How to Find the Length of List in Python | Ways to Find Length of List

Python is in high demand among software developers and data scientists around the world. This programming language has various data types and six of them in particular for storing sequences. These include List, Number, String, Dictionary, and Tuple. In this tutorial, we will understand what are Python lists and also look at how to find the length of a list in Python

Python Lists Explained

Lists are considered the most reliable ways of saving items in a sequence in Python. They let you store a single variable with multiple items in it. Here is a simple example:

samplelist = [ “umbrella”, “raincoat”, “boots” ]

print(samplelist)

As you can see, you just have to use square brackets to create a list in Python. Moreover, the items are ordered in a definite series. You can include duplicate items in a Python list and also update items as per your needs. Each item of the list has an index, starting from 0. For more clarity, we have listed the starting index numbers below:

• First item: 0
• Second item: 1
• Third item: 2

In the context of the example mentioned earlier, the index number for the elements are:

• umbrella: 0
• raincoat: 1
• boots: 2

If you wanted to make any changes to the sample list, like add or remove specific elements, you would refer to these index numbers.

Lists differ from arrays as they offer a more compact and efficient way of storing a large number of elements. While arrays involve numerical operations, you do not have to perform a direct mathematical activity with lists.

Now, let us discuss how to determine the length or size of a list in Python

Length of a list in Python

With length or size, we mean the number of items in the Python list. You can measure if with a simple len() function. Look at the following demonstration:

samplelist = [ “pen”, pencil”, “brush”, “notebook” ]

print (len(samplelist))

# Output: 4

This is the most conventional technique used by Python programmers to find a list’s length. However, there exist other methods as well. Let’s go into more detail.

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• The Naive Method

This method involves running a loop and increasing the counter. This is done until the list’s last element. In the absence of other efficient strategies, this technique offers a convenient option to know the count of a Python list. Here’s how it works:

MyList = [ “Bye”, “Friends”, 4, 5, 6]

print (“This list is : ” + str(MyList))

counter = 0

for i in MyList:

counter = counter + 1

print (“Length of list with naive is: ” + are (counter))

#Output:

This list is: [“Bye”, “Friends”, 4, 5, 6]

Length of list with naive is: 5

• The length_hint() approach

This method is relatively lesser known than the other two techniques. It is defined in the operator class in Python and tells us about the element count in the following manner.

First, you need to import the len() and length_hint functions from the operator. Then, implement the code given below.

#Sample code for length of list using length_hint

#Initialize list

TestList = [“Winner”, 1, 2, 3, 4, 5]

#Print list

print (“python list is: ” + str(test_list))

#Find length of python list

list_len = length_hint(TestList)

#Print length of list

print (“Length of list with length_hint method is: ” + str(list_len)

#Output:

python list is: [“Winner”, 1, 2, 3, 4, 5]

Length of list with length_hint methods is: 6

With this, we have given you three different ways in which you can count the number of elements of a Python list, namely len() function, naive method, and length_hint technique. Here is a comparison of the three alternatives based on the time taken to deliver the list count in Python

Once again, you need to import length_hint and time from the operator. After that, you can use this sample code to analyze the performance of each method:

# Initialize list

final_list = [1, 3, 5, 7, 9]

# Print test_list

print (“My python list is : ” + str(final_list))

# Find length of list using naive

# Initialize counter

begin_time_naive = time.time()

counter = 0

for i in final_list:

# increment the counter

counter = counter + 1

end_time_naive = str(time.time() – begin_time_naive)

# Find length of list with len()

begin_time_len = time.time()

list_len = len(final_list)

end_time_len = str(time.time() – start_time_len)

# Find length of list with length_hint()

begin_time_hint = time.time()

list_len_hint = length_hint(final_list)

end_time_hint = str(time.time() – begin_time_hint)

# Print time

print (“Time using naive is : ” + end_time_naive)

print (“Time using len() is : ” + end_time_len)

print (“Time using length_hint() is : ” + end_time_hint)

The output will show that the len() method is the fastest one out of the three ways of finding the size of list in Python.

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Python is an integral part of the data science curriculum at the postgraduate level due to its high industry demand. Whether you are a fresher, software or IT professional, or a data professional, you should be well-versed with this programming language.

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Conclusion

In this tutorial, we learned about the list data type with a special focus on how to find its size. This information on measuring the length of the list in Python is one of the most basic operations you would do as a beginner. So, use the above steps to level up our programming skills and stay curious for more!

Explain the length_hint() method of Python?

The length_hint() method is not a popular method as the len() method is quite efficient to be replaced with any other method. However, this method is far better than the naive approach since it shows a better time complexity. The length_hint() method is a function of the operator module that must be imported in order to use this. This function also tells you what elements are in the list.

When are lists preferred over other data structures?

The list data structure is preferred for storing data in the following scenarios:
1. Lists are considered when the data to be inserted is heterogeneous i.e., the elements are of different types.
2. When the data is smaller, lists are preferred to store it since it will be less optimized for the larger data set.
3. A list is considered more suitable for operations like insertion and deletion since a list is resizeable and does not need the size to be specified during initialization.
4. You can use a list to store the data when there is no need to operate mathematical operations on the elements.

What are the characteristics of the list data structure in Python?

Lists are one of the most common built-in data structures supported in Python. They are largely used in databases. Lists that have the following characteristics:
1. The data stored in lists can be modified or mutated after initializing it.
2. Lists store the data in an ordered format and the elements stored can be easily accessed using their indices.
3. Lists can also store data belonging to different data types, eg. {1, “hello”, TRUE}.
4. The list provides built-in methods to perform various operations such as slicing and splitting.
5. When the data includes elements of string type, then list data structures prove to be quite efficient as they support all string operations such as concatenation operation.