pandas rename column
df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"}, inplace=True)
pandas rename column
df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"}, inplace=True)
rename column name pandas dataframe
df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})
pandas dataframe column rename
>>> 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
name unnamed column pandas
data.rename( columns={'Unnamed: 0':'new column name'}, inplace=True )
pandas 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)
pandas rename column
df.rename({'current':'updated'},axis = 1, inplace = True)
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