@@ -929,14 +929,17 @@ def describe(self, percentiles=None, include=None, exclude=None) -> Series:
929929 - 'all' : All columns of the input will be included in the output.
930930 - A list-like of dtypes : Limits the results to the
931931 provided data types.
932+
932933 To limit the result to numeric types submit
933934 ``numpy.number``. To limit it instead to object columns submit
934935 the ``numpy.object`` data type. Strings
935936 can also be used in the style of
936937 ``select_dtypes`` (e.g. ``df.describe(include=['O'])``). To
937938 select pandas categorical columns, use ``'category'``
939+
938940 - None (default) : The result will include all numeric columns.
939- exclude : list-like of dtypes or None (default), optional,
941+ exclude : list-like of dtypes or None (default), optional.
942+
940943 A black list of data types to omit from the result. Ignored
941944 for ``Series``. Here are the options:
942945
@@ -1661,7 +1664,8 @@ def plot(self) -> GroupByPlot:
16611664 - 'area' : area plot
16621665 - 'pie' : pie plot
16631666 - 'scatter' : scatter plot (DataFrame only)
1664- - 'hexbin' : hexbin plot (DataFrame only)
1667+ - 'hexbin' : hexbin plot (DataFrame only).
1668+
16651669 ax : matplotlib axes object, default None
16661670 An axes of the current figure.
16671671 subplots : bool or sequence of iterables, default False
@@ -1802,6 +1806,7 @@ def plot(self) -> GroupByPlot:
18021806 - See matplotlib documentation online for more on this subject
18031807 - If `kind` = 'bar' or 'barh', you can specify relative alignments
18041808 for bar plot layout by `position` keyword.
1809+
18051810 From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5
18061811 (center)
18071812
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