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Added documentation for mode() #9769

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Merged
merged 3 commits into from
Apr 2, 2015
Merged

Added documentation for mode() #9769

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3273453
Added documentation for mode()
alfonsomhc Apr 1, 2015
e9cfaf6
Updated documentation for mode()
alfonsomhc Apr 2, 2015
761be0f
Updated documentation for mode()
alfonsomhc Apr 2, 2015
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18 changes: 16 additions & 2 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4411,9 +4411,15 @@ def _get_agg_axis(self, axis_num):

def mode(self, axis=0, numeric_only=False):
"""
Gets the mode of each element along the axis selected. Empty if nothing
Gets the mode(s) of each element along the axis selected. Empty if nothing
has 2+ occurrences. Adds a row for each mode per label, fills in gaps
with nan.
with nan.
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You actually need a full empty line to make a new paragraph :)


Note that there could be multiple values returned for the selected
axis (when more than one item share the maximum frequency), which is the
reason why a dataframe is returned. If you want to impute missing values
with the mode in a dataframe ``df``, you can just do this:
``df.fillna(df.mode().iloc[0])``

Parameters
----------
Expand All @@ -4426,6 +4432,14 @@ def mode(self, axis=0, numeric_only=False):
Returns
-------
modes : DataFrame (sorted)

Examples
--------
>>> df = pd.DataFrame({'A': [1, 2, 1, 2, 1, 2, 3]})
>>> df.mode()
A
0 1
1 2
"""
data = self if not numeric_only else self._get_numeric_data()
f = lambda s: s.mode()
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