Spacing string in pie chart












1















I would like to space my character strings from my pie chart.
I try :



df["pnns_groups_1"].value_counts(normalize=True).plot(kind='pie', fontsize=10)
plt.axis('equal')

plt.show()


Here you can see the picture
pie chart










share|improve this question





























    1















    I would like to space my character strings from my pie chart.
    I try :



    df["pnns_groups_1"].value_counts(normalize=True).plot(kind='pie', fontsize=10)
    plt.axis('equal')

    plt.show()


    Here you can see the picture
    pie chart










    share|improve this question



























      1












      1








      1








      I would like to space my character strings from my pie chart.
      I try :



      df["pnns_groups_1"].value_counts(normalize=True).plot(kind='pie', fontsize=10)
      plt.axis('equal')

      plt.show()


      Here you can see the picture
      pie chart










      share|improve this question
















      I would like to space my character strings from my pie chart.
      I try :



      df["pnns_groups_1"].value_counts(normalize=True).plot(kind='pie', fontsize=10)
      plt.axis('equal')

      plt.show()


      Here you can see the picture
      pie chart







      python pandas






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 24 '18 at 14:54









      petezurich

      3,65081834




      3,65081834










      asked Nov 24 '18 at 13:05









      G.MG.M

      397




      397
























          1 Answer
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          0














          I would add a legend on the left using direct methods from matplotlib.
          Here is an example:



          df = pd.DataFrame({
          'mass': [0.130,0.130, 0.130, 0.130, 0.190, 0.185, 4.87 , 5.97],
          'radius': [2439.7,2439.7, 2439.7, 2439.7, 2439.7, 2439.7, 6051.8, 6378.1]},
          index=['0_mercury', '1_Mercury','1_Mercury','Mercury', '1_Mercury','2_Mercury', 'Venus', 'Earth'])

          patches, _ = plt.pie(df['mass'], startangle=90)
          plt.legend(patches, df.index, bbox_to_anchor=(-0.1, 1.))


          Result:



          enter image description here






          share|improve this answer



















          • 1





            thanks @Taras Matsyk

            – G.M
            Nov 24 '18 at 15:32











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

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          active

          oldest

          votes






          active

          oldest

          votes









          0














          I would add a legend on the left using direct methods from matplotlib.
          Here is an example:



          df = pd.DataFrame({
          'mass': [0.130,0.130, 0.130, 0.130, 0.190, 0.185, 4.87 , 5.97],
          'radius': [2439.7,2439.7, 2439.7, 2439.7, 2439.7, 2439.7, 6051.8, 6378.1]},
          index=['0_mercury', '1_Mercury','1_Mercury','Mercury', '1_Mercury','2_Mercury', 'Venus', 'Earth'])

          patches, _ = plt.pie(df['mass'], startangle=90)
          plt.legend(patches, df.index, bbox_to_anchor=(-0.1, 1.))


          Result:



          enter image description here






          share|improve this answer



















          • 1





            thanks @Taras Matsyk

            – G.M
            Nov 24 '18 at 15:32
















          0














          I would add a legend on the left using direct methods from matplotlib.
          Here is an example:



          df = pd.DataFrame({
          'mass': [0.130,0.130, 0.130, 0.130, 0.190, 0.185, 4.87 , 5.97],
          'radius': [2439.7,2439.7, 2439.7, 2439.7, 2439.7, 2439.7, 6051.8, 6378.1]},
          index=['0_mercury', '1_Mercury','1_Mercury','Mercury', '1_Mercury','2_Mercury', 'Venus', 'Earth'])

          patches, _ = plt.pie(df['mass'], startangle=90)
          plt.legend(patches, df.index, bbox_to_anchor=(-0.1, 1.))


          Result:



          enter image description here






          share|improve this answer



















          • 1





            thanks @Taras Matsyk

            – G.M
            Nov 24 '18 at 15:32














          0












          0








          0







          I would add a legend on the left using direct methods from matplotlib.
          Here is an example:



          df = pd.DataFrame({
          'mass': [0.130,0.130, 0.130, 0.130, 0.190, 0.185, 4.87 , 5.97],
          'radius': [2439.7,2439.7, 2439.7, 2439.7, 2439.7, 2439.7, 6051.8, 6378.1]},
          index=['0_mercury', '1_Mercury','1_Mercury','Mercury', '1_Mercury','2_Mercury', 'Venus', 'Earth'])

          patches, _ = plt.pie(df['mass'], startangle=90)
          plt.legend(patches, df.index, bbox_to_anchor=(-0.1, 1.))


          Result:



          enter image description here






          share|improve this answer













          I would add a legend on the left using direct methods from matplotlib.
          Here is an example:



          df = pd.DataFrame({
          'mass': [0.130,0.130, 0.130, 0.130, 0.190, 0.185, 4.87 , 5.97],
          'radius': [2439.7,2439.7, 2439.7, 2439.7, 2439.7, 2439.7, 6051.8, 6378.1]},
          index=['0_mercury', '1_Mercury','1_Mercury','Mercury', '1_Mercury','2_Mercury', 'Venus', 'Earth'])

          patches, _ = plt.pie(df['mass'], startangle=90)
          plt.legend(patches, df.index, bbox_to_anchor=(-0.1, 1.))


          Result:



          enter image description here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 24 '18 at 13:34









          Taras MatsykTaras Matsyk

          1,76521620




          1,76521620








          • 1





            thanks @Taras Matsyk

            – G.M
            Nov 24 '18 at 15:32














          • 1





            thanks @Taras Matsyk

            – G.M
            Nov 24 '18 at 15:32








          1




          1





          thanks @Taras Matsyk

          – G.M
          Nov 24 '18 at 15:32





          thanks @Taras Matsyk

          – G.M
          Nov 24 '18 at 15:32




















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