Python Quiz With Answers

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This is a challenging Python Quiz With Answers. In this quiz, you will be able to practice different questions from various topics in Python. All the best!

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Question 1 of 30

1. Question

Which of the following is the error raised when a wrong data value is given to the operator or a method?

DataTypeError
Correct Incorrect Correct answer

ValueError
Correct Incorrect Correct answer

TypeError
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None of the above
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Question 2 of 30

2. Question

What is the output of the below code?

raise

SyntaxError
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‘raise’
Correct Incorrect Correct answer

NameError
Correct Incorrect Correct answer

RuntimeError
Correct Incorrect Correct answer

Correct

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Question 3 of 30

3. Question

Which of the following modules allows you to view the data visually?

NumPy
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Matplotlib
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Seaborn
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Both b and c
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Correct

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Question 4 of 30

4. Question

Which of the following is a 3-dimensional data structure in pandas?

Series
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Data Frame
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Panel
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All the above
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Question 5 of 30

5. Question

What does the below code do?

from pymongo import MongoClient

client = MongoClient()

db=client.test

student = db.student

info = {

    ‘Name’: ‘ABC’,

    ‘Id’: ‘1’,

    ‘Age’: ’11’

}

student .insert_one(info)

Inserts the whole information in the ‘db’ database
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Insert the information of ‘Name’ in the student collection
Correct Incorrect Correct answer

Inserts only the ‘Name’ in the ‘db’ database
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Insert the whole information in the student collection
Correct Incorrect Correct answer

Correct

Incorrect

Question 6 of 30

6. Question

Which of the following is the correct code to change the information of one of the rows of the ‘student’ data?

db.student .update_one( new_data)
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student .change( new_data)
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student .update( new_data)
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db.student .change_one( new_data)
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Correct

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Question 7 of 30

7. Question

Which of the following keywords are used to handle the exceptions in Python?

Try and catch
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Try and except
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Try and hold
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Try and raise
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Question 8 of 30

8. Question

Which of the following is the code to read the columns cl1,cl2 from the table ‘tab’ using Pandas and sqlalchemy where the database engine is named as ’engine’?

pd.engine.query('SELECT cl1,cl2 FROM tab', engine)
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pd.read_sql_query('SELECT cl1,cl2 FROM tab', engine)
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pd.query('SELECT cl1,cl2 FROM tab', engine)
Correct Incorrect Correct answer

pd.execute('SELECT cl1,cl2 FROM tab')
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Correct

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Question 9 of 30

9. Question

What does the below code do?

from sqlalchemy import create_engine

import pandas as pd

from pandas.io import sql

data = pd.read_csv(‘stds.csv’)

engine = create_engine(‘sqlite:///:memory:’)

data.to_sql(‘stds’, engine)

sql.execute(‘INSERT INTO stds VALUES(?,?,?)’, engine, params=[(5,’ABC’,2002)])

Inserts a row into the table data
Correct Incorrect Correct answer

Inserts a row into the table stds
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SyntaxError
Correct Incorrect Correct answer

None of the above
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Correct

Incorrect

Question 10 of 30

10. Question

Which of the following are not the methods to real data using sqlite3?

fetch()
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fetchall()
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fetchone()
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All of the above
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Correct

Incorrect

Question 11 of 30

11. Question

What does the modes ‘a+’ let us access?

It let’s us to append data
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It let’s us to append and delete data
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It let’s us to append after reading data
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None of the above
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Correct

Incorrect

Question 12 of 30

12. Question

Find the output of the below code?

assert -4>0

True
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False
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AssertionError
Correct Incorrect Correct answer

SyntaxError
Correct Incorrect Correct answer

Correct

Incorrect

Question 13 of 30

13. Question

Which of the following code let’s us read data from an excel file?

pd.read_excel(r'data.xlsx')
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pd.ExcelFile(r'data.xlsx')
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pd.readExcel(r'data.xlsx')
Correct Incorrect Correct answer

Both a and b
Correct Incorrect Correct answer

Correct

Incorrect

Question 14 of 30

14. Question

Which of the following Python modules is used for stemming, the process of getting different morphological variations given a root word?

Stemmer
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nltk
Correct Incorrect Correct answer

Stem
Correct Incorrect Correct answer

None of the above
Correct Incorrect Correct answer

Correct

Incorrect

Question 15 of 30

15. Question

What is the output of the below code?

import numpy as np

arr=np.array([1,2,3,4,5.])

arr.dtype

int32
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float64
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ValueError
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TypeError
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Correct

Incorrect

Question 16 of 30

16. Question

To which of the following codes give an error with the below array?

arr=np.array([[1,2,3],[4,5,6]])

arr*-1
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arr.reshape(3,1)
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type(arr)
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None of the above
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Correct

Incorrect

Question 17 of 30

17. Question

What does the below code output?

import xlrd

xl=xlrd.open_workbook(‘data.xlsx’)

data=xl.sheet_by_index(0)

for i in range(data.ncols):

                print(data.cell_value(0,i),end=’,’)

It prints all the column names
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It prints all the row indexes
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It prints the whole table
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It prints only the first column values
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Correct

Incorrect

Question 18 of 30

18. Question

Which of the following is used to replace all the null values with 0 from the data frame df?

df.replace({NaN:0.00}
Correct Incorrect Correct answer

df.fillna(0)
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df.null(0)
Correct Incorrect Correct answer

Both a and b
Correct Incorrect Correct answer

Correct

Incorrect

Question 19 of 30

19. Question

What does the below code do if ‘dataFrame’ is a data frame and ‘Gender’ is one of its columns?

dataFrame[‘Gender’] = dataFrame[‘Gender’].map({‘M’: 0, ‘F’: 1, })

It replaces all the ‘M’ values in the column with 0 and ‘F’ values with 1
Correct Incorrect Correct answer

It creates another column with the corresponding ‘M’ values in the column with 0 and ‘F’ values with 1
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It replaces all the ‘M’ values in the column with 0.0 and ‘F’ values with 1.0
Correct Incorrect Correct answer

It creates another column with the corresponding ‘M’ values in the column with 0.0 and ‘F’ values with 1.0
Correct Incorrect Correct answer

Correct

Incorrect

Question 20 of 30

20. Question

What is the attribute used to set one of the plots as the dominant one when the two graphs coincide at some value?

porder
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priority
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dominant
Correct Incorrect Correct answer

zorder
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Correct

Incorrect

Question 21 of 30

21. Question

What is the output of the below code?

import numpy as np

arr = np.array([1,2,0,3,4,0,0,7,4,0,0,9])

print(np.where(arr == 0)[0].sum( ))

32
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37
Correct Incorrect Correct answer

26
Correct Incorrect Correct answer

SyntaxError
Correct Incorrect Correct answer

Correct

Incorrect

Question 22 of 30

22. Question

Which of the following is the correct way to create a subplot with 3 columns and 2 rows and choose the first subplot to plot a graph?

plt.subplot(2,3,0)
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plt.subplot(3,2,1)
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plt.subplot(2,3,1)
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plt.subplot(3,2,0)
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Correct

Incorrect

Question 23 of 30

23. Question

Which of the following is the correct code to concatenate two data frames having the same columns vertically such that the index values are continued?

pd.concatenate ([df,df2], axis=0, ignore_index = True)
Correct Incorrect Correct answer

pd.concat([df,df2], axis=1)
Correct Incorrect Correct answer

pd.concatenate ([df,df2], axis=1, ignore_index = True)
Correct Incorrect Correct answer

pd.concat([df,df2], axis=0, ignore_index = True)
Correct Incorrect Correct answer

Correct

Incorrect

Question 24 of 30

24. Question

What is the output of the below code?

import statistics as st

st.mean({1:’a’,2:’b’,3:’c’,4:’d’,5:’e’})

3
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3.0
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TypeError
Correct Incorrect Correct answer

ValueError
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Correct

Incorrect

Question 25 of 30

25. Question

Which of the following is used to plot a 3D line plot with the variables as a,b,c on 3D axes named ‘axs’?

axs.plot3D(a,b,c)
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axs.line3D(a,b,c)
Correct Incorrect Correct answer

axs.3Dline(a,b,c)
Correct Incorrect Correct answer

axs.plot(a,b,c)
Correct Incorrect Correct answer

Correct

Incorrect

Question 26 of 30

26. Question

What does the below code plot?

plt.scatter(a,b,marker=’D’)

It plots a scatter plot of variables a and b with the markers of D shape
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It plots a scatter plot of variables a and b with the markers of quadrilateral shape
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It plots a scatter plot of variables a and b with the markers of triangular shape
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It plots a scatter plot of variables a and b with the markers of semicircle shape
Correct Incorrect Correct answer

Correct

Incorrect

Question 27 of 30

27. Question

Correct

Incorrect

Question 28 of 30

28. Question

What is the output of the below code?

import statistics as st

st.mean([])

0
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Null
Correct Incorrect Correct answer

TypeError
Correct Incorrect Correct answer

StatisticsError
Correct Incorrect Correct answer

Correct

Incorrect

Question 29 of 30

29. Question

Which of the following gives the standard deviation of the column ‘clmn’ of the data frame ‘df’?

df['clmn'].std()
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df.'clmn..std()
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df.std('clmn')
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None of the above
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Correct

Incorrect

Question 30 of 30

30. Question

What does the below give the statistical information of all the columns of the data frame?

df. stats(include='all')
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df. describe()
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df. describe(include='all')
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Both a and b
Correct Incorrect Correct answer

Correct

Incorrect

Summary

Hope you enjoyed taking this Python Quiz With Answers. Happy learning!

Python Quiz With Answers

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