Informatics Practices
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.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Related Questions
Assertion. A dataframe is a 2D data structure which is value mutable and size mutable.
Reason. Every change in a dataframe internally creates a new dataframe object.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Assertion. A dataframe is value mutable and size-mutable.
Reason. All changes occur in-place in a dataframe.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Assertion. Arithmetic operations on two series objects take place on matching indexes.
Reason. Non-matching indexes are removed from the result of arithmetic operation on series objects.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- 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.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.