Solving a formula with decimal values of x and plotting the results



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-2















I try to obtain y for x values [250.5(first), 50.5(last), -10(increment)]:



y = 100 * exp(-5000/x)


and, then, plot it. I did



import numpy as np
import matplotlib.pyplot as plt

for i in numpy.arange(250.5, 50.5, -10):
print(i, 100 * exp(-5000/i))
plt.plot(i, y)
plt.show()


But it gets error as:




NameError: name 'numpy' is not defined




I appreciate if someone could help me.
Thanks.










share|improve this question



















  • 3





    You've imported numpy as np, but in the code you are using numpy.arange, you need to change this to np.arange

    – DavidG
    Nov 15 '18 at 16:07











  • Yes. Thanks for your help.

    – Fara
    Nov 15 '18 at 16:10











  • But I still don't get any plot. Do you know how I can solve this.

    – Fara
    Nov 15 '18 at 16:39











  • Do you mean the figure is empty?

    – DavidG
    Nov 15 '18 at 16:56


















-2















I try to obtain y for x values [250.5(first), 50.5(last), -10(increment)]:



y = 100 * exp(-5000/x)


and, then, plot it. I did



import numpy as np
import matplotlib.pyplot as plt

for i in numpy.arange(250.5, 50.5, -10):
print(i, 100 * exp(-5000/i))
plt.plot(i, y)
plt.show()


But it gets error as:




NameError: name 'numpy' is not defined




I appreciate if someone could help me.
Thanks.










share|improve this question



















  • 3





    You've imported numpy as np, but in the code you are using numpy.arange, you need to change this to np.arange

    – DavidG
    Nov 15 '18 at 16:07











  • Yes. Thanks for your help.

    – Fara
    Nov 15 '18 at 16:10











  • But I still don't get any plot. Do you know how I can solve this.

    – Fara
    Nov 15 '18 at 16:39











  • Do you mean the figure is empty?

    – DavidG
    Nov 15 '18 at 16:56














-2












-2








-2








I try to obtain y for x values [250.5(first), 50.5(last), -10(increment)]:



y = 100 * exp(-5000/x)


and, then, plot it. I did



import numpy as np
import matplotlib.pyplot as plt

for i in numpy.arange(250.5, 50.5, -10):
print(i, 100 * exp(-5000/i))
plt.plot(i, y)
plt.show()


But it gets error as:




NameError: name 'numpy' is not defined




I appreciate if someone could help me.
Thanks.










share|improve this question
















I try to obtain y for x values [250.5(first), 50.5(last), -10(increment)]:



y = 100 * exp(-5000/x)


and, then, plot it. I did



import numpy as np
import matplotlib.pyplot as plt

for i in numpy.arange(250.5, 50.5, -10):
print(i, 100 * exp(-5000/i))
plt.plot(i, y)
plt.show()


But it gets error as:




NameError: name 'numpy' is not defined




I appreciate if someone could help me.
Thanks.







python matplotlib






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 15 '18 at 16:07









Ali AzG

7631718




7631718










asked Nov 15 '18 at 16:04









FaraFara

167




167







  • 3





    You've imported numpy as np, but in the code you are using numpy.arange, you need to change this to np.arange

    – DavidG
    Nov 15 '18 at 16:07











  • Yes. Thanks for your help.

    – Fara
    Nov 15 '18 at 16:10











  • But I still don't get any plot. Do you know how I can solve this.

    – Fara
    Nov 15 '18 at 16:39











  • Do you mean the figure is empty?

    – DavidG
    Nov 15 '18 at 16:56













  • 3





    You've imported numpy as np, but in the code you are using numpy.arange, you need to change this to np.arange

    – DavidG
    Nov 15 '18 at 16:07











  • Yes. Thanks for your help.

    – Fara
    Nov 15 '18 at 16:10











  • But I still don't get any plot. Do you know how I can solve this.

    – Fara
    Nov 15 '18 at 16:39











  • Do you mean the figure is empty?

    – DavidG
    Nov 15 '18 at 16:56








3




3





You've imported numpy as np, but in the code you are using numpy.arange, you need to change this to np.arange

– DavidG
Nov 15 '18 at 16:07





You've imported numpy as np, but in the code you are using numpy.arange, you need to change this to np.arange

– DavidG
Nov 15 '18 at 16:07













Yes. Thanks for your help.

– Fara
Nov 15 '18 at 16:10





Yes. Thanks for your help.

– Fara
Nov 15 '18 at 16:10













But I still don't get any plot. Do you know how I can solve this.

– Fara
Nov 15 '18 at 16:39





But I still don't get any plot. Do you know how I can solve this.

– Fara
Nov 15 '18 at 16:39













Do you mean the figure is empty?

– DavidG
Nov 15 '18 at 16:56






Do you mean the figure is empty?

– DavidG
Nov 15 '18 at 16:56













2 Answers
2






active

oldest

votes


















1














There are too many errors in the code to go through them one by one.
To plot the curve you want you would evaluate the function you have on an array.



import numpy as np
import matplotlib.pyplot as plt

x = np.arange(250.5, 50.5, -10)
y = 100 * np.exp(-5000/x)

plt.plot(x, y)
plt.show()





share|improve this answer






























    1














    When you did



     import the numpy as np


    then you should use np instead of numpy:



    import numpy as np
    import matplotlib.pyplot as plt

    for i in np.arange(250.5, 50.5, -10):
    print(i, 100 * exp(-5000/i))
    plt.plot(i, y)
    plt.show()





    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














      There are too many errors in the code to go through them one by one.
      To plot the curve you want you would evaluate the function you have on an array.



      import numpy as np
      import matplotlib.pyplot as plt

      x = np.arange(250.5, 50.5, -10)
      y = 100 * np.exp(-5000/x)

      plt.plot(x, y)
      plt.show()





      share|improve this answer



























        1














        There are too many errors in the code to go through them one by one.
        To plot the curve you want you would evaluate the function you have on an array.



        import numpy as np
        import matplotlib.pyplot as plt

        x = np.arange(250.5, 50.5, -10)
        y = 100 * np.exp(-5000/x)

        plt.plot(x, y)
        plt.show()





        share|improve this answer

























          1












          1








          1







          There are too many errors in the code to go through them one by one.
          To plot the curve you want you would evaluate the function you have on an array.



          import numpy as np
          import matplotlib.pyplot as plt

          x = np.arange(250.5, 50.5, -10)
          y = 100 * np.exp(-5000/x)

          plt.plot(x, y)
          plt.show()





          share|improve this answer













          There are too many errors in the code to go through them one by one.
          To plot the curve you want you would evaluate the function you have on an array.



          import numpy as np
          import matplotlib.pyplot as plt

          x = np.arange(250.5, 50.5, -10)
          y = 100 * np.exp(-5000/x)

          plt.plot(x, y)
          plt.show()






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 15 '18 at 18:11









          ImportanceOfBeingErnestImportanceOfBeingErnest

          143k13172251




          143k13172251























              1














              When you did



               import the numpy as np


              then you should use np instead of numpy:



              import numpy as np
              import matplotlib.pyplot as plt

              for i in np.arange(250.5, 50.5, -10):
              print(i, 100 * exp(-5000/i))
              plt.plot(i, y)
              plt.show()





              share|improve this answer



























                1














                When you did



                 import the numpy as np


                then you should use np instead of numpy:



                import numpy as np
                import matplotlib.pyplot as plt

                for i in np.arange(250.5, 50.5, -10):
                print(i, 100 * exp(-5000/i))
                plt.plot(i, y)
                plt.show()





                share|improve this answer

























                  1












                  1








                  1







                  When you did



                   import the numpy as np


                  then you should use np instead of numpy:



                  import numpy as np
                  import matplotlib.pyplot as plt

                  for i in np.arange(250.5, 50.5, -10):
                  print(i, 100 * exp(-5000/i))
                  plt.plot(i, y)
                  plt.show()





                  share|improve this answer













                  When you did



                   import the numpy as np


                  then you should use np instead of numpy:



                  import numpy as np
                  import matplotlib.pyplot as plt

                  for i in np.arange(250.5, 50.5, -10):
                  print(i, 100 * exp(-5000/i))
                  plt.plot(i, y)
                  plt.show()






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 15 '18 at 16:10









                  Ali TalebzadehAli Talebzadeh

                  191




                  191



























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