Using Series.difference() to select all columns, except one given column

Creating a DataFrame:

Python3 # import pandas library import pandas as pd   # create a Dataframe data = pd.DataFrame({     'course_name': ['Data Structures', 'Python',                     'Machine Learning'],     'student_name': ['A', 'B',                      'C'],     'student_city': ['Chennai', 'Pune',                      'Delhi'],     'student_gender': ['M', 'F',                        'M'] }) # show the Dataframe data...

Using loc[] to select all columns, except one given column

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Using drop() Method to select all columns, except one given column

This GeeksForGeeks Dataframe is just a two dimension array with numerical index. Therefore, to except only one column we could use the columns methods to get all columns and use a not operator to exclude the columns which are not needed. This method works only when the Dataframe is not multi indexed (did not have more than one index)....

Using Series.difference() to select all columns, except one given column

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