGroupBy.idxmax ](pandas.core.groupby.DataFrameGroupBy.idxmax.html)
    * [ pandas.core.groupby.DataFrameGroupBy.idxmin ](pandas.core.groupby.DataFrameGroupBy.idxmin.html)
    * [ pandas.core.groupby.DataFrameGroupBy.last ](pandas.core.groupby.DataFrameGroupBy.last.html)
    * [ pandas.core.groupby.DataFrameGroupBy.max ](pandas.core.groupby.DataFrameGroupBy.max.html)
    * [ pandas.core.groupby.DataFrameGroupBy.mean ](pandas.core.groupby.DataFrameGroupBy.mean.html)
    * [ pandas.core.groupby.DataFrameGroupBy.median ](pandas.core.groupby.DataFrameGroupBy.median.html)
    * [ pandas.core.groupby.DataFrameGroupBy.min ](pandas.core.groupby.DataFrameGroupBy.min.html)
    * [ pandas.core.groupby.DataFrameGroupBy.ngroup ](pandas.core.groupby.DataFrameGroupBy.ngroup.html)
    * [ pandas.core.groupby.DataFrameGroupBy.nth ](pandas.core.groupby.DataFrameGroupBy.nth.html)
    * [ pandas.core.groupby.DataFrameGroupBy.nunique ](pandas.core.groupby.DataFrameGroupBy.nunique.html)
    * [ pandas.core.groupby.DataFrameGroupBy.ohlc ](pandas.core.groupby.DataFrameGroupBy.ohlc.html)
    * [ pandas.core.groupby.DataFrameGroupBy.pct_change ](pandas.core.groupby.DataFrameGroupBy.pct_change.html)
    * [ pandas.core.groupby.DataFrameGroupBy.prod ](pandas.core.groupby.DataFrameGroupBy.prod.html)
    * [ pandas.core.groupby.DataFrameGroupBy.quantile ](pandas.core.groupby.DataFrameGroupBy.quantile.html)
    * [ pandas.core.groupby.DataFrameGroupBy.rank ](pandas.core.groupby.DataFrameGroupBy.rank.html)
    * [ pandas.core.groupby.DataFrameGroupBy.resample ](pandas.core.groupby.DataFrameGroupBy.resample.html)
    * [ pandas.core.groupby.DataFrameGroupBy.rolling ](pandas.core.groupby.DataFrameGroupBy.rolling.html)
    * [ pandas.core.groupby.DataFrameGroupBy.sample ](pandas.core.groupby.DataFrameGroupBy.sample.html)
    * [ pandas.core.groupby.DataFrameGroupBy.sem ](pandas.core.groupby.DataFrameGroupBy.sem.html)
    * [ pandas.core.groupby.DataFrameGroupBy.shift ](pandas.core.groupby.DataFrameGroupBy.shift.html)
    * [ pandas.core.groupby.DataFrameGroupBy.size ](pandas.core.groupby.DataFrameGroupBy.size.html)
    * [ pandas.core.groupby.DataFrameGroupBy.skew ](pandas.core.groupby.DataFrameGroupBy.skew.html)
    * [ pandas.core.groupby.DataFrameGroupBy.std ](pandas.core.groupby.DataFrameGroupBy.std.html)
    * [ pandas.core.groupby.DataFrameGroupBy.sum ](pandas.core.groupby.DataFrameGroupBy.sum.html)
    * [ pandas.core.groupby.DataFrameGroupBy.var ](pandas.core.groupby.DataFrameGroupBy.var.html)
    * [ pandas.core.groupby.DataFrameGroupBy.tail ](pandas.core.groupby.DataFrameGroupBy.tail