The pandas.DataFrame.drop() method in Pandas

The pandas.DataFrame.drop() function can used to drop the specified columns from the dataframe.

Syntax a) pandas.DataFrame.drop(labels=None, *, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')
b) pandas.DataFrame.drop(columns=None)

As the columns parameter is not the first parameter in the function, so when we are calling this function, it is required from us to specify the parameter name “columns” with the argument, otherwise, it will not work as expected.

Example: Let’s drop the column “Name” and “Salary” from the dataframe.

Python

mydata=pd.read_csv("employees.csv")
data_transformed=mydata.drop(columns=["Name", "Salary"])
data_transformed 

The output of the above code is shown below: