pandas.Panel4D.rename_axis¶
- Panel4D.rename_axis(mapper, axis=0, copy=True, inplace=False)¶
- Alter index and / or columns using input function or functions. A scaler or list-like for mapper will alter the Index.name or MultiIndex.names attribute. A function or dict for mapper will alter the labels. Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-is. - Parameters: - mapper : scalar, list-like, dict-like or function, optional - axis : int or string, default 0 - copy : boolean, default True - Also copy underlying data - inplace : boolean, default False - Returns: - renamed : type of caller - See also - pandas.NDFrame.rename, pandas.Index.rename - Examples - >>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]}) >>> df.rename_axis("foo") # scalar, alters df.index.name A B foo 0 1 4 1 2 5 2 3 6 >>> df.rename_axis(lambda x: 2 * x) # function: alters labels A B 0 1 4 2 2 5 4 3 6 >>> df.rename_axis({"A": "ehh", "C": "see"}, axis="columns") # mapping ehh B 0 1 4 1 2 5 2 3 6