Series.set_axis(labels, axis=0, inplace=None)
[source]
Assign desired index to given axis
Parameters: |
labels: list-like or Index The values for the new index axis : int or string, default 0 inplace : boolean, default None Whether to return a new NDFrame instance. WARNING: inplace=None currently falls back to to True, but in a future version, will default to False. Use inplace=True explicitly rather than relying on the default. .. versionadded:: 0.21.0 The signature is make consistent to the rest of the API. Previously, the “axis” and “labels” arguments were respectively the first and second positional arguments. |
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Returns: |
renamed : NDFrame or None An object of same type as caller if inplace=False, None otherwise. |
See also
pandas.NDFrame.rename
>>> s = pd.Series([1, 2, 3]) >>> s 0 1 1 2 2 3 dtype: int64 >>> s.set_axis(['a', 'b', 'c'], axis=0, inplace=False) a 1 b 2 c 3 dtype: int64 >>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]}) >>> df.set_axis(['a', 'b', 'c'], axis=0, inplace=False) A B a 1 4 b 2 5 c 3 6 >>> df.set_axis(['I', 'II'], axis=1, inplace=False) I II 0 1 4 1 2 5 2 3 6 >>> df.set_axis(['i', 'ii'], axis=1, inplace=True) >>> df i ii 0 1 4 1 2 5 2 3 6
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http://pandas.pydata.org/pandas-docs/version/0.22.0/generated/pandas.Series.set_axis.html