18 Apr Drop a Column from a Pandas DataFrame
Drop Columns removes specified columns from your DataFrame, helping you focus on relevant data by eliminating unnecessary fields. Remove unwanted columns using drop(). Specify the columns to drop with the columns parameter.
Here, inplace=True changes the existing df directly.
Let us see an example to drop a column from a Pandas DataFrame:
df = pd.DataFrame({'A':[1,2], 'B':[3,4], 'C':[5,6]})
df.drop(columns=['C'], inplace=True)
print(df)
Output
A B 0 1 3 1 2 4
This example creates a DataFrame with three columns and drops column ‘C’ using drop(). The original DataFrame is updated because of inplace=True.
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