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0















I'm having an issue currently with pulling from an API, getting a JSON dict, then flattening it, and placing it into a dataframe.



The data is structured like this from the json:



X1_0, X2_0, X3_0 ... X1_1, X2_1, X2_1, ... X1_2, X2_2, X2_3 


and when I flatten it and place into a dataframe I get each flattened key as an individual column header rather than all combined since they have they _#.



So rather than getting something that's shape is 22 x 6 I get something that would be like 1 x 130.



I'm basically just interested in getting the shape of the dataframe correct but I'm not sure how I should fix it, and whether it should be done before flattening or after?



Any help is appreciated










share|improve this question
























  • Why don't you change your flattening code to produce a JSON array with six items [X1, X2, X3, X4, X5...]?

    – Aaron Digulla
    Mar 22 at 14:36











  • I just used the 6 as an example but in reality when the input changes (in this case lat/long for Bing Maps API), the output will change and could be more/less than 6 items. So a static fix like setting the array to six items wouldn't really work because sometimes the api may return 4, 8, or even 100. I'm thinking now the best option might be to remove the identifying number from the columns since that seems to be the only reason they're not stacking

    – nillam
    Mar 22 at 14:40


















0















I'm having an issue currently with pulling from an API, getting a JSON dict, then flattening it, and placing it into a dataframe.



The data is structured like this from the json:



X1_0, X2_0, X3_0 ... X1_1, X2_1, X2_1, ... X1_2, X2_2, X2_3 


and when I flatten it and place into a dataframe I get each flattened key as an individual column header rather than all combined since they have they _#.



So rather than getting something that's shape is 22 x 6 I get something that would be like 1 x 130.



I'm basically just interested in getting the shape of the dataframe correct but I'm not sure how I should fix it, and whether it should be done before flattening or after?



Any help is appreciated










share|improve this question
























  • Why don't you change your flattening code to produce a JSON array with six items [X1, X2, X3, X4, X5...]?

    – Aaron Digulla
    Mar 22 at 14:36











  • I just used the 6 as an example but in reality when the input changes (in this case lat/long for Bing Maps API), the output will change and could be more/less than 6 items. So a static fix like setting the array to six items wouldn't really work because sometimes the api may return 4, 8, or even 100. I'm thinking now the best option might be to remove the identifying number from the columns since that seems to be the only reason they're not stacking

    – nillam
    Mar 22 at 14:40














0












0








0








I'm having an issue currently with pulling from an API, getting a JSON dict, then flattening it, and placing it into a dataframe.



The data is structured like this from the json:



X1_0, X2_0, X3_0 ... X1_1, X2_1, X2_1, ... X1_2, X2_2, X2_3 


and when I flatten it and place into a dataframe I get each flattened key as an individual column header rather than all combined since they have they _#.



So rather than getting something that's shape is 22 x 6 I get something that would be like 1 x 130.



I'm basically just interested in getting the shape of the dataframe correct but I'm not sure how I should fix it, and whether it should be done before flattening or after?



Any help is appreciated










share|improve this question
















I'm having an issue currently with pulling from an API, getting a JSON dict, then flattening it, and placing it into a dataframe.



The data is structured like this from the json:



X1_0, X2_0, X3_0 ... X1_1, X2_1, X2_1, ... X1_2, X2_2, X2_3 


and when I flatten it and place into a dataframe I get each flattened key as an individual column header rather than all combined since they have they _#.



So rather than getting something that's shape is 22 x 6 I get something that would be like 1 x 130.



I'm basically just interested in getting the shape of the dataframe correct but I'm not sure how I should fix it, and whether it should be done before flattening or after?



Any help is appreciated







python pandas






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 22 at 14:12







nillam

















asked Mar 22 at 14:00









nillamnillam

113




113












  • Why don't you change your flattening code to produce a JSON array with six items [X1, X2, X3, X4, X5...]?

    – Aaron Digulla
    Mar 22 at 14:36











  • I just used the 6 as an example but in reality when the input changes (in this case lat/long for Bing Maps API), the output will change and could be more/less than 6 items. So a static fix like setting the array to six items wouldn't really work because sometimes the api may return 4, 8, or even 100. I'm thinking now the best option might be to remove the identifying number from the columns since that seems to be the only reason they're not stacking

    – nillam
    Mar 22 at 14:40


















  • Why don't you change your flattening code to produce a JSON array with six items [X1, X2, X3, X4, X5...]?

    – Aaron Digulla
    Mar 22 at 14:36











  • I just used the 6 as an example but in reality when the input changes (in this case lat/long for Bing Maps API), the output will change and could be more/less than 6 items. So a static fix like setting the array to six items wouldn't really work because sometimes the api may return 4, 8, or even 100. I'm thinking now the best option might be to remove the identifying number from the columns since that seems to be the only reason they're not stacking

    – nillam
    Mar 22 at 14:40

















Why don't you change your flattening code to produce a JSON array with six items [X1, X2, X3, X4, X5...]?

– Aaron Digulla
Mar 22 at 14:36





Why don't you change your flattening code to produce a JSON array with six items [X1, X2, X3, X4, X5...]?

– Aaron Digulla
Mar 22 at 14:36













I just used the 6 as an example but in reality when the input changes (in this case lat/long for Bing Maps API), the output will change and could be more/less than 6 items. So a static fix like setting the array to six items wouldn't really work because sometimes the api may return 4, 8, or even 100. I'm thinking now the best option might be to remove the identifying number from the columns since that seems to be the only reason they're not stacking

– nillam
Mar 22 at 14:40






I just used the 6 as an example but in reality when the input changes (in this case lat/long for Bing Maps API), the output will change and could be more/less than 6 items. So a static fix like setting the array to six items wouldn't really work because sometimes the api may return 4, 8, or even 100. I'm thinking now the best option might be to remove the identifying number from the columns since that seems to be the only reason they're not stacking

– nillam
Mar 22 at 14:40













1 Answer
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Try to strip the _# from the keys. My guess is that they are added in the flattening step, so it should be easy to get rid of them.



Now you will get several values per key. Fix this by creating a list of JSON objects where each contains all the values for each key with the same _#.






share|improve this answer























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    1 Answer
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    active

    oldest

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    0














    Try to strip the _# from the keys. My guess is that they are added in the flattening step, so it should be easy to get rid of them.



    Now you will get several values per key. Fix this by creating a list of JSON objects where each contains all the values for each key with the same _#.






    share|improve this answer



























      0














      Try to strip the _# from the keys. My guess is that they are added in the flattening step, so it should be easy to get rid of them.



      Now you will get several values per key. Fix this by creating a list of JSON objects where each contains all the values for each key with the same _#.






      share|improve this answer

























        0












        0








        0







        Try to strip the _# from the keys. My guess is that they are added in the flattening step, so it should be easy to get rid of them.



        Now you will get several values per key. Fix this by creating a list of JSON objects where each contains all the values for each key with the same _#.






        share|improve this answer













        Try to strip the _# from the keys. My guess is that they are added in the flattening step, so it should be easy to get rid of them.



        Now you will get several values per key. Fix this by creating a list of JSON objects where each contains all the values for each key with the same _#.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Mar 22 at 14:52









        Aaron DigullaAaron Digulla

        251k87482701




        251k87482701





























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