rename columns pandas
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 dataframerename columns pandas
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 dataframepandas dataframe rename column
df = 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)rename one dataframe column python
#suppy as dict the column name to replace
df1 = df.rename(columns={'Name': 'EmpName'})
print(df1)pandas rename column
df.rename({'current':'updated'},axis = 1, inplace = True)dataframe rename column
df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
# Option 1
df.rename({"A": "a", "B": "c"}, axis=1)
# Option 2
df.rename(columns={"A": "a", "B": "c"})
# Result
a c
0 1 4
1 2 5
2 3 6rename column in dataframe
DataFrame.rename() methodCopyright © 2021 Codeinu
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