Matplotlib: categorical plot without strings and inversion of axes












1















Let's take this snippet of Python:



import matplotlib.pyplot as plt

x = [5,4,3,2,1,0]
x_strings = ['5','4','3','2','1','0']
y = [0,1,2,3,4,5]

plt.figure()

plt.subplot(311)
plt.plot(x, y, marker='o')

plt.subplot(312)
plt.plot(x_strings, y, marker='^', color='red')

plt.subplot(313)
plt.plot(x, y, marker='^', color='red')
plt.gca().invert_xaxis()

plt.show()


Which produces these three subplots:



enter image description here



In the top subplot the x values are automatically sorted increasingly despite their order in the given list. If I want to plot x vs. y exactly in the given order of x, then I have two possibilities:



1) Convert x values to strings and have a categorical plot -- that's the middle subplot.



2) Invert the x-axis -- that's the bottom subplot.



Question: is there any other way to do a sort of categorical plot, but without conversion of numbers into strings and without the inversion of the x-axis?



ADD-ON:



If I use set_xticklabels(list), then for some unclear reason the first element in the list is skipped (no matter if I refer to the x or to the x_strings list), and the resulting plot is also totally strange:



import matplotlib.pyplot as plt

x = [5,4,3,2,1,0]
x_strings = ['5','4','3','2','1','0']
y = [0,1,2,3,4,5]

fig, ax = plt.subplots()

ax.set_xticklabels(x)
ax.plot(x, y, marker='^', color='red')

plt.show()


enter image description here










share|improve this question





























    1















    Let's take this snippet of Python:



    import matplotlib.pyplot as plt

    x = [5,4,3,2,1,0]
    x_strings = ['5','4','3','2','1','0']
    y = [0,1,2,3,4,5]

    plt.figure()

    plt.subplot(311)
    plt.plot(x, y, marker='o')

    plt.subplot(312)
    plt.plot(x_strings, y, marker='^', color='red')

    plt.subplot(313)
    plt.plot(x, y, marker='^', color='red')
    plt.gca().invert_xaxis()

    plt.show()


    Which produces these three subplots:



    enter image description here



    In the top subplot the x values are automatically sorted increasingly despite their order in the given list. If I want to plot x vs. y exactly in the given order of x, then I have two possibilities:



    1) Convert x values to strings and have a categorical plot -- that's the middle subplot.



    2) Invert the x-axis -- that's the bottom subplot.



    Question: is there any other way to do a sort of categorical plot, but without conversion of numbers into strings and without the inversion of the x-axis?



    ADD-ON:



    If I use set_xticklabels(list), then for some unclear reason the first element in the list is skipped (no matter if I refer to the x or to the x_strings list), and the resulting plot is also totally strange:



    import matplotlib.pyplot as plt

    x = [5,4,3,2,1,0]
    x_strings = ['5','4','3','2','1','0']
    y = [0,1,2,3,4,5]

    fig, ax = plt.subplots()

    ax.set_xticklabels(x)
    ax.plot(x, y, marker='^', color='red')

    plt.show()


    enter image description here










    share|improve this question



























      1












      1








      1








      Let's take this snippet of Python:



      import matplotlib.pyplot as plt

      x = [5,4,3,2,1,0]
      x_strings = ['5','4','3','2','1','0']
      y = [0,1,2,3,4,5]

      plt.figure()

      plt.subplot(311)
      plt.plot(x, y, marker='o')

      plt.subplot(312)
      plt.plot(x_strings, y, marker='^', color='red')

      plt.subplot(313)
      plt.plot(x, y, marker='^', color='red')
      plt.gca().invert_xaxis()

      plt.show()


      Which produces these three subplots:



      enter image description here



      In the top subplot the x values are automatically sorted increasingly despite their order in the given list. If I want to plot x vs. y exactly in the given order of x, then I have two possibilities:



      1) Convert x values to strings and have a categorical plot -- that's the middle subplot.



      2) Invert the x-axis -- that's the bottom subplot.



      Question: is there any other way to do a sort of categorical plot, but without conversion of numbers into strings and without the inversion of the x-axis?



      ADD-ON:



      If I use set_xticklabels(list), then for some unclear reason the first element in the list is skipped (no matter if I refer to the x or to the x_strings list), and the resulting plot is also totally strange:



      import matplotlib.pyplot as plt

      x = [5,4,3,2,1,0]
      x_strings = ['5','4','3','2','1','0']
      y = [0,1,2,3,4,5]

      fig, ax = plt.subplots()

      ax.set_xticklabels(x)
      ax.plot(x, y, marker='^', color='red')

      plt.show()


      enter image description here










      share|improve this question
















      Let's take this snippet of Python:



      import matplotlib.pyplot as plt

      x = [5,4,3,2,1,0]
      x_strings = ['5','4','3','2','1','0']
      y = [0,1,2,3,4,5]

      plt.figure()

      plt.subplot(311)
      plt.plot(x, y, marker='o')

      plt.subplot(312)
      plt.plot(x_strings, y, marker='^', color='red')

      plt.subplot(313)
      plt.plot(x, y, marker='^', color='red')
      plt.gca().invert_xaxis()

      plt.show()


      Which produces these three subplots:



      enter image description here



      In the top subplot the x values are automatically sorted increasingly despite their order in the given list. If I want to plot x vs. y exactly in the given order of x, then I have two possibilities:



      1) Convert x values to strings and have a categorical plot -- that's the middle subplot.



      2) Invert the x-axis -- that's the bottom subplot.



      Question: is there any other way to do a sort of categorical plot, but without conversion of numbers into strings and without the inversion of the x-axis?



      ADD-ON:



      If I use set_xticklabels(list), then for some unclear reason the first element in the list is skipped (no matter if I refer to the x or to the x_strings list), and the resulting plot is also totally strange:



      import matplotlib.pyplot as plt

      x = [5,4,3,2,1,0]
      x_strings = ['5','4','3','2','1','0']
      y = [0,1,2,3,4,5]

      fig, ax = plt.subplots()

      ax.set_xticklabels(x)
      ax.plot(x, y, marker='^', color='red')

      plt.show()


      enter image description here







      python matplotlib type-conversion categorical-data invert






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 25 '18 at 13:53







      sergiuspro

















      asked Nov 25 '18 at 13:11









      sergiusprosergiuspro

      205




      205
























          2 Answers
          2






          active

          oldest

          votes


















          -1














          Both attempted solutions seem possible. Alternatively, you can always mimic categorical plots by plotting integer numbers and setting the ticklabels to your liking.



          import matplotlib.pyplot as plt

          x = [5,4,3,2,1,0]
          y = [0,1,2,3,4,5]

          fig, ax = plt.subplots()

          ax.plot(range(len(y)), y, marker='^', color='red')

          ax.set_xticks(range(len(y)))
          ax.set_xticklabels(x)

          plt.show()


          enter image description here






          share|improve this answer
























          • Thank you! My implementation of set_xticklabels() was not fully correct.

            – sergiuspro
            Nov 25 '18 at 14:00



















          0














          I have found another way to do it, without being anyhow categorical and without x-axis inversion!



          ax = plt.subplot()
          ax.set_xlim(x[0],x[-1], auto=True) # this line plays the trick
          plt.plot(x, y, marker='^', color='red')


          enter image description here






          share|improve this answer























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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            -1














            Both attempted solutions seem possible. Alternatively, you can always mimic categorical plots by plotting integer numbers and setting the ticklabels to your liking.



            import matplotlib.pyplot as plt

            x = [5,4,3,2,1,0]
            y = [0,1,2,3,4,5]

            fig, ax = plt.subplots()

            ax.plot(range(len(y)), y, marker='^', color='red')

            ax.set_xticks(range(len(y)))
            ax.set_xticklabels(x)

            plt.show()


            enter image description here






            share|improve this answer
























            • Thank you! My implementation of set_xticklabels() was not fully correct.

              – sergiuspro
              Nov 25 '18 at 14:00
















            -1














            Both attempted solutions seem possible. Alternatively, you can always mimic categorical plots by plotting integer numbers and setting the ticklabels to your liking.



            import matplotlib.pyplot as plt

            x = [5,4,3,2,1,0]
            y = [0,1,2,3,4,5]

            fig, ax = plt.subplots()

            ax.plot(range(len(y)), y, marker='^', color='red')

            ax.set_xticks(range(len(y)))
            ax.set_xticklabels(x)

            plt.show()


            enter image description here






            share|improve this answer
























            • Thank you! My implementation of set_xticklabels() was not fully correct.

              – sergiuspro
              Nov 25 '18 at 14:00














            -1












            -1








            -1







            Both attempted solutions seem possible. Alternatively, you can always mimic categorical plots by plotting integer numbers and setting the ticklabels to your liking.



            import matplotlib.pyplot as plt

            x = [5,4,3,2,1,0]
            y = [0,1,2,3,4,5]

            fig, ax = plt.subplots()

            ax.plot(range(len(y)), y, marker='^', color='red')

            ax.set_xticks(range(len(y)))
            ax.set_xticklabels(x)

            plt.show()


            enter image description here






            share|improve this answer













            Both attempted solutions seem possible. Alternatively, you can always mimic categorical plots by plotting integer numbers and setting the ticklabels to your liking.



            import matplotlib.pyplot as plt

            x = [5,4,3,2,1,0]
            y = [0,1,2,3,4,5]

            fig, ax = plt.subplots()

            ax.plot(range(len(y)), y, marker='^', color='red')

            ax.set_xticks(range(len(y)))
            ax.set_xticklabels(x)

            plt.show()


            enter image description here







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Nov 25 '18 at 13:50









            ImportanceOfBeingErnestImportanceOfBeingErnest

            135k13151226




            135k13151226













            • Thank you! My implementation of set_xticklabels() was not fully correct.

              – sergiuspro
              Nov 25 '18 at 14:00



















            • Thank you! My implementation of set_xticklabels() was not fully correct.

              – sergiuspro
              Nov 25 '18 at 14:00

















            Thank you! My implementation of set_xticklabels() was not fully correct.

            – sergiuspro
            Nov 25 '18 at 14:00





            Thank you! My implementation of set_xticklabels() was not fully correct.

            – sergiuspro
            Nov 25 '18 at 14:00













            0














            I have found another way to do it, without being anyhow categorical and without x-axis inversion!



            ax = plt.subplot()
            ax.set_xlim(x[0],x[-1], auto=True) # this line plays the trick
            plt.plot(x, y, marker='^', color='red')


            enter image description here






            share|improve this answer




























              0














              I have found another way to do it, without being anyhow categorical and without x-axis inversion!



              ax = plt.subplot()
              ax.set_xlim(x[0],x[-1], auto=True) # this line plays the trick
              plt.plot(x, y, marker='^', color='red')


              enter image description here






              share|improve this answer


























                0












                0








                0







                I have found another way to do it, without being anyhow categorical and without x-axis inversion!



                ax = plt.subplot()
                ax.set_xlim(x[0],x[-1], auto=True) # this line plays the trick
                plt.plot(x, y, marker='^', color='red')


                enter image description here






                share|improve this answer













                I have found another way to do it, without being anyhow categorical and without x-axis inversion!



                ax = plt.subplot()
                ax.set_xlim(x[0],x[-1], auto=True) # this line plays the trick
                plt.plot(x, y, marker='^', color='red')


                enter image description here







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 27 '18 at 15:28









                sergiusprosergiuspro

                205




                205






























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