_set_axis_name(self, name, axis=0, inplace=False)
Name(s) to set.
The axis to set the label. The value 0 or 'index' specifies index, and the value 1 or 'columns' specifies columns.
If :None:None:`True`, do operation inplace and return None.
The same type as the caller or :None:None:`None` if :None:None:`inplace` is :None:None:`True`.
Set the name(s) of the axis.
DataFrame.rename
Alter the axis labels of :None:class:`DataFrame`.
Index.rename
Set the name of :None:class:`Index` or :None:class:`MultiIndex`.
Series.rename
Alter the index labels or set the index name of :None:class:`Series`.
>>> df = pd.DataFrame({"num_legs": [4, 4, 2]},This example is valid syntax, but we were not able to check execution
... ["dog", "cat", "monkey"])
... df num_legs dog 4 cat 4 monkey 2
>>> df._set_axis_name("animal") num_legs animal dog 4 cat 4 monkey 2This example is valid syntax, but we were not able to check execution
>>> df.index = pd.MultiIndex.from_product(See :
... [["mammal"], ['dog', 'cat', 'monkey']])
... df._set_axis_name(["type", "name"]) num_legs type name mammal dog 4 cat 4 monkey 2
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