How do you print the average of an element in a list Python?

Find average of a list in python

Prerequisites: sum() function, len() function, round() function, reduce(), lambda, and mean().

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Find average of a list in python
Python Average
Python Average
How to Find Average of A List in Python
“average value of list elements in python” Code Answer
Python answers related to “average value of list elements in python”
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Python List Average Median
Python List Average Mean
Python List Average Standard Deviation
Python List Average Min Max

Given a list of numbers, the task is to find average of that list. Average is the sum of elements divided by the number of elements.

Examples:

Input : [4, 5, 1, 2, 9, 7, 10, 8] Output : Average of the list = 5.75 Explanation: Sum of the elements is 4+5+1+2+9+7+10+8 = 46 and total number of elements is 8. So average is 46 / 8 = 5.75 Input : [15, 9, 55, 41, 35, 20, 62, 49] Output : Average of the list = 35.75 Explanation: Sum of the elements is 15+9+55+41+35+20+62+49 = 286 and total number of elements is 8. So average is 46 / 8 = 35.75

Python Average

The Python Average function is used to find the average of given numbers in a list. The formula to calculate average in Python is done by calculating the sum of the numbers in the list divided by the count of numbers in the list.

The Python average of list can be done in many ways listed below:

Python Average by using the loop
By using sum() and len() built-in average function in Python
Using mean() function to calculate the average from the statistics module.
Using mean() from numpy library

In this Python tutorial, you will learn how to calculate average in Python:

Python Average via Loop
Using sum() and len() built-in functions
Using mean function from statistics module
Using mean() from numpy library

Python Average

There are two methods employed to find the average of a list of numbers in Python:

By calculating the sum of the list and then dividing that number by the length of the list. The length of the list is how many values are in the list. or;
By using the statistics.mean() method.

While both methods return the average of a list of numbers, there are different factors you should consider when choosing which one to use.

In this tutorial, we discuss how to use the aforementioned approaches to find the average of a list in Python. We’ll walk through two examples to help you get started.

How to Find Average of A List in Python

In this article, we will learn to find the average of a list of elements using Python script. We will use some built-in functions and some custom codes as well. Let's first have a quick look over what is a list and then how we find the average of the list in Python.

“average value of list elements in python” Code Answer

average value of list elements in python

python by Comfortable Cow on Feb 14 2020 Comment

Source: www.guru99.com

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Python List Average Median

What’s the median of a Python list? Formally, the median is “the value separating the higher half from the lower half of a data sample” (wiki).

How to calculate the median of a Python list?

Sort the list of elements using the sorted() built-in function in Python.
Calculate the index of the middle element (see graphic) by dividing the length of the list by 2 using integer division.
Return the middle element.

Together, you can simply get the median by executing the expression median = sorted(income)[len(income)//2].

Here’s the concrete code example:

income = [80000, 90000, 100000, 88000] average = sum(income) / len(income) median = sorted(income)[len(income)//2] print(average) # 89500.0 print(median) # 90000.0

Related tutorials:

Detailed tutorial how to sort a list in Python on this blog.

Python List Average Mean

The mean value is exactly the same as the average value: sum up all values in your sequence and divide by the length of the sequence. You can use either the calculation sum(list) / len(list) or you can import the statistics module and call mean(list).

Here are both examples:

lst = [1, 4, 2, 3] # method 1 average = sum(lst) / len(lst) print(average) # 2.5 # method 2 import statistics print(statistics.mean(lst)) # 2.5

Both methods are equivalent. The statistics module has some more interesting variations of the mean() method (source):

mean()	Arithmetic mean (“average”) of data.
median()	Median (middle value) of data.
median_low()	Low median of data.
median_high()	High median of data.
median_grouped()	Median, or 50th percentile, of grouped data.
mode()	Mode (most common value) of discrete data.

These are especially interesting if you have two median values and you want to decide which one to take.

Python List Average Standard Deviation

Standard deviation is defined as the deviation of the data values from the average (wiki). It’s used to measure the dispersion of a data set. You can calculate the standard deviation of the values in the list by using the statistics module:

import statistics as s lst = [1, 0, 4, 3] print(s.stdev(lst)) # 1.8257418583505538

Python List Average Min Max

In contrast to the average, there are Python built-in functions that calculate the minimum and maximum of a given list. The min(list) method calculates the minimum value and the max(list) method calculates the maximum value in a list.

Here’s an example of the minimum, maximum and average computations on a Python list:

import statistics as s lst = [1, 1, 2, 0] average = sum(lst) / len(lst) minimum = min(lst) maximum = max(lst) print(average) # 1.0 print(minimum) # 0 print(maximum) # 2