14 March 2021 Digital Electronics Test Result

 

S.No.	Name	Marks
1	Suruchi	41
2	Govind Yadav	41
3	Pritam Kumari	40
4	Salvi Vatsa	31
5	Meerayadav	31
6	Divya ..	30
7	Md Tehran	30
8	Ranjeet Yadav	30
9	Shehbaz	30
10	Lalit Gupta	30
11	Rohit Kumar	28
12	Ajay Gupta	28
13	Rakesh	27
14	Manish Kumar Garg	27
15	Vikas Patel	26
16	Surya	26
17	Jitender	26
18	Ankit Pandey	26
19	Chandan	24
20	Sandeep Kumar	24
21	Mukesh Roy	24
22	Akshay Sharma	24
23	Shefali Sharma	23
24	Ankur Bhardwaj	23
25	Sanjeev	23
26	Anuj Kashyap	23
27	Himanshu	23
28	Sanjay	22
29	Suhail Malik	22
30	Ajay Kumar	22
31	Pinki Rani	21
32	Sandee	21
33	Jyoti	20
34	Priyanka Arora	20
35	Rajesh Kumar	20
36	Hemant Kumar Singh	19
37	Vipin Kumar	19
38	Sonika	18
39	Amita	18
40	Annu	18
41	Monika Yadav	18
42	Shahib	17
43	Anil Yadav	17
44	Dilip Gupta	17
45	Piyush Kumar	17
46	Sandeep	16
47	Gopal Sharma	15
48	Gaurav Gahlot	14
49	Raj Kumar Gupta	14
50	Chirag Kashyap	14
51	Satyam	14
52	Priyanka Soni	13
53	Khushbu	12
54	Harshita	10
55	Shweta Sharma	10
56	Divya Mishra	8
57	Shivani Singh	8
58	Ankit Sandhilya	6
59	Sumit Chopra	3
60	Pragya Sharma	2
61	Lakshmi Nagakumari Velivela	1

Class 12 IP Practical - 15

 15. WAP to represent size and shape of the  DataFrame.

import pandas as pd

d={'Ritesh':{'English':85,'Bio':82,'Physics':35,'IP':95,'Chemistry':81}, \

   'Rishabh':{'English':55,'Bio':62,'Physics':55,'IP':85,'Chemistry':91}, \

   'Harshit':{'English':65,'Bio':72,'Physics':75,'IP':91,'Chemistry':71}, \

   'Krishan':{'English':25,'Bio':75,'Physics':45,'IP':93,'Chemistry':61}, \

   'Shailesh':{'English':75,'Bio':82,'Physics':65,'IP':97,'Chemistry':51}}

df1=pd.DataFrame(d)

print("DataFrame is:")

print(df1)

print("Size of DataFrame:")

print(df1.size)

print("Shape of DataFrame:")

print(df1.shape)

>>>

========= RESTART: C:/Program Files (x86)/Python38-32/Ip-15.py ========

DataFrame is:

           Ritesh  Rishabh  Harshit  Krishan  Shailesh

English        85       55       65       25        75

Bio            82       62       72       75        82

Physics        35       55       75       45        65

IP             95       85       91       93        97

Chemistry      81       91       71       61        51

Size of DataFrame:

25

Shape of DataFrame:

(5, 5)

>>> 

Class 12 IP Practical - 14

 14. WAP to show indexes and axes of a DataFrame.

 

import pandas as pd

d={'Ritesh':{'English':85,'Bio':82,'Physics':35,'IP':95,'Chemistry':81}, \

   'Rishabh':{'English':55,'Bio':62,'Physics':55,'IP':85,'Chemistry':91}, \

   'Harshit':{'English':65,'Bio':72,'Physics':75,'IP':91,'Chemistry':71}, \

   'Krishan':{'English':25,'Bio':75,'Physics':45,'IP':93,'Chemistry':61}, \

   'Shailesh':{'English':75,'Bio':82,'Physics':65,'IP':97,'Chemistry':51}}

df1=pd.DataFrame(d)

print("DataFrame is:")

print(df1)

print("Index of DataFrame:")

print(df1.index)

print("Axis of DataFrame:")

print(df1.axes)

>>>

========= RESTART: C:/Program Files (x86)/Python38-32/IP-14.py ========

DataFrame is:

           Ritesh  Rishabh  Harshit  Krishan  Shailesh

English        85       55       65       25        75

Bio            82       62       72       75        82

Physics        35       55       75       45        65

IP             95       85       91       93        97

Chemistry      81       91       71       61        51

Index of DataFrame:

Index(['English', 'Bio', 'Physics', 'IP', 'Chemistry'], dtype='object')

Axis of DataFrame:

[Index(['English', 'Bio', 'Physics', 'IP', 'Chemistry'], dtype='object'), Index(['Ritesh', 'Rishabh', 'Harshit', 'Krishan', 'Shailesh'], dtype='object')]

>>> 

Class 12 IP Practical - 13

 13.  WAP to perform mathematical operation addition, subtraction and multiplication on two series.

 

import pandas as pd

d1=[10,20,30,40,50,60,70,80]

S1=pd.Series(d1)

d2=[1,2,3,4,5,6,7,8]

S2=pd.Series(d2)

print("First Series:")

print(S1)

print("2nd Series:")

print(S2)

print("Addition of S1+S2 Series:")

print(S1.add(S2))

print("Subtraction of S1-S2 Series:")

print(S1.sub(S2))

print("Multiplication of S1*S2 Series:")

print(S1.mul(S2))

>>>

========= RESTART: C:/Program Files (x86)/Python38-32/Ip-13.py ========

First Series:

0    10

1    20

2    30

3    40

4    50

5    60

6    70

7    80

dtype: int64

2nd Series:

0    1

1    2

2    3

3    4

4    5

5    6

6    7

7    8

dtype: int64

Addition of S1+S2 Series:

0    11

1    22

2    33

3    44

4    55

5    66

6    77

7    88

dtype: int64

Subtraction of S1-S2 Series:

0     9

1    18

2    27

3    36

4    45

5    54

6    63

7    72

dtype: int64

Multiplication of S1*S2 Series:

0     10

1     40

2     90

3    160

4    250

5    360

6    490

7    640

dtype: int64

>>> 

Class 12 IP Practical - 12

 12.  Create a Series and access the top 2 and last 2 elements using head() and tail() methods.

import pandas as pd

d=[10,20,30,40,50,60,70,80]

S=pd.Series(d)

print("Series:")

print(S)

print("Top 2 Elements of Series:")

print(S.head(2))

print("Last 2 Elements of Series:")

print(S.tail(2))

 

========= RESTART: C:/Program Files (x86)/Python38-32/IP-12.py ========

Series:

0    10

1    20

2    30

3    40

4    50

5    60

6    70

7    80

dtype: int64

Top 2 Elements of Series:

0    10

1    20

dtype: int64

Last 2 Elements of Series:

6    70

7    80

dtype: int64

>>>  

Class 12 IP Practical - 11

 11.  WAP in Python to sort the pandas DataFrame on the basis of a single column in ascending order.

 

import pandas as pd

d={'Ritesh':{'English':85,'Bio':82,'Physics':35,'IP':95,'Chemistry':81}, \

   'Rishabh':{'English':55,'Bio':62,'Physics':55,'IP':85,'Chemistry':91}, \

   'Harshit':{'English':65,'Bio':72,'Physics':75,'IP':91,'Chemistry':71}, \

   'Krishan':{'English':25,'Bio':75,'Physics':45,'IP':93,'Chemistry':61}, \

   'Shailesh':{'English':75,'Bio':82,'Physics':65,'IP':97,'Chemistry':51}}

df1=pd.DataFrame(d)

print("DataFrame is:")

print(df1)

print("Sorted DataFrame w.r.t. IP is:")

print(df1.sort_values('Harshit',axis=0))

                                         

 

>>>

========= RESTART: C:/Program Files (x86)/Python38-32/IP-11.py ========

DataFrame is:

           Ritesh  Rishabh  Harshit  Krishan  Shailesh

English        85       55       65       25        75

Bio            82       62       72       75        82

Physics        35       55       75       45        65

IP             95       85       91       93        97

Chemistry      81       91       71       61        51

Sorted DataFrame w.r.t. IP is:

           Ritesh  Rishabh  Harshit  Krishan  Shailesh

English        85       55       65       25        75

Chemistry      81       91       71       61        51

Bio            82       62       72       75        82

Physics        35       55       75       45        65

IP             95       85       91       93        97

>>>  

Class 12 IP Practical - 08

 

#8 - Write a program to plot a bar chart from the medals won by the four countries. Make sure that bars are separately visible.                                  

Country	Gold	Silver	Bronze	Total
India	26	20	20	66
Australia	80	59	59	198
England	45	45	46	136
Canada	10	12	14	36

  

import matplotlib.pyplot as plt

import numpy as np

info=['Gold','Silver','Bronze','Total']

India=[26,20,20,66]

Australia=[80,59,59,198]

England=[45,45,46,136]

Canada=[10,12,14,36]

plt.figure(figsize=(10,7))

x=np.arange(len(info))

plt.bar(info,India,width=0.15,label="India")

plt.bar(x+0.15,Australia,width=0.15,label="Australia")

plt.bar(x+0.30,England,width=0.15,label="England")

plt.bar(x+0.45,Canada,width=0.15,label="Canada")

plt.xlabel("Medal Type")

plt.ylabel("Number of Medals won")

plt.title("Medal Tally Bar Chart")

plt.legend()

plt.show()