rename column pandas

1>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
2>>> df.rename(columns={"A": "a", "B": "c"})
3   a  c
40  1  4
51  2  5
62  3  6
7

1df_new = df.rename(columns={'A': 'a'}, index={'ONE': 'one'})
2print(df_new)
3#         a   B   C
4# one    11  12  13
5# TWO    21  22  23
6# THREE  31  32  33
7
8print(df)
9#         A   B   C
10# ONE    11  12  13
11# TWO    21  22  23
12# THREE  31  32  33
13

1>>> df.rename(index={0: "x", 1: "y", 2: "z"})
2   A  B
3x  1  4
4y  2  5
5z  3  6
6

1>>> df.rename({1: 2, 2: 4}, axis='index')
2   A  B
30  1  4
42  2  5
54  3  6
6

1>>> df.rename(columns={"A": "a", "B": "b", "C": "c"}, errors="raise")
2Traceback (most recent call last):
3KeyError: ['C'] not found in axis
4

1>>> df.rename(str.lower, axis='columns')
2   a  b
30  1  4
41  2  5
52  3  6
6

1>>> df.index
2RangeIndex(start=0, stop=3, step=1)
3>>> df.rename(index=str).index
4Index(['0', '1', '2'], dtype='object')
5