How to Check If a List Contains a Number in Python

Introduction

In this lab, you will learn how to check if a list contains a number in Python, focusing on handling mixed-type lists. You'll start by exploring mixed-type lists, which contain elements of different data types like integers, strings, and booleans.

You'll create a mixed_list.py file, populate it with a mixed-type list, and practice accessing and modifying its elements using indexing. This hands-on experience will provide a foundation for identifying numeric elements within such lists using techniques like any() and isinstance(), which are covered in subsequent steps.

Skills Graph

Explore Mixed-Type Lists

In this step, you will learn about mixed-type lists in Python. A mixed-type list is a list that contains elements of different data types, such as integers, strings, and booleans. Understanding how to work with mixed-type lists is essential for handling diverse data in your Python programs.

First, let's create a mixed-type list. Open the VS Code editor in the LabEx environment and create a new file named mixed_list.py in the ~/project directory.

## Create a mixed-type list
my_list = [1, "hello", 3.14, True]

## Print the list
print(my_list)

Save the file. Now, execute the script using the python command in the terminal:

python ~/project/mixed_list.py

You should see the following output:

[1, 'hello', 3.14, True]

As you can see, the list my_list contains an integer, a string, a float, and a boolean value.

Next, let's access elements of the mixed-type list using indexing:

## Access elements of the list
first_element = my_list[0]
second_element = my_list[1]
third_element = my_list[2]
fourth_element = my_list[3]

## Print the elements
print("First element:", first_element)
print("Second element:", second_element)
print("Third element:", third_element)
print("Fourth element:", fourth_element)

Add these lines to your mixed_list.py file and save it. Then, run the script again:

python ~/project/mixed_list.py

The output should be:

[1, 'hello', 3.14, True]
First element: 1
Second element: hello
Third element: 3.14
Fourth element: True

You can also modify elements of a mixed-type list:

## Modify an element
my_list[0] = "new value"

## Print the modified list
print(my_list)

Add these lines to your mixed_list.py file and save it. Execute the script one more time:

python ~/project/mixed_list.py

The output should now be:

['new value', 'hello', 3.14, True]

In this example, we changed the first element of the list from an integer to a string.

Mixed-type lists are flexible and can be useful in various situations. However, it's important to be mindful of the data types when performing operations on the elements of a mixed-type list to avoid unexpected errors.

Use any() with isinstance()

In this step, you will learn how to use the any() function in combination with the isinstance() function to check if a list contains at least one element of a specific type. This is particularly useful when working with mixed-type lists.

The any() function returns True if any element in an iterable (like a list) is true. Otherwise, it returns False. The isinstance() function checks if an object is an instance of a specified class or type.

Let's create a Python script to demonstrate this. In the VS Code editor, create a new file named any_isinstance.py in the ~/project directory.

## Create a mixed-type list
my_list = [1, "hello", 3.14, True]

## Check if the list contains any integers
has_integer = any(isinstance(x, int) for x in my_list)

## Print the result
print("List contains an integer:", has_integer)

## Check if the list contains any strings
has_string = any(isinstance(x, str) for x in my_list)

## Print the result
print("List contains a string:", has_string)

## Check if the list contains any floats
has_float = any(isinstance(x, float) for x in my_list)

## Print the result
print("List contains a float:", has_float)

## Check if the list contains any booleans
has_bool = any(isinstance(x, bool) for x in my_list)

## Print the result
print("List contains a boolean:", has_bool)

Save the file. Now, execute the script using the python command in the terminal:

python ~/project/any_isinstance.py

You should see the following output:

List contains an integer: True
List contains a string: True
List contains a float: True
List contains a boolean: True

In this example, we used a generator expression (isinstance(x, int) for x in my_list) inside the any() function. This generator expression yields True if an element x is an instance of int, and False otherwise. The any() function then checks if any of these values are True.

Let's modify the list to see how the output changes. Change the first element of my_list to a float:

## Create a mixed-type list
my_list = [1.0, "hello", 3.14, True]

## Check if the list contains any integers
has_integer = any(isinstance(x, int) for x in my_list)

## Print the result
print("List contains an integer:", has_integer)

## Check if the list contains any strings
has_string = any(isinstance(x, str) for x in my_list)

## Print the result
print("List contains a string:", has_string)

## Check if the list contains any floats
has_float = any(isinstance(x, float) for x in my_list)

## Print the result
print("List contains a float:", has_float)

## Check if the list contains any booleans
has_bool = any(isinstance(x, bool) for x in my_list)

## Print the result
print("List contains a boolean:", has_bool)

Save the file and run it again:

python ~/project/any_isinstance.py

The output should now be:

List contains an integer: False
List contains a string: True
List contains a float: True
List contains a boolean: True

Now, the list does not contain any integers, so has_integer is False.

This technique is useful for validating the contents of a list or for performing different actions based on the types of elements present in the list.

Find Numeric Elements

In this step, you will learn how to find and extract numeric elements (integers and floats) from a mixed-type list. This involves iterating through the list and using the isinstance() function to identify numeric elements.

Let's create a Python script to demonstrate this. In the VS Code editor, create a new file named find_numeric.py in the ~/project directory.

## Create a mixed-type list
my_list = [1, "hello", 3.14, True, 5, "world", 2.71]

## Create an empty list to store numeric elements
numeric_elements = []

## Iterate through the list
for element in my_list:
    ## Check if the element is an integer or a float
    if isinstance(element, (int, float)):
        ## Add the element to the numeric_elements list
        numeric_elements.append(element)

## Print the list of numeric elements
print("Numeric elements:", numeric_elements)

Save the file. Now, execute the script using the python command in the terminal:

python ~/project/find_numeric.py

You should see the following output:

Numeric elements: [1, 3.14, 5, 2.71]

In this example, we iterated through the my_list and used isinstance(element, (int, float)) to check if each element is either an integer or a float. If it is, we append it to the numeric_elements list.

Let's modify the script to also print the sum of the numeric elements:

## Create a mixed-type list
my_list = [1, "hello", 3.14, True, 5, "world", 2.71]

## Create an empty list to store numeric elements
numeric_elements = []

## Iterate through the list
for element in my_list:
    ## Check if the element is an integer or a float
    if isinstance(element, (int, float)):
        ## Add the element to the numeric_elements list
        numeric_elements.append(element)

## Print the list of numeric elements
print("Numeric elements:", numeric_elements)

## Calculate the sum of the numeric elements
numeric_sum = sum(numeric_elements)

## Print the sum
print("Sum of numeric elements:", numeric_sum)

Save the file and run it again:

python ~/project/find_numeric.py

The output should now be:

Numeric elements: [1, 3.14, 5, 2.71]
Sum of numeric elements: 11.85

This demonstrates how to extract specific types of elements from a mixed-type list and perform operations on them. This technique is useful for data cleaning and preprocessing tasks.

Summary

In this lab, you explored mixed-type lists in Python, which can contain elements of different data types like integers, strings, floats, and booleans. You learned how to create such lists, access their elements using indexing, and modify elements within the list.

The lab demonstrated how to print the entire list and individual elements, showcasing the ability to handle diverse data types within a single list structure. You also practiced changing the value of an element at a specific index, further illustrating the flexibility of mixed-type lists in Python.