Create a Data frame name as original_df using these values

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#problem Statement

 

*Create a Data frame (name as "original_df") using these values*

 column name :- [name, age, mobile number, id, gmail, address]

 values : name :- ['vikas', ravtej, uday, vivek, suresh, gnenader]

          age  :- ['24', '24', '24', '23', '30', '25']

  mobile number :-['7839550000', '7839550001', '7839550002', '7839550003', '7839550004', '7839550005']

  id :- ['ctpl0', 'ctpl1', 'ctpl2', 'ctpl3', 'ctpl4', 'ctpl5']

  gmail :- ['v7839550000@ct.com', 'r7839550001@ct.com', 'u7839550002@ct.com', 'v7839550003@ct.com', 's7839550004@ct.com', 'g7839550009@ct.com']

  address :- ['noida', 'noida', 'noida', 'delhi', 'hyderabad', 'hyderabad']

1. Create a new 'df_1' by Filter out "age" column by "24", and print the df_1 (make sure "original_df" remains unchanged).

2. Print "original_df".

3. verify that "id" column has value as "alphanumeric" (using "original_df").

4. Verify that "mobile number" column value is present in corresponding row in "gmail" column , if not then return corresponding "id" value.

5. verify that if "age" column has value as "24" then "address" column has value as "noida", if condition is True return "pass", else return "fail"  

 

 

I Have done half of the code, i got strucked in 3  ponit.

Kindly Help me on this.

 

# Code

 

import pandas as pd

 

# Creating the dataframe

def fun_1():

    original_df = pd.DataFrame(

    {'name': ['vikas', 'ravtej', 'uday', 'vivek', 'suresh', 'gnenader'], 'age': ['24', '24', '24', '23', '30', '25'],

     'mobile_number': ['7839550000', '7839550001', '7839550002', '7839550003', '7839550004', '7839550005'],

     'id': ['ctpl0', 'ctpl1', 'ctpl2', 'ctpl3', 'ctpl4', 'ctpl5'],

     'gmail': ['v7839550000@ct.com', 'r7839550001@ct.com', 'u7839550002@ct.com', 'v7839550003@ct.com',

               's7839550004@ct.com', 'g7839550009@ct.com'],

     'address': ['noida', 'noida', 'noida', 'delhi', 'hyderabad', 'hyderabad']})

     

    return original_df

    

# creating new dataframe

 

def fun_2(df):

    df_1 = df.loc[df['age'] == '24']

    return df_1

    

#verify that "id" column has value as "alphanumeric" (using "original_df")

 

def fun_3():

    check_point = 'pass'

    id = ['ctpl0', 'ctpl1', 'ctpl2', 'ctpl3', 'ctpl4', 'ctpl5']

    for alphanumeric in id:

        if alphanumeric == 'ctpl0':

            pass

        else:

            check_point = 'fail'

    print(check_point)

    return check_point

    

    

 

 

if __name__ == '__main__':

    rs1 = fun_1()

    print(rs1)

    print('******************************************')

    rs2 = fun_2(rs1)

    print(rs2)

    print('******************************************')

    print(rs1)

    print('******************************************')

    rs3 = fun_3()

    print(rs3)

    

 

Attachments:

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