Create 2 Dimensional Player List consist of Player Name and Score

player =[["john",90],["Brian", 70],["Jane",69],["Aaron",57],["Jone",78]]

We need to do some list calculation so import numpy

import numpy as np

Get the Player Average Call (1) First we need to select all the rows (2) the Select column (1) to get the Average

np_player = np.array(player)

np_player

array([['john', '90'],
       ['Brian', '70'],
       ['Jane', '69'],
       ['Aaron', '57'],
       ['Jone', '78']], dtype='<U11')

Select all Row one to Connect string to float

np_player[:,1]

array(['90', '70', '69', '57', '78'], dtype='<U11')

np_player_2 = np_player[:,1].astype(float)

np_player_2

array([90., 70., 69., 57., 78.])

Get the Mean Value

means= np.mean(np_player_2)

means

72.8

Get Meadian Value

median = np.median(np_player_2)

median

70.0

Get Standard Deviation

stds =  np.std(np_player_2)

stds

10.906878563548785