Get values from multiindex object in pandas












0















I have dataframe like this:



--------------------------------
|customer_id | item_id | action|
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | buy |
--------------------------------
|3 | 5 | view |
--------------------------------
|3 | 5 | view |
--------------------------------


I am using pandas and I want to have dataframe, in which for every customer there will be every item_id with view and buy count. I did something like this:



my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})


I got something like this:



--------------------------------------
action
--------------------------------------
|customer_id | item_id | action| |
--------------------------------------
|7 | 1 | view | 3|
| -------------------------
| | 1 | buy | 1|
--------------------------------------
|3 | 5 | view | 2|
--------------------------------------


Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?










share|improve this question

























  • Can you add expected output with numbers?

    – jezrael
    Nov 24 '18 at 12:58













  • I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.

    – M. Barabas
    Nov 24 '18 at 13:07











  • OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?

    – jezrael
    Nov 24 '18 at 13:10













  • There are two tables in question which represents dataframe before and after grouby.

    – M. Barabas
    Nov 24 '18 at 13:13











  • It seems we dont understand each other. My problem is I dont know what need Can someone help me how to get list of items for every customer and than number of views for every item in pandas ? so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is not my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'}), it has to be something else...

    – jezrael
    Nov 24 '18 at 13:19
















0















I have dataframe like this:



--------------------------------
|customer_id | item_id | action|
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | buy |
--------------------------------
|3 | 5 | view |
--------------------------------
|3 | 5 | view |
--------------------------------


I am using pandas and I want to have dataframe, in which for every customer there will be every item_id with view and buy count. I did something like this:



my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})


I got something like this:



--------------------------------------
action
--------------------------------------
|customer_id | item_id | action| |
--------------------------------------
|7 | 1 | view | 3|
| -------------------------
| | 1 | buy | 1|
--------------------------------------
|3 | 5 | view | 2|
--------------------------------------


Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?










share|improve this question

























  • Can you add expected output with numbers?

    – jezrael
    Nov 24 '18 at 12:58













  • I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.

    – M. Barabas
    Nov 24 '18 at 13:07











  • OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?

    – jezrael
    Nov 24 '18 at 13:10













  • There are two tables in question which represents dataframe before and after grouby.

    – M. Barabas
    Nov 24 '18 at 13:13











  • It seems we dont understand each other. My problem is I dont know what need Can someone help me how to get list of items for every customer and than number of views for every item in pandas ? so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is not my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'}), it has to be something else...

    – jezrael
    Nov 24 '18 at 13:19














0












0








0








I have dataframe like this:



--------------------------------
|customer_id | item_id | action|
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | buy |
--------------------------------
|3 | 5 | view |
--------------------------------
|3 | 5 | view |
--------------------------------


I am using pandas and I want to have dataframe, in which for every customer there will be every item_id with view and buy count. I did something like this:



my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})


I got something like this:



--------------------------------------
action
--------------------------------------
|customer_id | item_id | action| |
--------------------------------------
|7 | 1 | view | 3|
| -------------------------
| | 1 | buy | 1|
--------------------------------------
|3 | 5 | view | 2|
--------------------------------------


Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?










share|improve this question
















I have dataframe like this:



--------------------------------
|customer_id | item_id | action|
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | buy |
--------------------------------
|3 | 5 | view |
--------------------------------
|3 | 5 | view |
--------------------------------


I am using pandas and I want to have dataframe, in which for every customer there will be every item_id with view and buy count. I did something like this:



my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})


I got something like this:



--------------------------------------
action
--------------------------------------
|customer_id | item_id | action| |
--------------------------------------
|7 | 1 | view | 3|
| -------------------------
| | 1 | buy | 1|
--------------------------------------
|3 | 5 | view | 2|
--------------------------------------


Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?







python pandas dataframe






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 24 '18 at 13:11







M. Barabas

















asked Nov 24 '18 at 12:55









M. BarabasM. Barabas

197




197













  • Can you add expected output with numbers?

    – jezrael
    Nov 24 '18 at 12:58













  • I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.

    – M. Barabas
    Nov 24 '18 at 13:07











  • OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?

    – jezrael
    Nov 24 '18 at 13:10













  • There are two tables in question which represents dataframe before and after grouby.

    – M. Barabas
    Nov 24 '18 at 13:13











  • It seems we dont understand each other. My problem is I dont know what need Can someone help me how to get list of items for every customer and than number of views for every item in pandas ? so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is not my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'}), it has to be something else...

    – jezrael
    Nov 24 '18 at 13:19



















  • Can you add expected output with numbers?

    – jezrael
    Nov 24 '18 at 12:58













  • I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.

    – M. Barabas
    Nov 24 '18 at 13:07











  • OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?

    – jezrael
    Nov 24 '18 at 13:10













  • There are two tables in question which represents dataframe before and after grouby.

    – M. Barabas
    Nov 24 '18 at 13:13











  • It seems we dont understand each other. My problem is I dont know what need Can someone help me how to get list of items for every customer and than number of views for every item in pandas ? so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is not my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'}), it has to be something else...

    – jezrael
    Nov 24 '18 at 13:19

















Can you add expected output with numbers?

– jezrael
Nov 24 '18 at 12:58







Can you add expected output with numbers?

– jezrael
Nov 24 '18 at 12:58















I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.

– M. Barabas
Nov 24 '18 at 13:07





I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.

– M. Barabas
Nov 24 '18 at 13:07













OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?

– jezrael
Nov 24 '18 at 13:10







OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?

– jezrael
Nov 24 '18 at 13:10















There are two tables in question which represents dataframe before and after grouby.

– M. Barabas
Nov 24 '18 at 13:13





There are two tables in question which represents dataframe before and after grouby.

– M. Barabas
Nov 24 '18 at 13:13













It seems we dont understand each other. My problem is I dont know what need Can someone help me how to get list of items for every customer and than number of views for every item in pandas ? so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is not my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'}), it has to be something else...

– jezrael
Nov 24 '18 at 13:19





It seems we dont understand each other. My problem is I dont know what need Can someone help me how to get list of items for every customer and than number of views for every item in pandas ? so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is not my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'}), it has to be something else...

– jezrael
Nov 24 '18 at 13:19












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