TypeError: only length-1 arrays can be converted to Python scalars with NUMPY

Question

# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt 
import numpy as np 
import math


#task 2e

x = np.linspace(-0.0001,0.1,50) 

#constants
e0=8.85*10 ** (-12)         


        

Answer 1

Use numpy.sqrt rather than math.sqrt. numpy.sqrt expects a scalar or array as input, on the other hand math.sqrt can only handle scalars.

>>> import numpy as np
>>> import math
>>> a = np.arange(5)
>>> np.sqrt(a)
array([ 0.        ,  1.        ,  1.41421356,  1.73205081,  2.        ])
#error
>>> math.sqrt(a)
Traceback (most recent call last):
  File "<ipython-input-78-c7d50051514f>", line 1, in <module>
    math.sqrt(a)
TypeError: only length-1 arrays can be converted to Python scalars

>>> 

Answer 2

use np instead of math.sqrt

v=(Q/((4*math.pi*e0)*(np.sqrt((x**2+r0**2)))))


v2=v+(Q2/((4*math.pi*e0)*(np.sqrt(((x-2)**2+r2**2)))))