Python matplotlib - How to draw line chart with many series?











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I had a python pandas dataframe like below:



    test_score  param   # of Nodes
0 0.497852 relu 1
1 0.68935 relu 2
2 0.701165 relu 3
3 0.735223 identity 1
4 0.735064 identity 2
5 0.735691 identity 3
6 0.72651 logistic 1
7 0.664837 logistic 2
8 0.743445 logistic 3
9 0.705182 tanh 1
10 0.673399 tanh 2
11 0.684129 tanh 3


I would like to draw the line chart with x axis as "# of Nodes", y axis as "test_score", and four param values "relu, identity, logistic, tanh" as 4 series lines.



Could this chart be plotted in python matplotlib?










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  • 1




    Did you try anything? Like df.groupby("param").plot(x="# of nodes", y="test_score")?
    – ImportanceOfBeingErnest
    Nov 11 at 18:16















up vote
-1
down vote

favorite
1












I had a python pandas dataframe like below:



    test_score  param   # of Nodes
0 0.497852 relu 1
1 0.68935 relu 2
2 0.701165 relu 3
3 0.735223 identity 1
4 0.735064 identity 2
5 0.735691 identity 3
6 0.72651 logistic 1
7 0.664837 logistic 2
8 0.743445 logistic 3
9 0.705182 tanh 1
10 0.673399 tanh 2
11 0.684129 tanh 3


I would like to draw the line chart with x axis as "# of Nodes", y axis as "test_score", and four param values "relu, identity, logistic, tanh" as 4 series lines.



Could this chart be plotted in python matplotlib?










share|improve this question




















  • 1




    Did you try anything? Like df.groupby("param").plot(x="# of nodes", y="test_score")?
    – ImportanceOfBeingErnest
    Nov 11 at 18:16













up vote
-1
down vote

favorite
1









up vote
-1
down vote

favorite
1






1





I had a python pandas dataframe like below:



    test_score  param   # of Nodes
0 0.497852 relu 1
1 0.68935 relu 2
2 0.701165 relu 3
3 0.735223 identity 1
4 0.735064 identity 2
5 0.735691 identity 3
6 0.72651 logistic 1
7 0.664837 logistic 2
8 0.743445 logistic 3
9 0.705182 tanh 1
10 0.673399 tanh 2
11 0.684129 tanh 3


I would like to draw the line chart with x axis as "# of Nodes", y axis as "test_score", and four param values "relu, identity, logistic, tanh" as 4 series lines.



Could this chart be plotted in python matplotlib?










share|improve this question















I had a python pandas dataframe like below:



    test_score  param   # of Nodes
0 0.497852 relu 1
1 0.68935 relu 2
2 0.701165 relu 3
3 0.735223 identity 1
4 0.735064 identity 2
5 0.735691 identity 3
6 0.72651 logistic 1
7 0.664837 logistic 2
8 0.743445 logistic 3
9 0.705182 tanh 1
10 0.673399 tanh 2
11 0.684129 tanh 3


I would like to draw the line chart with x axis as "# of Nodes", y axis as "test_score", and four param values "relu, identity, logistic, tanh" as 4 series lines.



Could this chart be plotted in python matplotlib?







python pandas dataframe matplotlib






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share|improve this question













share|improve this question




share|improve this question








edited Nov 11 at 18:28

























asked Nov 11 at 18:11









Jenny Jing Yu

123




123








  • 1




    Did you try anything? Like df.groupby("param").plot(x="# of nodes", y="test_score")?
    – ImportanceOfBeingErnest
    Nov 11 at 18:16














  • 1




    Did you try anything? Like df.groupby("param").plot(x="# of nodes", y="test_score")?
    – ImportanceOfBeingErnest
    Nov 11 at 18:16








1




1




Did you try anything? Like df.groupby("param").plot(x="# of nodes", y="test_score")?
– ImportanceOfBeingErnest
Nov 11 at 18:16




Did you try anything? Like df.groupby("param").plot(x="# of nodes", y="test_score")?
– ImportanceOfBeingErnest
Nov 11 at 18:16












2 Answers
2






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up vote
0
down vote



accepted










You can start by grouping by param, then iterating through your groups and plotting:



g = df.groupby('param')

for p, data in g:
plt.plot(data['# of Nodes'], data['test_score'], label=p)

plt.legend()
plt.xlabel('# of Nodes')
plt.ylabel('Test Score')

plt.show()


enter image description here






share|improve this answer




























    up vote
    1
    down vote













    If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.



    df.pivot(index='# of Nodes', columns='param', values='test_score').plot()


    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








      up vote
      0
      down vote



      accepted










      You can start by grouping by param, then iterating through your groups and plotting:



      g = df.groupby('param')

      for p, data in g:
      plt.plot(data['# of Nodes'], data['test_score'], label=p)

      plt.legend()
      plt.xlabel('# of Nodes')
      plt.ylabel('Test Score')

      plt.show()


      enter image description here






      share|improve this answer

























        up vote
        0
        down vote



        accepted










        You can start by grouping by param, then iterating through your groups and plotting:



        g = df.groupby('param')

        for p, data in g:
        plt.plot(data['# of Nodes'], data['test_score'], label=p)

        plt.legend()
        plt.xlabel('# of Nodes')
        plt.ylabel('Test Score')

        plt.show()


        enter image description here






        share|improve this answer























          up vote
          0
          down vote



          accepted







          up vote
          0
          down vote



          accepted






          You can start by grouping by param, then iterating through your groups and plotting:



          g = df.groupby('param')

          for p, data in g:
          plt.plot(data['# of Nodes'], data['test_score'], label=p)

          plt.legend()
          plt.xlabel('# of Nodes')
          plt.ylabel('Test Score')

          plt.show()


          enter image description here






          share|improve this answer












          You can start by grouping by param, then iterating through your groups and plotting:



          g = df.groupby('param')

          for p, data in g:
          plt.plot(data['# of Nodes'], data['test_score'], label=p)

          plt.legend()
          plt.xlabel('# of Nodes')
          plt.ylabel('Test Score')

          plt.show()


          enter image description here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 11 at 18:17









          sacul

          29k41639




          29k41639
























              up vote
              1
              down vote













              If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.



              df.pivot(index='# of Nodes', columns='param', values='test_score').plot()


              enter image description here






              share|improve this answer



























                up vote
                1
                down vote













                If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.



                df.pivot(index='# of Nodes', columns='param', values='test_score').plot()


                enter image description here






                share|improve this answer

























                  up vote
                  1
                  down vote










                  up vote
                  1
                  down vote









                  If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.



                  df.pivot(index='# of Nodes', columns='param', values='test_score').plot()


                  enter image description here






                  share|improve this answer














                  If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.



                  df.pivot(index='# of Nodes', columns='param', values='test_score').plot()


                  enter image description here







                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited Nov 11 at 21:43

























                  answered Nov 11 at 21:33









                  ALollz

                  10.6k31234




                  10.6k31234






























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