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DOC: update the pandas.Index.is_categorical docstring #20167

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Merged
merged 7 commits into from
Mar 12, 2018
Merged

DOC: update the pandas.Index.is_categorical docstring #20167

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354795e
pandas.Index.is_categorical from base.py documented
mariadelmarbibiloni Mar 10, 2018
1755bee
pandas.Index.is_categorical from base.py documented and some errors s…
mariadelmarbibiloni Mar 10, 2018
5a972b4
pandas.Index.is_categorical from base.py with new examples and extend…
mariadelmarbibiloni Mar 11, 2018
e6e12c6
Added See Also.
TomAugspurger Mar 11, 2018
a4586f2
Added back whitepace
TomAugspurger Mar 11, 2018
218737a
to_frame formatting
TomAugspurger Mar 12, 2018
1461f4a
Merge remote-tracking branch 'upstream/master' into mariadelmarbibilo…
TomAugspurger Mar 12, 2018
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34 changes: 33 additions & 1 deletion pandas/core/indexes/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1156,7 +1156,7 @@ def to_frame(self, index=True):
>>> idx = pd.Index(['Ant', 'Bear', 'Cow'], name='animal')
>>> idx.to_frame()
animal
animal
animal
Ant Ant
Bear Bear
Cow Cow
Expand Down Expand Up @@ -1471,6 +1471,38 @@ def is_object(self):
return is_object_dtype(self.dtype)

def is_categorical(self):
"""
Check if the Index type is categorical.

The given object must be a pandas DataFrame index or a pandas Series
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I think it's best to just remove this. There isn't really an object being passed, it's just an attribute on Index classes.

index.

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I agree! Thank you :)

Returns
-------
boolean
True if index is categorical.

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Thanks a lot for the See Also!

Examples
--------
>>> idx = pd.Index(["Watermelon", "Orange", "Apple",
... "Watermelon"]).astype("category")
>>> idx.is_categorical()
True

>>> idx = pd.Index([1, 3, 5, 7])
>>> idx.is_categorical()
False

>>> s = pd.Series(["Peter", "Víctor", "Elisabeth", "Mar"])
>>> s
0 Peter
1 Víctor
2 Elisabeth
3 Mar
dtype: object
>>> s.index.is_categorical()
False
"""
return self.inferred_type in ['categorical']

def is_interval(self):
Expand Down