How to match element from set according to user input?












0















All,



I have below dataframe, I am trying to find unique professions present in my "Job" column and based on user Input, I need to print output saying that "Client is eligible" else "Client is not Eligible". My below code Just goes to else statement. I am not sure what is Wrong. Any input is appreciated!



My Code so far....



df=pd.read_csv('bank-data.csv')
uniq_job_set=list(set(df['job'])) #Set of unique jobs
prof=input('Enter Profession') #Input from user
if prof==uniq_job_set:
print('Yes, Client is eligible')
else:
print('No, Client is Not-eligible')


Dataframe used:



  age          job   marital    y
0 20 student single yes
1 32 management single yes
2 49 technician married yes
3 32 blue-collar married yes
4 33 management married yes
5 61 admin. married yes
6 45 blue-collar divorced yes
7 34 technician married yes
8 37 management married yes
9 27 admin. divorced yes









share|improve this question





























    0















    All,



    I have below dataframe, I am trying to find unique professions present in my "Job" column and based on user Input, I need to print output saying that "Client is eligible" else "Client is not Eligible". My below code Just goes to else statement. I am not sure what is Wrong. Any input is appreciated!



    My Code so far....



    df=pd.read_csv('bank-data.csv')
    uniq_job_set=list(set(df['job'])) #Set of unique jobs
    prof=input('Enter Profession') #Input from user
    if prof==uniq_job_set:
    print('Yes, Client is eligible')
    else:
    print('No, Client is Not-eligible')


    Dataframe used:



      age          job   marital    y
    0 20 student single yes
    1 32 management single yes
    2 49 technician married yes
    3 32 blue-collar married yes
    4 33 management married yes
    5 61 admin. married yes
    6 45 blue-collar divorced yes
    7 34 technician married yes
    8 37 management married yes
    9 27 admin. divorced yes









    share|improve this question



























      0












      0








      0








      All,



      I have below dataframe, I am trying to find unique professions present in my "Job" column and based on user Input, I need to print output saying that "Client is eligible" else "Client is not Eligible". My below code Just goes to else statement. I am not sure what is Wrong. Any input is appreciated!



      My Code so far....



      df=pd.read_csv('bank-data.csv')
      uniq_job_set=list(set(df['job'])) #Set of unique jobs
      prof=input('Enter Profession') #Input from user
      if prof==uniq_job_set:
      print('Yes, Client is eligible')
      else:
      print('No, Client is Not-eligible')


      Dataframe used:



        age          job   marital    y
      0 20 student single yes
      1 32 management single yes
      2 49 technician married yes
      3 32 blue-collar married yes
      4 33 management married yes
      5 61 admin. married yes
      6 45 blue-collar divorced yes
      7 34 technician married yes
      8 37 management married yes
      9 27 admin. divorced yes









      share|improve this question
















      All,



      I have below dataframe, I am trying to find unique professions present in my "Job" column and based on user Input, I need to print output saying that "Client is eligible" else "Client is not Eligible". My below code Just goes to else statement. I am not sure what is Wrong. Any input is appreciated!



      My Code so far....



      df=pd.read_csv('bank-data.csv')
      uniq_job_set=list(set(df['job'])) #Set of unique jobs
      prof=input('Enter Profession') #Input from user
      if prof==uniq_job_set:
      print('Yes, Client is eligible')
      else:
      print('No, Client is Not-eligible')


      Dataframe used:



        age          job   marital    y
      0 20 student single yes
      1 32 management single yes
      2 49 technician married yes
      3 32 blue-collar married yes
      4 33 management married yes
      5 61 admin. married yes
      6 45 blue-collar divorced yes
      7 34 technician married yes
      8 37 management married yes
      9 27 admin. divorced yes






      python pandas






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      share|improve this question













      share|improve this question




      share|improve this question








      edited Jan 1 at 22:48









      yatu

      13.6k31341




      13.6k31341










      asked Jan 1 at 22:42









      Data_is_PowerData_is_Power

      16110




      16110
























          1 Answer
          1






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          1














          The problem is in the if statement. You are comparing a list with a string, which will always be False. Use if prof in uniq_job_set instead:



          uniq_job_set=list(set(df['job'])) 
          prof=input('Enter Profession')
          if prof in uniq_job_set:
          print('Yes, Client is eligible')
          else:
          print('No, Client is Not-eligible')





          share|improve this answer


























          • Great. Thanks! :)

            – Data_is_Power
            Jan 1 at 22:52











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          1 Answer
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          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          The problem is in the if statement. You are comparing a list with a string, which will always be False. Use if prof in uniq_job_set instead:



          uniq_job_set=list(set(df['job'])) 
          prof=input('Enter Profession')
          if prof in uniq_job_set:
          print('Yes, Client is eligible')
          else:
          print('No, Client is Not-eligible')





          share|improve this answer


























          • Great. Thanks! :)

            – Data_is_Power
            Jan 1 at 22:52
















          1














          The problem is in the if statement. You are comparing a list with a string, which will always be False. Use if prof in uniq_job_set instead:



          uniq_job_set=list(set(df['job'])) 
          prof=input('Enter Profession')
          if prof in uniq_job_set:
          print('Yes, Client is eligible')
          else:
          print('No, Client is Not-eligible')





          share|improve this answer


























          • Great. Thanks! :)

            – Data_is_Power
            Jan 1 at 22:52














          1












          1








          1







          The problem is in the if statement. You are comparing a list with a string, which will always be False. Use if prof in uniq_job_set instead:



          uniq_job_set=list(set(df['job'])) 
          prof=input('Enter Profession')
          if prof in uniq_job_set:
          print('Yes, Client is eligible')
          else:
          print('No, Client is Not-eligible')





          share|improve this answer















          The problem is in the if statement. You are comparing a list with a string, which will always be False. Use if prof in uniq_job_set instead:



          uniq_job_set=list(set(df['job'])) 
          prof=input('Enter Profession')
          if prof in uniq_job_set:
          print('Yes, Client is eligible')
          else:
          print('No, Client is Not-eligible')






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Jan 1 at 22:56

























          answered Jan 1 at 22:47









          yatuyatu

          13.6k31341




          13.6k31341













          • Great. Thanks! :)

            – Data_is_Power
            Jan 1 at 22:52



















          • Great. Thanks! :)

            – Data_is_Power
            Jan 1 at 22:52

















          Great. Thanks! :)

          – Data_is_Power
          Jan 1 at 22:52





          Great. Thanks! :)

          – Data_is_Power
          Jan 1 at 22:52




















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