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.

Inayra is writing a program using Pandas library for creating a dataframe from two dictionaries. Given below is the snippet she has developed. Help her to complete it by selecting the correct option given as under:

import ............... as pd            # Statement 1
dict = {'x': [10,25], 'y' : [32,93] }
dict 1 = {'x',: [14,56], 'y': [36,72] } 
df = pd.DataFrame (dict)
df1 = pd. ............... (dict)        # Statement 2
df2 = pd. ............... ([df, df1]) # Statement 3

1. Choose the correct option from the following for Statement 1.

    (a) pd
    (b) data
    (c) df
    (d) pandas

2. Which of the following option should be taken for Statement 2?

    (a) Series
    (b) Dataframe
    (c) DataFrame
    (d) Dictionary

3. Select the correct method from the following for Statement 3.

    (a) concat()
    (b) shape()
    (c) index()
    (d) append()

What is the significance of Pandas library ?