Question

Consider the following Python code:

import pandas as pd
S1=pd.Series(['Rubina', 'Jaya', 'Vaibhav'], index=[10, 16, 18])
S2=pd.Series(______, index= (10, 16 18])
S3=pd.Series([56, 67, 86], ______)
xiia={'Name': ______,'Subject': S2, 'Marks': S3}
df=pd.DataFrame (______)
print(df)

Complete the above Python code to display the following output:

	Name	Subject	Marks
10	Rubina	IP	56
16	Jaya	HSc	67
18	Vaibhav	IP	86

Answer 1

Here's the completed Python code to display the desired output:

import pandas as pd
# Create Series objects
s1 = pd.Series(['Rubina', 'Jaya', 'Vaibhav'], index=[10, 16, 18))
s2 = pd Series(['IP', 'HSc', 'IP'], index=[10, 16, 18])
s3 = pd.Series([56, 67, 86], index=[10, 16, 18])
# Create a dictionary to hold data for DataFrame
xiia = {'Name': s1, 'Subject': s2, 'Marks': s3}
# Create DataFrame using the dictionary
df = pd.Dataframe(xiia)
print(df)

Explanation: 

Names, topics, and markings are stored in three Series objects: s1, s2, and s3. Keys are column names, and values are the corresponding series of objects in a dictionary data set. The dictionary data is then used to generate a DataFrame df. The intended result appears when printed.