Different type of Calculation in Python using Numpy and Pandas Library

import pandas as pd
import numpy as np
from scipy.stats import kurtosis
from scipy.stats import skew
my_array = []
a = int(input("Size of array:"))  #size of array
for i in range(a):
    my_array.append(int(input("Element : ")))     #appending to array
my_array = np.array(my_array)                     #storing into a numpy array
print(list(my_array))
x = (np.round(my_array,3))                        #making to 3 decimal values
y = skew(x)                                       #calculating Skewness value
print(round(y,3))
z = kurtosis(x)                                   #calculating kurtosis value
print(round(z,3))
print(np.var(list(x)))                            #calculating variance
print(round(np.std(x),3))                         #calculating std deviation

Output : 
Size of array:5
Element : 24
Element : 567
Element : 70
Element : 4
Element : 45
[24, 567, 70, 4, 45]
1.461
0.197
45637.2
213.629