How to make multiple subplots with dictionary variable?











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I have a dictionary with 17 keys, all with equal number of records. I want to make 17 subplots with each subplot showing each key's graph. When I use my code, I get all 17 lines(line chart) in all subplots.



My Code:



for j in range(1,18):
plt.subplot(4,5,j)
for index, (key, value) in enumerate(degree_gender_ratios.items()):
plt.plot(value)


enter image description here



Can someone help me with this?










share|improve this question


























    up vote
    0
    down vote

    favorite












    I have a dictionary with 17 keys, all with equal number of records. I want to make 17 subplots with each subplot showing each key's graph. When I use my code, I get all 17 lines(line chart) in all subplots.



    My Code:



    for j in range(1,18):
    plt.subplot(4,5,j)
    for index, (key, value) in enumerate(degree_gender_ratios.items()):
    plt.plot(value)


    enter image description here



    Can someone help me with this?










    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I have a dictionary with 17 keys, all with equal number of records. I want to make 17 subplots with each subplot showing each key's graph. When I use my code, I get all 17 lines(line chart) in all subplots.



      My Code:



      for j in range(1,18):
      plt.subplot(4,5,j)
      for index, (key, value) in enumerate(degree_gender_ratios.items()):
      plt.plot(value)


      enter image description here



      Can someone help me with this?










      share|improve this question













      I have a dictionary with 17 keys, all with equal number of records. I want to make 17 subplots with each subplot showing each key's graph. When I use my code, I get all 17 lines(line chart) in all subplots.



      My Code:



      for j in range(1,18):
      plt.subplot(4,5,j)
      for index, (key, value) in enumerate(degree_gender_ratios.items()):
      plt.plot(value)


      enter image description here



      Can someone help me with this?







      python python-3.x python-2.7 jupyter-notebook






      share|improve this question













      share|improve this question











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      share|improve this question










      asked Nov 22 at 14:03









      Prashanth Cp

      306




      306
























          1 Answer
          1






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          up vote
          1
          down vote



          accepted










          I assume that you know the number of entries in your dict, or an upper bound. Define your plot with at least as many subplots as needed (here 4x5 = 20):



          from matplotlib import pyplot as plt
          import numpy as np
          f, ax = plt.subplots(4,5)


          Now, just operate over each of your entries in the dict. No need for enumerations:



          for a, (key, value) in zip(ax.flatten(), degree_gender_ratios.items()):
          a.plot(value)





          share|improve this answer





















          • It works thank you, but by using 4*5=20 subplots, it generates three empty subplots because I only have data enough for 17 such plots. Any way those three could be removed?
            – Prashanth Cp
            Nov 22 at 14:27






          • 1




            That's a different question, answered at the end of a quick search: stackoverflow.com/questions/10035446/…
            – planetmaker
            Nov 22 at 14:29











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          I assume that you know the number of entries in your dict, or an upper bound. Define your plot with at least as many subplots as needed (here 4x5 = 20):



          from matplotlib import pyplot as plt
          import numpy as np
          f, ax = plt.subplots(4,5)


          Now, just operate over each of your entries in the dict. No need for enumerations:



          for a, (key, value) in zip(ax.flatten(), degree_gender_ratios.items()):
          a.plot(value)





          share|improve this answer





















          • It works thank you, but by using 4*5=20 subplots, it generates three empty subplots because I only have data enough for 17 such plots. Any way those three could be removed?
            – Prashanth Cp
            Nov 22 at 14:27






          • 1




            That's a different question, answered at the end of a quick search: stackoverflow.com/questions/10035446/…
            – planetmaker
            Nov 22 at 14:29















          up vote
          1
          down vote



          accepted










          I assume that you know the number of entries in your dict, or an upper bound. Define your plot with at least as many subplots as needed (here 4x5 = 20):



          from matplotlib import pyplot as plt
          import numpy as np
          f, ax = plt.subplots(4,5)


          Now, just operate over each of your entries in the dict. No need for enumerations:



          for a, (key, value) in zip(ax.flatten(), degree_gender_ratios.items()):
          a.plot(value)





          share|improve this answer





















          • It works thank you, but by using 4*5=20 subplots, it generates three empty subplots because I only have data enough for 17 such plots. Any way those three could be removed?
            – Prashanth Cp
            Nov 22 at 14:27






          • 1




            That's a different question, answered at the end of a quick search: stackoverflow.com/questions/10035446/…
            – planetmaker
            Nov 22 at 14:29













          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          I assume that you know the number of entries in your dict, or an upper bound. Define your plot with at least as many subplots as needed (here 4x5 = 20):



          from matplotlib import pyplot as plt
          import numpy as np
          f, ax = plt.subplots(4,5)


          Now, just operate over each of your entries in the dict. No need for enumerations:



          for a, (key, value) in zip(ax.flatten(), degree_gender_ratios.items()):
          a.plot(value)





          share|improve this answer












          I assume that you know the number of entries in your dict, or an upper bound. Define your plot with at least as many subplots as needed (here 4x5 = 20):



          from matplotlib import pyplot as plt
          import numpy as np
          f, ax = plt.subplots(4,5)


          Now, just operate over each of your entries in the dict. No need for enumerations:



          for a, (key, value) in zip(ax.flatten(), degree_gender_ratios.items()):
          a.plot(value)






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 22 at 14:22









          planetmaker

          4,48921629




          4,48921629












          • It works thank you, but by using 4*5=20 subplots, it generates three empty subplots because I only have data enough for 17 such plots. Any way those three could be removed?
            – Prashanth Cp
            Nov 22 at 14:27






          • 1




            That's a different question, answered at the end of a quick search: stackoverflow.com/questions/10035446/…
            – planetmaker
            Nov 22 at 14:29


















          • It works thank you, but by using 4*5=20 subplots, it generates three empty subplots because I only have data enough for 17 such plots. Any way those three could be removed?
            – Prashanth Cp
            Nov 22 at 14:27






          • 1




            That's a different question, answered at the end of a quick search: stackoverflow.com/questions/10035446/…
            – planetmaker
            Nov 22 at 14:29
















          It works thank you, but by using 4*5=20 subplots, it generates three empty subplots because I only have data enough for 17 such plots. Any way those three could be removed?
          – Prashanth Cp
          Nov 22 at 14:27




          It works thank you, but by using 4*5=20 subplots, it generates three empty subplots because I only have data enough for 17 such plots. Any way those three could be removed?
          – Prashanth Cp
          Nov 22 at 14:27




          1




          1




          That's a different question, answered at the end of a quick search: stackoverflow.com/questions/10035446/…
          – planetmaker
          Nov 22 at 14:29




          That's a different question, answered at the end of a quick search: stackoverflow.com/questions/10035446/…
          – planetmaker
          Nov 22 at 14:29


















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