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.

Assertion (A): After running the following code:

df = pd.DataFrame([11,46], index = ['True', 'False'])
print(df[True])

A key error will be produced.

Reasoning (R): Dataframe does not support Boolean Indexing.

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): We can add a new column in an existing dataframe using .at or .loc methods.

Reasoning (R): When we reassign new values to an existing column in a dataframe, the previous values are overwritten.

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.