Generate Box Plot From 5 Number Summary (Min,Max,Quantiles)?












0















Some researchers often report results in form of 5 number summary. While for my methodology I have raw data, I would like to compare box plots.



Hence, is it possible to draw boxplot from 5 number summary using matplotlib/seaborn?



The idea has already been discussed for R [here] and here2.






python seaborn







share|improve this question





























    0















    Some researchers often report results in form of 5 number summary. While for my methodology I have raw data, I would like to compare box plots.



    Hence, is it possible to draw boxplot from 5 number summary using matplotlib/seaborn?



    The idea has already been discussed for R [here] and here2.






    python seaborn







    share|improve this question



























      0












      0








      0








      Some researchers often report results in form of 5 number summary. While for my methodology I have raw data, I would like to compare box plots.



      Hence, is it possible to draw boxplot from 5 number summary using matplotlib/seaborn?



      The idea has already been discussed for R [here] and here2.






      python seaborn







      share|improve this question
















      Some researchers often report results in form of 5 number summary. While for my methodology I have raw data, I would like to compare box plots.



      Hence, is it possible to draw boxplot from 5 number summary using matplotlib/seaborn?



      The idea has already been discussed for R [here] and here2.






      python seaborn




      python seaborn






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 20 '18 at 7:25









      petezurich

      3,65081834




      3,65081834










      asked Nov 20 '18 at 7:23









      MartanMartan

      484




      484
























          1 Answer
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          A 5 number summary could be seen as a dataset of 5 numbers: [min, Q1, Q2, Q3, max]. Therefore, you can generate a dataset with these 5 numbers and plot them in a boxplot.



          For example:



          import seaborn
          

          
def fiveNumBox(mi, q1, q2, q3, ma):
          
    data = [mi, q1, q2, q3, ma]
          
    ax = seaborn.boxplot(data=data, orient="h")
          
    ax.get_figure().savefig('figure.png')
          

          
fiveNumBox(1, 2, 3, 4, 5)


          Generates:
          enter image description here






          share|improve this answer
























          • Edit: Yup work!

            – Martan
            Nov 20 '18 at 8:50













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          1 Answer
          1






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          oldest

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          active

          oldest

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          1














          A 5 number summary could be seen as a dataset of 5 numbers: [min, Q1, Q2, Q3, max]. Therefore, you can generate a dataset with these 5 numbers and plot them in a boxplot.



          For example:



          import seaborn
          

          
def fiveNumBox(mi, q1, q2, q3, ma):
          
    data = [mi, q1, q2, q3, ma]
          
    ax = seaborn.boxplot(data=data, orient="h")
          
    ax.get_figure().savefig('figure.png')
          

          
fiveNumBox(1, 2, 3, 4, 5)


          Generates:
          enter image description here






          share|improve this answer
























          • Edit: Yup work!

            – Martan
            Nov 20 '18 at 8:50


















          1














          A 5 number summary could be seen as a dataset of 5 numbers: [min, Q1, Q2, Q3, max]. Therefore, you can generate a dataset with these 5 numbers and plot them in a boxplot.



          For example:



          import seaborn
          

          
def fiveNumBox(mi, q1, q2, q3, ma):
          
    data = [mi, q1, q2, q3, ma]
          
    ax = seaborn.boxplot(data=data, orient="h")
          
    ax.get_figure().savefig('figure.png')
          

          
fiveNumBox(1, 2, 3, 4, 5)


          Generates:
          enter image description here






          share|improve this answer
























          • Edit: Yup work!

            – Martan
            Nov 20 '18 at 8:50
















          1












          1








          1







          A 5 number summary could be seen as a dataset of 5 numbers: [min, Q1, Q2, Q3, max]. Therefore, you can generate a dataset with these 5 numbers and plot them in a boxplot.



          For example:



          import seaborn
          

          
def fiveNumBox(mi, q1, q2, q3, ma):
          
    data = [mi, q1, q2, q3, ma]
          
    ax = seaborn.boxplot(data=data, orient="h")
          
    ax.get_figure().savefig('figure.png')
          

          
fiveNumBox(1, 2, 3, 4, 5)


          Generates:
          enter image description here






          share|improve this answer













          A 5 number summary could be seen as a dataset of 5 numbers: [min, Q1, Q2, Q3, max]. Therefore, you can generate a dataset with these 5 numbers and plot them in a boxplot.



          For example:



          import seaborn
          

          
def fiveNumBox(mi, q1, q2, q3, ma):
          
    data = [mi, q1, q2, q3, ma]
          
    ax = seaborn.boxplot(data=data, orient="h")
          
    ax.get_figure().savefig('figure.png')
          

          
fiveNumBox(1, 2, 3, 4, 5)


          Generates:
          enter image description here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 20 '18 at 7:44









          H. RossH. Ross

          1819




          1819













          • Edit: Yup work!

            – Martan
            Nov 20 '18 at 8:50





















          • Edit: Yup work!

            – Martan
            Nov 20 '18 at 8:50



















          Edit: Yup work!

          – Martan
          Nov 20 '18 at 8:50







          Edit: Yup work!

          – Martan
          Nov 20 '18 at 8:50






















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