pandas.Series.rename — pandas 0.18.1 documentation (original) (raw)

Alter axes input function or functions. Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-is. Alternatively, change Series.name with a scalar value (Series only).

s = pd.Series([1, 2, 3]) s 0 1 1 2 2 3 dtype: int64 s.rename("my_name") # scalar, changes Series.name 0 1 1 2 2 3 Name: my_name, dtype: int64 s.rename(lambda x: x ** 2) # function, changes labels 0 1 1 2 4 3 dtype: int64 s.rename({1: 3, 2: 5}) # mapping, changes labels 0 1 3 2 5 3 dtype: int64 df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]}) df.rename(2) ... TypeError: 'int' object is not callable df.rename(index=str, columns={"A": "a", "B": "c"}) a c 0 1 4 1 2 5 2 3 6