df.rename(columns={'oldName1': 'newName1',
'oldName2': 'newName2'},
inplace=True, errors='raise')
# Make sure you set inplace to True if you want the change
# to be applied to the dataframedf.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})df.rename(columns={"A": "a", "B": "b", "C": "c"},
errors="raise", inplace=True)
df.rename(columns = {'old_col1':'new_col1', 'old_col2':'new_col2'}, inplace = True)df.columns = ['V', 'W', 'X', 'Y', 'Z']df2.columns = stocks['Ticker'][:3]
[:3] is just use first 3
[5::] skip first 5
price price price
2021-01-11 131.90 15.00 179.07
2021-01-12 128.09 15.74 182.65
to
Ticker A AAL AAP
2021-01-11 131.90 15.00 179.07
2021-01-12 128.09 15.74 182.65