N
>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename(columns={"A": "a", "B": "c"})
a c
0 1 4
1 2 5
2 3 6
N
df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})
N
df.rename(columns={"A": "a", "B": "b", "C": "c"},
errors="raise", inplace=True)
N
df = df.rename(columns = {'myvar':'myvar_new'})
N
print(df.rename(columns={'A': 'a', 'C': 'c'}))
# a B c
# ONE 11 12 13
# TWO 21 22 23
# THREE 31 32 33
N
#df.rename() will only return a new df with the new headers
#df = df.rename() will change the heders of the current dataframe
df = df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})