The following statement will …………… .

df = df.drop(['Name', 'Class', 'Rollno'], axis = 1) #df is a DataFrame object

1. delete three columns having labels 'Name', 'Class' and `Rollno'
2. delete three rows having labels 'Name', 'Class' and 'Rollno'
3. delete any three columns
4. return error

Assertion (A): Pandas is a Python library.

Reasoning (R): Pandas is a powerful, flexible and easy to use open source data analysis library.

1. Both A and R are true and R is the correct explanation of A.
2. Both A and R are true but R is not the correct explanation of A.
3. A is true but R is false.
4. A is false but R is true.

Assertion. DataFrame has both a row and column index.

Reason. A DataFrame is a two-dimensional labelled data structure like a table of MySQL.

1. Both A and R are true and R is the correct explanation of A.
2. Both A and R are true but R is not the correct explanation of A.
3. A is true but R is false.
4. A is false but R is true.

Assertion (A): While creating a series using scalar values, index must be provided.

Reasoning (R): The scalar value is repeated to match the length of index.

1. Both A and R are true and R is the correct explanation of A.
2. Both A and R are true but R is not the correct explanation of A.
3. A is true but R is false.
4. A is false but R is true.