18 Apr Rename Columns in a Pandas DataFrame
Rename Columns lets you change existing column names to new ones, making your DataFrame easier to understand and work with. Use the rename() to allow you to specify a dictionary mapping old column names to new ones.
Let us see an example to rename columns in a Pandas DataFrame:
import pandas as pd
df = pd.DataFrame({'A':[1,2], 'B':[3,4]})
df.rename(columns={'A':'col1', 'B':'col2'}, inplace=True)
print(df)
Output
col1 col2 0 1 3 1 2 4
The above code creates a DataFrame with columns ‘A‘ and ‘B‘, then renames them to ‘col1‘ and ‘col2‘ respectively using the rename() method.
The inplace=True argument modifies the original DataFrame directly. Using inplace=True in df.rename() modifies the existing DataFrame directly rather than creating a new one
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