Assertion. A dataframe is value mutable and size-mutable.

Reason. All changes occur in-place in a dataframe.

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 series object stores values of homogeneous types.

Reason. Even if values appear to be of different types, internally they are stored in a common datatype.

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. Arithmetic operations on two series objects take place on matching indexes.

Reason. For non-matching indexes of series objects in an arithmetic operation, NaN is returned.

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. While changing the values of a column in a dataframe, if the column does not exist, an error occurs.

Reason. If values are provided for a non-existing column in a dataframe, a new column is added with those values.

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.