Assertion (A): The shape attribute returns the number of rows and number of columns available in dataframe.

Reasoning (R): The shape attribute returns the values in the form of list.

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): When a dataframe is created using dictionary, the keys will be the columns and corresponding values will be the rows of the dataframe.

Reasoning (R): NaN values are automatically filled for values of non-matching keys while creating a dataframe using dictionary.

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()