Python Basics

Python Strings

Python Dictionary

Python List

Exception Handling

Python Conversions

Python Collections

Python Date

Python Examples

- Float to int Python
- Get tofixed of a value using round() Python
- Check if a key exist in a dictionary
- Generate a random number in python
- Find the square root in python
- Reverse a string or number
- Get last item from a List
- Return multiple values from a function
- Remove falsy values from python List
- Use separator in print() method of python
- One line code to get the sum of a list in python
- Python check NaN values with and without using packages
- for loop N times in python
- Get input as a number in python
- Get yesterday date in python
- Read JSON data in python
- Check for falsy values
- How to read a JSON file in Python
- Get Key from a Dictionary using Value in Python

Python Validations

Python is a versatile language that can be used for a wide variety of programming tasks. One such task is working with lists. In this article, we'll take a look at how to get the average of a list in Python.

There are a few different ways to calculate the average of a list in Python. The most straightforward way is to use the built-in **sum()** and **len()** functions. **sum()** will add up all of the values in the list, and **len()** will give us the number of items in the list. We can then divide the sum by the length to get the average.

Another way to calculate the average is to use the **mean()** function from the statistics module. This method is a bit more concise and is the recommended way if you're working with large lists.

Once you have the average, you might want to round it to a specific number of decimal places. To do this, you can use the **round()** function.

We'll walk through each of these methods with some examples so you can see how they work.

In Python, the **mean()** function of the statistics module can be used to calculate the average of a list of values. The **mean() **function takes a list of values as an argument and returns the average of the values in the list.

Below is the syntax to find the average of List numbers in Python.

`mean(List l)`

**Code example**

```
from statistics import mean
# create a list
numbers = [30, 50, 90, 70, 20, 10]
result_avg = mean(numbers)
print("Average is: ", result_avg)
```

**Output**

`Average is: 45`

The code is first importing the mean function from the statistics module. It is then creating a list of **numbers** and using the **mean()** function to find the average of the numbers in the list. Finally, it is printing the average.

Python has many built-in functions that allow you to perform various operations on lists. Two such functions are the sum() and **len()** functions. The sum() function returns the sum of all the values in a list, while the **len()** function returns the number of values in a list. To get the average of all the values in a list, you can use the **sum()** and** len()** functions together.

**Syntax**

`sum(List l) / len(List l)`

**Code example**

```
# create a list
numbers = [30, 50, 90, 70, 20, 10]
# find the average using sum() and len() functions
result_avg =sum(numbers) / len(numbers)
print("Average is: ", result_avg)
```

**Output**

`Average is: 45.0`

This code example finds the average of a list of numbers. The **sum() **function calculates the sum of the numbers in the list, and the **len()** function calculates the number of items in the list. The result is divided by **len()** to find the average.

Python's NumPy library provides a **numpy.mean()** function that calculates the average of a list of values. This function takes a list as an argument and returns the average of the list's values as a **float**. So if you are using the numpy library in your project, you can find the average of list values using its numpy.mean() function.

Below is the syntax:

`numpy.mean(List)`

**Code example**

```
import numpy as np
numbers = [30, 50, 90, 70, 20, 10]
# find the average using np.mean() function
result = np.mean(numbers)
print("Average is: ", result)
```

**Output**

`Average is: 45.0`

In the above code example:

- Import the `
**numpy**` library as `**np**`. - Create a list of
**numbers**. - Use the `
**np.mean()**` function to calculate the average of the numbers in the list. - Print the
**result.**

In order to get the average of a list of values using **reduce()** and** lambda functions **in python, we first need to import the **reduce()** function from the functools module. Then, we can create a lambda function that takes in two parameters, the first being the accumulator and the second being the current value. Within the lambda function, we can then return the accumulator + the current value. Finally, we can call the reduce() function on our list of values and pass in our lambda function as the first argument.

```
from functools import reduce
numbers = [30, 50, 90, 70, 20, 10]
# find the average using reduce() and lambda functions
result = reduce(lambda a, b: a + b, numbers) / len(numbers)
print("Average is: ", result)
```

**Output**

`Average is: 45.0`

This code calculates the average of a list of numbers using the reduce() and **lambda** functions. The **reduce()** function applies the lambda function to the first two elements of the list, then applies the lambda function to the result of that operation and the next element in the list, and so on. The **lambda** function simply adds the two operands and divides them by the **length** of the list to find the **average**.

Here, we will take a list of numbers as input and print the average of the list using a **for loop** in **Python**. We will iterate through the items of the list and then add them in each iteration. Then to calculate the average, we will divide the **sum **by the length of the string.

```
numbers = [30, 50, 90, 70, 20, 10]
num_sum = 0
for num in numbers:
num_sum += num
average = num_sum / len(numbers)
print("Calculated average is: ", average)
```

**Output**

`Calculated average is: 45.0`

The code is an example of how to calculate the average of a list of numbers. The list of numbers is stored in the variable "**numbers**". The variable "num_sum" is used to store the sum of all the numbers in the list. The "**For**" loop iterates over each number in the list, and adds it to the variable "**num_sum**". Finally, the variable "average" is calculated by dividing the variable "**num_sum**" by the length of the list of "**numbers**".

In order to find the average of a list of values, we can use the **pandas.Series(List).mean()** function. This function will take in a list as an input and return the average of the values in the list.

**Syntax**

```
import pandas as pd
pd.Series(List).mean()
```

**Code example**

```
import pandas as pd
numbers = [30, 50, 90, 70, 20, 10]
result_average = pd.Series(numbers).mean()
print("Calculated average is: ", result_average)
```

**Output**

`Calculated average is: 45.0`

The code is importing the "**pandas"** library as **pd**. Then it is creating a list called **numbers**. After that, it is using the Series function in pandas to take the mean of the **numbers** in the list. Finally, it is printing the **result**.

Was this helpful?

## 0 Comments