How to calculate distance between two points in 3D

I have two lists. Each list has three lines. The coordinate system is (x,y,z) from up to down for each list. I tried to use array but it didn't work. Here are my codes.

import numpy as np
p1 = np.array([list(marker_11_x['11:-.X']), list(marker_11_y['11:-.Y']), 
list(marker_11_z['11:-.Z']) ])
p2 = np.array([list(original_x['13:-.X']), list(original_y['13:-.Y']), 
list(original_z['13:-.Z'])])

squared_dist = np.sum(((p1[0]-p2[0])**2+(p1[1]-p2[1] )**2+(p1[3]-p2[3] )**2), 
axis=0)
dist = np.sqrt(squared_dist)

list A = [-232.34, -233.1, -232.44, -233.02, -232.47, -232.17, -232.6, -232.29, -231.65]
[-48.48, -49.48, -50.81, -51.42, -51.95, -52.25, -52.83, -53.63, -53.24]
[-260.77, -253.6, -250.25, -248.88, -248.06, -247.59, -245.82, -243.98, -243.76]

List B = [-302.07, -302.13, -303.13, -302.69, -303.03, -302.55, -302.6, -302.46, -302.59]
[-1.73, -3.37, -4.92, -4.85, -5.61, -5.2, -5.91, -6.41, -7.4]
[-280.1, -273.02, -269.74, -268.32, -267.45, -267.22, -266.01, -264.79, -264.96]

TypeError Traceback (most recent call last) pandas_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()

TypeError: an integer is required

During handling of the above exception, another exception occurred:

KeyError Traceback (most recent call last) in () 1 import numpy as np 2 p1 = np.array([list(marker_11_x['11:-.X']), list(marker_11_y['11:-.Y']), list(marker_11_z['11:-.Z']) ]) ----> 3 p2 = np.array([list(original_x['13:-.X']), list(original_y['13:-.Y']), list(original_z['13:-.Z'])]) 4 5 squared_dist = np.sum(((p1[0]-p2[0])**2+(p1[1]-p2[1] )**2+(p1[3]-p2[3] )**2), axis=0)

E:\ProgramData\Anaconda3\lib\site-packages\pandas\core\series.py in getitem(self, key) 764 key = com._apply_if_callable(key, self) 765 try: --> 766 result = self.index.get_value(self, key) 767 768 if not is_scalar(result):

E:\ProgramData\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_value(self, series, key) 3101 try: 3102 return self._engine.get_value(s, k, -> 3103 tz=getattr(series.dtype, 'tz', None)) 3104 except KeyError as e1: 3105 if len(self) > 0 and self.inferred_type in ['integer', 'boolean']:

pandas_libs\index.pyx in pandas._libs.index.IndexEngine.get_value()

pandas_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()

KeyError: '13:-.X'

The code and also the formula is gonna be like this :

one = [x1,y1,z1] # first coordinates
two = [x2,y2,z2] # second coordinates

def distance_finder(one,two) :
    return (((x2-x1)**2)+((y2-y1)**2)+((z2-z1)**2))**(1/2)