How to plot whiskers plot (remove box part in box-whisker plot) in Python










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I'm trying to visualize confidence intervals e.g. [-1, 1] for an A/B testing result to compare 2 experimental groups visually in Python, the whisker plot withno box with mean point at the center seems a good option, is there a straightforward way to remove the box part from the box-whisker-plot (seaborn pkg) in Python? Thanks!






python seaborn boxplot ab-testing







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    I'm trying to visualize confidence intervals e.g. [-1, 1] for an A/B testing result to compare 2 experimental groups visually in Python, the whisker plot withno box with mean point at the center seems a good option, is there a straightforward way to remove the box part from the box-whisker-plot (seaborn pkg) in Python? Thanks!






    python seaborn boxplot ab-testing







    share|improve this question
























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      I'm trying to visualize confidence intervals e.g. [-1, 1] for an A/B testing result to compare 2 experimental groups visually in Python, the whisker plot withno box with mean point at the center seems a good option, is there a straightforward way to remove the box part from the box-whisker-plot (seaborn pkg) in Python? Thanks!






      python seaborn boxplot ab-testing







      share|improve this question














      I'm trying to visualize confidence intervals e.g. [-1, 1] for an A/B testing result to compare 2 experimental groups visually in Python, the whisker plot withno box with mean point at the center seems a good option, is there a straightforward way to remove the box part from the box-whisker-plot (seaborn pkg) in Python? Thanks!






      python seaborn boxplot ab-testing




      python seaborn boxplot ab-testing






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      asked Nov 13 '18 at 18:05









      TylerTyler

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          There's a built-in argument for this, pass in showbox=False in the sns.boxplot() function



          sns.boxplot(data, showbox=False)





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            There's a built-in argument for this, pass in showbox=False in the sns.boxplot() function



            sns.boxplot(data, showbox=False)





            share|improve this answer



























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              There's a built-in argument for this, pass in showbox=False in the sns.boxplot() function



              sns.boxplot(data, showbox=False)





              share|improve this answer

























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                There's a built-in argument for this, pass in showbox=False in the sns.boxplot() function



                sns.boxplot(data, showbox=False)





                share|improve this answer













                There's a built-in argument for this, pass in showbox=False in the sns.boxplot() function



                sns.boxplot(data, showbox=False)






                share|improve this answer












                share|improve this answer



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                answered Nov 13 '18 at 18:21









                G. AndersonG. Anderson

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