How to find the average of a list in Python

To find the average of a list in Python, you can calculate the sum of the elements in the list and then divide the sum by the number of elements in the list. You can use the sum() function and the len() function to achieve this.

Here's an example:

# The input list
input_list = [1, 2, 3, 4, 5]

# Calculate the sum and the length of the list
list_sum = sum(input_list)
list_length = len(input_list)

# Calculate the average
average = list_sum / list_length

# Print the average
print("The average of the list is:", average)

Output:

The average of the list is: 3.0

In this example, we have an input list called input_list. We use the sum() function to calculate the sum of the elements in the list and the len() function to get the number of elements in the list. We then divide the sum by the length to calculate the average of the list.

Keep in mind that this approach assumes that the list is non-empty. If the list might be empty, you should add a check to avoid a division by zero error:

# Check if the list is non-empty
if list_length > 0:
    average = list_sum / list_length
    print("The average of the list is:", average)
else:
    print("The list is empty.")

Python calculate average of a list:

my_list = [1, 2, 3, 4, 5]
average = sum(my_list) / len(my_list)
print(f"Average: {average}")

Using statistics module for list average in Python:

import statistics
my_list = [1, 2, 3, 4, 5]
average = statistics.mean(my_list)
print(f"Average: {average}")

Python reduce() for finding list average:

from functools import reduce
my_list = [1, 2, 3, 4, 5]
average = reduce(lambda x, y: x + y, my_list) / len(my_list)
print(f"Average: {average}")

Calculate mean of a list using numpy in Python:

import numpy as np
my_list = [1, 2, 3, 4, 5]
average = np.mean(my_list)
print(f"Average: {average}")

Python for loop to calculate list average:

my_list = [1, 2, 3, 4, 5]
total = 0
for num in my_list:
    total += num
average = total / len(my_list)
print(f"Average: {average}")

Calculate list average with math.fsum() in Python:

import math
my_list = [1, 2, 3, 4, 5]
average = math.fsum(my_list) / len(my_list)
print(f"Average: {average}")

Python list comprehension for finding average:

my_list = [1, 2, 3, 4, 5]
average = sum(my_list) / len(my_list) if len(my_list) > 0 else 0
print(f"Average: {average}")

Calculate weighted average of a list in Python:

my_list = [1, 2, 3, 4, 5]
weights = [0.1, 0.2, 0.3, 0.2, 0.2]
weighted_average = sum(x * w for x, w in zip(my_list, weights)) / sum(weights)
print(f"Weighted Average: {weighted_average}")

Finding moving average of a list in Python:

def moving_average(data, window_size):
    cumsum = [0] + list(np.cumsum(data))
    moving_avg = (cumsum[window_size:] - cumsum[:-window_size]) / window_size
    return moving_avg

my_list = [1, 2, 3, 4, 5]
window_size = 2
result = moving_average(my_list, window_size)
print(f"Moving Average: {result}")

Python zip and sum for element-wise list average:

my_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
element_wise_average = [sum(x) / len(x) for x in zip(*my_list)]
print(f"Element-wise Average: {element_wise_average}")

Weighted average using numpy in Python:

import numpy as np
my_list = [1, 2, 3, 4, 5]
weights = [0.1, 0.2, 0.3, 0.2, 0.2]
weighted_average = np.average(my_list, weights=weights)
print(f"Weighted Average: {weighted_average}")

Python pandas for list average calculation:

import pandas as pd
my_list = [1, 2, 3, 4, 5]
df = pd.DataFrame(my_list, columns=['Values'])
average = df['Values'].mean()
print(f"Average: {average}")

Calculate cumulative average of a list in Python:

my_list = [1, 2, 3, 4, 5]
cumulative_average = [sum(my_list[:i+1]) / (i+1) for i in range(len(my_list))]
print(f"Cumulative Average: {cumulative_average}")