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 = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'})
# Or rename the existing DataFrame (rather than creating a copy)
df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'}, inplace=True)
df_new = df.rename(columns={'A': 'a'}, index={'ONE': 'one'})
print(df_new)
# a B C
# one 11 12 13
# TWO 21 22 23
# THREE 31 32 33
print(df)
# A B C
# ONE 11 12 13
# TWO 21 22 23
# THREE 31 32 33
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