Trying To Plot A Defined Function

I have a problem. I'm trying to plot a function for different values of d. I have defined d as: d = np.arange(0.0, 100.0, 0.01) But I still get the same error: TypeError: only l

Solution 1:

You have to vectorize your function teo_function to work with an array:

import numpy as np
import matplotlib.pyplot as plt
import math

defteo_function(d):
    return2*math.pi*math.sqrt(((1**2)/(12+d**2))/9.81*d)
vecfunc = np.vectorize(teo_function)

d = np.arange(0.0, 100.0, 0.01)
T = vecfunc(d)
plt.plot (d, T, 'bo', d, T, 'k')
plt.show()

Solution 2:

the function teo_function uses math.sqrt which works on scalars, not on arrays. If you ever use numpy arrays, use the math operations which are included in numpy, eg. numpy.sqrt. Numpy has equivalent to all functions i know in the math.module optimized for use in numpy arrays.

Numpy's functions will also work on scalars, lists, tuples and more types.

eg:

def teo_function(d):
    return2*np.pi*np.sqrt(((1**2)/(12+d**2))/9.81*d)

Solution 3:

Another way. If you want your function to return a list

def teo_function(ds):
    return [2*math.pi*math.sqrt(((1**2)/(12+d**2))/9.81*d) for d in ds]