@@ -936,16 +936,20 @@ def describe(self, percentiles=None, include=None, exclude=None) -> Series:
936936 ``select_dtypes`` (e.g. ``df.describe(include=['O'])``). To
937937 select pandas categorical columns, use ``'category'``
938938 - None (default) : The result will include all numeric columns.
939+
939940 exclude : list-like of dtypes or None (default), optional,
940941 A black list of data types to omit from the result. Ignored
941942 for ``Series``. Here are the options:
942943
943944 - A list-like of dtypes : Excludes the provided data types
944- from the result. To exclude numeric types submit
945+ from the result.
946+
947+ To exclude numeric types submit
945948 ``numpy.number``. To exclude object columns submit the data
946949 type ``numpy.object``. Strings can also be used in the style of
947950 ``select_dtypes`` (e.g. ``df.describe(exclude=['O'])``). To
948951 exclude pandas categorical columns, use ``'category'``
952+
949953 - None (default) : The result will exclude nothing.
950954
951955 Returns
@@ -1802,8 +1806,8 @@ 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.
1805- From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5
1806- (center)
1809+ - From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5
1810+ (center).
18071811
18081812 Examples
18091813 --------
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