Python - can you plot a histogram with a contour?












0















I want to plot a histogram with a contour like this enter image description here



I found this picture in here, but after following the same procedure there I don't get the contour.



I saw this question in stack overflow but it draws an edge over each bar, and I want only the outer contour.



How can I draw this outer contour? (I'm running python 3)










share|improve this question





























    0















    I want to plot a histogram with a contour like this enter image description here



    I found this picture in here, but after following the same procedure there I don't get the contour.



    I saw this question in stack overflow but it draws an edge over each bar, and I want only the outer contour.



    How can I draw this outer contour? (I'm running python 3)










    share|improve this question



























      0












      0








      0








      I want to plot a histogram with a contour like this enter image description here



      I found this picture in here, but after following the same procedure there I don't get the contour.



      I saw this question in stack overflow but it draws an edge over each bar, and I want only the outer contour.



      How can I draw this outer contour? (I'm running python 3)










      share|improve this question
















      I want to plot a histogram with a contour like this enter image description here



      I found this picture in here, but after following the same procedure there I don't get the contour.



      I saw this question in stack overflow but it draws an edge over each bar, and I want only the outer contour.



      How can I draw this outer contour? (I'm running python 3)







      python matplotlib histogram draw






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Dec 27 '18 at 10:52









      Rohan Nadagouda

      265313




      265313










      asked Nov 18 '18 at 10:09









      bobsacamenobobsacameno

      4222622




      4222622
























          1 Answer
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          The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed, which is deprecated in newer versions.



          Here, you would explicitely set the edgecolor to black.
          ec="k", or longer, edgecolor="black".



          import numpy as np
          import matplotlib.pyplot as plt
          plt.style.use('seaborn-white')

          x1 = np.random.normal(0, 0.8, 1000)
          x2 = np.random.normal(-2, 1, 1000)
          x3 = np.random.normal(3, 2, 1000)

          kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")

          plt.hist(x1, **kwargs)
          plt.hist(x2, **kwargs)
          plt.hist(x3, **kwargs);

          plt.show()


          enter image description here






          share|improve this answer























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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            2














            The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed, which is deprecated in newer versions.



            Here, you would explicitely set the edgecolor to black.
            ec="k", or longer, edgecolor="black".



            import numpy as np
            import matplotlib.pyplot as plt
            plt.style.use('seaborn-white')

            x1 = np.random.normal(0, 0.8, 1000)
            x2 = np.random.normal(-2, 1, 1000)
            x3 = np.random.normal(3, 2, 1000)

            kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")

            plt.hist(x1, **kwargs)
            plt.hist(x2, **kwargs)
            plt.hist(x3, **kwargs);

            plt.show()


            enter image description here






            share|improve this answer




























              2














              The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed, which is deprecated in newer versions.



              Here, you would explicitely set the edgecolor to black.
              ec="k", or longer, edgecolor="black".



              import numpy as np
              import matplotlib.pyplot as plt
              plt.style.use('seaborn-white')

              x1 = np.random.normal(0, 0.8, 1000)
              x2 = np.random.normal(-2, 1, 1000)
              x3 = np.random.normal(3, 2, 1000)

              kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")

              plt.hist(x1, **kwargs)
              plt.hist(x2, **kwargs)
              plt.hist(x3, **kwargs);

              plt.show()


              enter image description here






              share|improve this answer


























                2












                2








                2







                The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed, which is deprecated in newer versions.



                Here, you would explicitely set the edgecolor to black.
                ec="k", or longer, edgecolor="black".



                import numpy as np
                import matplotlib.pyplot as plt
                plt.style.use('seaborn-white')

                x1 = np.random.normal(0, 0.8, 1000)
                x2 = np.random.normal(-2, 1, 1000)
                x3 = np.random.normal(3, 2, 1000)

                kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")

                plt.hist(x1, **kwargs)
                plt.hist(x2, **kwargs)
                plt.hist(x3, **kwargs);

                plt.show()


                enter image description here






                share|improve this answer













                The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed, which is deprecated in newer versions.



                Here, you would explicitely set the edgecolor to black.
                ec="k", or longer, edgecolor="black".



                import numpy as np
                import matplotlib.pyplot as plt
                plt.style.use('seaborn-white')

                x1 = np.random.normal(0, 0.8, 1000)
                x2 = np.random.normal(-2, 1, 1000)
                x3 = np.random.normal(3, 2, 1000)

                kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")

                plt.hist(x1, **kwargs)
                plt.hist(x2, **kwargs)
                plt.hist(x3, **kwargs);

                plt.show()


                enter image description here







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 18 '18 at 10:58









                ImportanceOfBeingErnestImportanceOfBeingErnest

                131k13143218




                131k13143218






























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