df change column names

1df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})

1df = df.rename(columns = {'myvar':'myvar_new'})

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.rename(columns={"A": "a", "B": "b", "C": "c"},
2errors="raise", inplace=True)
3

1#df.rename() will only return a new df with the new headers
2#df = df.rename() will change the heders of the current dataframe 
3df = df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})

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