Sympy 3 D plotting of parabolic function












0














I am trying to visualize the 3D surface plot of parabolic function with 'm' and 'c' as variables (x-axis and y-axis) and 'S' (Z-axis) in python.



Below is my code:



import pandas as pd
import seaborn as sns
import numpy as np


x = 10*(np.random.rand(100))
y = 10*x + 10*np.random.randn(100)


plt.figure(figsize=(10,10))
plt.scatter(x,y,color='green',label = "Random Points")
plt.xlabel="X-Axis"
plt.ylabel="Y-Axis"
plt.legend(loc='upper left')
plt.show()


from sympy import symbols, diff
from sympy.plotting import plot3d_parametric_surface


sum_Y_nSquare = np.sum((y**2))

sum_x_nMuly_n = np.sum(x*y)

sum_y_n = np.sum(y)



sum_x_nSquare = np.sum((x**2))


sum_x_n = np.sum(x)

m, c = symbols('m c', real=True) # m=> slope of line b=> intercept


S = (sum_Y_nSquare) - (2*m*(sum_x_nMuly_n)) - (2*c*(sum_y_n)) + ((m**2)*(sum_x_n)) + ((2*m*c)*(sum_x_n)) + ((x.size)*(c**2))


'm' and 'c' are variables.



'S' should be bell like curve as there is m^2 and c^2 in function.
How do I plot this using Sympy module in python?










share|improve this question



























    0














    I am trying to visualize the 3D surface plot of parabolic function with 'm' and 'c' as variables (x-axis and y-axis) and 'S' (Z-axis) in python.



    Below is my code:



    import pandas as pd
    import seaborn as sns
    import numpy as np


    x = 10*(np.random.rand(100))
    y = 10*x + 10*np.random.randn(100)


    plt.figure(figsize=(10,10))
    plt.scatter(x,y,color='green',label = "Random Points")
    plt.xlabel="X-Axis"
    plt.ylabel="Y-Axis"
    plt.legend(loc='upper left')
    plt.show()


    from sympy import symbols, diff
    from sympy.plotting import plot3d_parametric_surface


    sum_Y_nSquare = np.sum((y**2))

    sum_x_nMuly_n = np.sum(x*y)

    sum_y_n = np.sum(y)



    sum_x_nSquare = np.sum((x**2))


    sum_x_n = np.sum(x)

    m, c = symbols('m c', real=True) # m=> slope of line b=> intercept


    S = (sum_Y_nSquare) - (2*m*(sum_x_nMuly_n)) - (2*c*(sum_y_n)) + ((m**2)*(sum_x_n)) + ((2*m*c)*(sum_x_n)) + ((x.size)*(c**2))


    'm' and 'c' are variables.



    'S' should be bell like curve as there is m^2 and c^2 in function.
    How do I plot this using Sympy module in python?










    share|improve this question

























      0












      0








      0







      I am trying to visualize the 3D surface plot of parabolic function with 'm' and 'c' as variables (x-axis and y-axis) and 'S' (Z-axis) in python.



      Below is my code:



      import pandas as pd
      import seaborn as sns
      import numpy as np


      x = 10*(np.random.rand(100))
      y = 10*x + 10*np.random.randn(100)


      plt.figure(figsize=(10,10))
      plt.scatter(x,y,color='green',label = "Random Points")
      plt.xlabel="X-Axis"
      plt.ylabel="Y-Axis"
      plt.legend(loc='upper left')
      plt.show()


      from sympy import symbols, diff
      from sympy.plotting import plot3d_parametric_surface


      sum_Y_nSquare = np.sum((y**2))

      sum_x_nMuly_n = np.sum(x*y)

      sum_y_n = np.sum(y)



      sum_x_nSquare = np.sum((x**2))


      sum_x_n = np.sum(x)

      m, c = symbols('m c', real=True) # m=> slope of line b=> intercept


      S = (sum_Y_nSquare) - (2*m*(sum_x_nMuly_n)) - (2*c*(sum_y_n)) + ((m**2)*(sum_x_n)) + ((2*m*c)*(sum_x_n)) + ((x.size)*(c**2))


      'm' and 'c' are variables.



      'S' should be bell like curve as there is m^2 and c^2 in function.
      How do I plot this using Sympy module in python?










      share|improve this question













      I am trying to visualize the 3D surface plot of parabolic function with 'm' and 'c' as variables (x-axis and y-axis) and 'S' (Z-axis) in python.



      Below is my code:



      import pandas as pd
      import seaborn as sns
      import numpy as np


      x = 10*(np.random.rand(100))
      y = 10*x + 10*np.random.randn(100)


      plt.figure(figsize=(10,10))
      plt.scatter(x,y,color='green',label = "Random Points")
      plt.xlabel="X-Axis"
      plt.ylabel="Y-Axis"
      plt.legend(loc='upper left')
      plt.show()


      from sympy import symbols, diff
      from sympy.plotting import plot3d_parametric_surface


      sum_Y_nSquare = np.sum((y**2))

      sum_x_nMuly_n = np.sum(x*y)

      sum_y_n = np.sum(y)



      sum_x_nSquare = np.sum((x**2))


      sum_x_n = np.sum(x)

      m, c = symbols('m c', real=True) # m=> slope of line b=> intercept


      S = (sum_Y_nSquare) - (2*m*(sum_x_nMuly_n)) - (2*c*(sum_y_n)) + ((m**2)*(sum_x_n)) + ((2*m*c)*(sum_x_n)) + ((x.size)*(c**2))


      'm' and 'c' are variables.



      'S' should be bell like curve as there is m^2 and c^2 in function.
      How do I plot this using Sympy module in python?







      python-3.x plot sympy






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 22 at 20:55









      Shubham Singh

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