np.array average row
>>> a = np.array([[1, 2], [3, 4]])
>>> np.mean(a)
2.5
>>> np.mean(a, axis=0)
array([2., 3.])
>>> np.mean(a, axis=1)
array([1.5, 3.5])np.array average row
>>> a = np.array([[1, 2], [3, 4]])
>>> np.mean(a)
2.5
>>> np.mean(a, axis=0)
array([2., 3.])
>>> np.mean(a, axis=1)
array([1.5, 3.5])find average of list python
list = [15, 18, 2, 36, 12, 78, 5, 6, 9]
# for older versions of python
average_method_one = sum(list) / len(list)
# for python 2 convert len to a float to get float division
average_method_two = sum(list) / float(len(list))
# round answers using round() or ceil()
print(average_method_one)
print(average_method_two)numpy average
import numpy as np
a = np.arange(6).reshape(3,2)
average = np.average(a)python get average of list
#python3
def average(list):
result = sum(list) / len(list)
return result
list = [68,68,71,71,71,75,71,78,91,98,75,71,84]
print(average(list))python find average of list
# A function that finds an average of a list of numbers
numbers = [1,2,3,4,5,6,7,889,102390143]
def find_average(number_list):
total = 0
for number in number_list:
total += number
average = total / len(number_list)
print("Your average is:", average)
find_average(numbers)Copyright © 2021 Codeinu
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