How do I set the order of a grouped bar chart with Chartify?









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How can users change the order of the grouped bars in the example below?



ch = chartify.Chart(blank_labels=True, x_axis_type='categorical') 
ch.plot.bar(
data_frame=quantity_by_fruit_and_country,
categorical_columns=['fruit', 'country'],
numeric_column='quantity')
ch.show('png')


Grouped bar plot










share|improve this question



























    up vote
    3
    down vote

    favorite
    1












    How can users change the order of the grouped bars in the example below?



    ch = chartify.Chart(blank_labels=True, x_axis_type='categorical') 
    ch.plot.bar(
    data_frame=quantity_by_fruit_and_country,
    categorical_columns=['fruit', 'country'],
    numeric_column='quantity')
    ch.show('png')


    Grouped bar plot










    share|improve this question

























      up vote
      3
      down vote

      favorite
      1









      up vote
      3
      down vote

      favorite
      1






      1





      How can users change the order of the grouped bars in the example below?



      ch = chartify.Chart(blank_labels=True, x_axis_type='categorical') 
      ch.plot.bar(
      data_frame=quantity_by_fruit_and_country,
      categorical_columns=['fruit', 'country'],
      numeric_column='quantity')
      ch.show('png')


      Grouped bar plot










      share|improve this question















      How can users change the order of the grouped bars in the example below?



      ch = chartify.Chart(blank_labels=True, x_axis_type='categorical') 
      ch.plot.bar(
      data_frame=quantity_by_fruit_and_country,
      categorical_columns=['fruit', 'country'],
      numeric_column='quantity')
      ch.show('png')


      Grouped bar plot







      python data-visualization chartify






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 9 at 17:17









      matt b

      109k56249318




      109k56249318










      asked Nov 9 at 17:16









      chalpert

      1227




      1227






















          1 Answer
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          up vote
          3
          down vote













          The bar plot method has a categorical_order_by parameter that can be used to change the order. As specified in the documentation, set it equal to values or labels to sort by those corresponding dimensions.



          For a custom sort, you can pass a list of values to the categorical_order_by parameter. Since the bar is grouped by two dimensions, the list should contain tuples as in the example below:



          from itertools import product
          outside_groups = ['Apple', 'Orange', 'Banana', 'Grape']
          inner_groups = ['US', 'JP', 'BR', 'CA', 'GB']
          sort_order = list(product(outside_groups, inner_groups))

          # Plot the data
          ch = chartify.Chart(blank_labels=True, x_axis_type='categorical')
          ch.plot.bar(
          data_frame=quantity_by_fruit_and_country,
          categorical_columns=['fruit', 'country'],
          numeric_column='quantity',
          categorical_order_by=sort_order)
          ch.show('png')


          enter image description here






          share|improve this answer




















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            1 Answer
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            active

            oldest

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            1 Answer
            1






            active

            oldest

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            active

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            up vote
            3
            down vote













            The bar plot method has a categorical_order_by parameter that can be used to change the order. As specified in the documentation, set it equal to values or labels to sort by those corresponding dimensions.



            For a custom sort, you can pass a list of values to the categorical_order_by parameter. Since the bar is grouped by two dimensions, the list should contain tuples as in the example below:



            from itertools import product
            outside_groups = ['Apple', 'Orange', 'Banana', 'Grape']
            inner_groups = ['US', 'JP', 'BR', 'CA', 'GB']
            sort_order = list(product(outside_groups, inner_groups))

            # Plot the data
            ch = chartify.Chart(blank_labels=True, x_axis_type='categorical')
            ch.plot.bar(
            data_frame=quantity_by_fruit_and_country,
            categorical_columns=['fruit', 'country'],
            numeric_column='quantity',
            categorical_order_by=sort_order)
            ch.show('png')


            enter image description here






            share|improve this answer
























              up vote
              3
              down vote













              The bar plot method has a categorical_order_by parameter that can be used to change the order. As specified in the documentation, set it equal to values or labels to sort by those corresponding dimensions.



              For a custom sort, you can pass a list of values to the categorical_order_by parameter. Since the bar is grouped by two dimensions, the list should contain tuples as in the example below:



              from itertools import product
              outside_groups = ['Apple', 'Orange', 'Banana', 'Grape']
              inner_groups = ['US', 'JP', 'BR', 'CA', 'GB']
              sort_order = list(product(outside_groups, inner_groups))

              # Plot the data
              ch = chartify.Chart(blank_labels=True, x_axis_type='categorical')
              ch.plot.bar(
              data_frame=quantity_by_fruit_and_country,
              categorical_columns=['fruit', 'country'],
              numeric_column='quantity',
              categorical_order_by=sort_order)
              ch.show('png')


              enter image description here






              share|improve this answer






















                up vote
                3
                down vote










                up vote
                3
                down vote









                The bar plot method has a categorical_order_by parameter that can be used to change the order. As specified in the documentation, set it equal to values or labels to sort by those corresponding dimensions.



                For a custom sort, you can pass a list of values to the categorical_order_by parameter. Since the bar is grouped by two dimensions, the list should contain tuples as in the example below:



                from itertools import product
                outside_groups = ['Apple', 'Orange', 'Banana', 'Grape']
                inner_groups = ['US', 'JP', 'BR', 'CA', 'GB']
                sort_order = list(product(outside_groups, inner_groups))

                # Plot the data
                ch = chartify.Chart(blank_labels=True, x_axis_type='categorical')
                ch.plot.bar(
                data_frame=quantity_by_fruit_and_country,
                categorical_columns=['fruit', 'country'],
                numeric_column='quantity',
                categorical_order_by=sort_order)
                ch.show('png')


                enter image description here






                share|improve this answer












                The bar plot method has a categorical_order_by parameter that can be used to change the order. As specified in the documentation, set it equal to values or labels to sort by those corresponding dimensions.



                For a custom sort, you can pass a list of values to the categorical_order_by parameter. Since the bar is grouped by two dimensions, the list should contain tuples as in the example below:



                from itertools import product
                outside_groups = ['Apple', 'Orange', 'Banana', 'Grape']
                inner_groups = ['US', 'JP', 'BR', 'CA', 'GB']
                sort_order = list(product(outside_groups, inner_groups))

                # Plot the data
                ch = chartify.Chart(blank_labels=True, x_axis_type='categorical')
                ch.plot.bar(
                data_frame=quantity_by_fruit_and_country,
                categorical_columns=['fruit', 'country'],
                numeric_column='quantity',
                categorical_order_by=sort_order)
                ch.show('png')


                enter image description here







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 9 at 17:16









                chalpert

                1227




                1227



























                     

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