Scatter Plot and missing values












1















I'm very new to python and I'm experimenting with matplotlib.pyplot.
I'm plotting my data using a scatter plot. What I could see from the descriptive statistics all of my columns have 1/4 of missing values.
So my question is how does a scatter plot treats missing values?
does it ignore them (excluding them from the plot)
or
it replaces the values by 0?
Thanks in advance.










share|improve this question



























    1















    I'm very new to python and I'm experimenting with matplotlib.pyplot.
    I'm plotting my data using a scatter plot. What I could see from the descriptive statistics all of my columns have 1/4 of missing values.
    So my question is how does a scatter plot treats missing values?
    does it ignore them (excluding them from the plot)
    or
    it replaces the values by 0?
    Thanks in advance.










    share|improve this question

























      1












      1








      1








      I'm very new to python and I'm experimenting with matplotlib.pyplot.
      I'm plotting my data using a scatter plot. What I could see from the descriptive statistics all of my columns have 1/4 of missing values.
      So my question is how does a scatter plot treats missing values?
      does it ignore them (excluding them from the plot)
      or
      it replaces the values by 0?
      Thanks in advance.










      share|improve this question














      I'm very new to python and I'm experimenting with matplotlib.pyplot.
      I'm plotting my data using a scatter plot. What I could see from the descriptive statistics all of my columns have 1/4 of missing values.
      So my question is how does a scatter plot treats missing values?
      does it ignore them (excluding them from the plot)
      or
      it replaces the values by 0?
      Thanks in advance.







      python matplotlib missing-data






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      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 21 '18 at 10:59









      Chrissie M.Chrissie M.

      334




      334
























          1 Answer
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          If there are nan they are not plotted.



          Example:



          x = [1,2,3,4,5]
          y = [1,np.nan,np.nan, 3, 4]
          plt.scatter(x, y)
          plt.xlabel('x')
          plt.ylabel('y')
          plt.show()


          enter image description here



          On the contrary with y = [1,0,0,3,4]:
          enter image description here



          Of course you can replace the nan with 0 or other values. The 'how' depends the kind of your data. For list:



          import math
          y = [0 if math.isnan(e) else e for e in y]





          share|improve this answer

























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            1 Answer
            1






            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            1














            If there are nan they are not plotted.



            Example:



            x = [1,2,3,4,5]
            y = [1,np.nan,np.nan, 3, 4]
            plt.scatter(x, y)
            plt.xlabel('x')
            plt.ylabel('y')
            plt.show()


            enter image description here



            On the contrary with y = [1,0,0,3,4]:
            enter image description here



            Of course you can replace the nan with 0 or other values. The 'how' depends the kind of your data. For list:



            import math
            y = [0 if math.isnan(e) else e for e in y]





            share|improve this answer






























              1














              If there are nan they are not plotted.



              Example:



              x = [1,2,3,4,5]
              y = [1,np.nan,np.nan, 3, 4]
              plt.scatter(x, y)
              plt.xlabel('x')
              plt.ylabel('y')
              plt.show()


              enter image description here



              On the contrary with y = [1,0,0,3,4]:
              enter image description here



              Of course you can replace the nan with 0 or other values. The 'how' depends the kind of your data. For list:



              import math
              y = [0 if math.isnan(e) else e for e in y]





              share|improve this answer




























                1












                1








                1







                If there are nan they are not plotted.



                Example:



                x = [1,2,3,4,5]
                y = [1,np.nan,np.nan, 3, 4]
                plt.scatter(x, y)
                plt.xlabel('x')
                plt.ylabel('y')
                plt.show()


                enter image description here



                On the contrary with y = [1,0,0,3,4]:
                enter image description here



                Of course you can replace the nan with 0 or other values. The 'how' depends the kind of your data. For list:



                import math
                y = [0 if math.isnan(e) else e for e in y]





                share|improve this answer















                If there are nan they are not plotted.



                Example:



                x = [1,2,3,4,5]
                y = [1,np.nan,np.nan, 3, 4]
                plt.scatter(x, y)
                plt.xlabel('x')
                plt.ylabel('y')
                plt.show()


                enter image description here



                On the contrary with y = [1,0,0,3,4]:
                enter image description here



                Of course you can replace the nan with 0 or other values. The 'how' depends the kind of your data. For list:



                import math
                y = [0 if math.isnan(e) else e for e in y]






                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Nov 21 '18 at 12:37

























                answered Nov 21 '18 at 12:30









                JoeJoe

                6,08421430




                6,08421430
































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