# How To Extract Numbers From A String In Python?

Summary: To extract numbers from a given string in Python you can use one of the following methods:

• Use the `regex `module.
• Use `split() `and `append()` functions on a list.
• Use a List Comprehension with `isdigit()` and `split()` functions.
• Use the `num_from_string` module.

Extracting digits or numbers from a given string might come up in your coding journey quite often. Whether you are automating a script in python and you want to extract certain numerical figures from a CSV file or you are a data scientist and you need to separate complex digits and figures from given patterns or you are a python enthusiast who wants to learn more about strings and numerical data types then you will certainly find this article helpful. Having said that, let us dive into our mission-critical question:

Problem: Given a string; how to extract numbers from the string in Python?

Example: Consider that you have been given a string and you want to extract all the numbers from the string as given in the following example:

Given is the following string:

`Extract 100, 1000 and 10000 from this string`

`[100, 1000, 10000]`

Let us discuss the methods that we can use to extract the numbers from the given string:

## Method 1: Using Regex Module

The most efficient approach to solve our problem is to leverage the power of the `regex` module. You can easily use Regular Expressions (`RegEx`) to check or verify if a given string contains a specified pattern (be it a digit or a special character or any other pattern).

Thus to solve our problem we must import the regex module which is already included in Pythons standard library and then with the help of the `findall()` function we can extract the numbers from the given string.

`findall()` is an easy-to-use regex function that returns a list containing all matches. To learn more about `findall()` check out our blog tutorial here.

Let us have a look at the following code to understand how we can use the `regex` module to solve our problem:

```import re

sentence = 'Extract 100 , 100.45 and 10000 from this string'
s = [float(s) for s in re.findall(r'-?\d+\.?\d*', sentence)]
print(s)```

Output

`[100.0, 100.45, 10000.0]`

## Method 2: Split and Append The Numbers To A List using split() and append() Functions

Another workaround for our problem is to split the given string using the `split()` function and then extract the numbers using the built-in `float()` method then append the extracted numbers to the list.

Note:

• `split()` is a built-in python method which is used to split a string into a list.
• `append()` is a built-in method in python that adds an item to the end of a list.

Now that we have the necessary tools to solve our problem based on the above concept, let us dive into the code to see how it works:

```sentence = 'Extract 100 , 100.45 and 10000 from this string'

s = []
for t in sentence.split():
try:
s.append(float(t))
except ValueError:
pass
print(s)```

Output

`[100.0, 100.45, 10000.0]`

## Method 3: Using isdigit() Function In A List Comprehension

Another approach to solving our problem is to use the `isdigit()` inbuilt function to extract the digits from the string and then store them in a list using a list comprehension. The `isdigit()` function is used to check if a given string contains digits. Thus if it finds a character which is a digit then it returns True, otherwise, it returns False.

Let us have a look at the code given below to see how the above concept works:

```sentence = 'Extract 100 , 100.45 and 10000 from this string'
s = [int(s) for s in str.split(sentence) if s.isdigit()]
print(s)```

Output

`[100, 10000]`

☢ Alert! This technique is best suited to extract only positive integers. It won’t work for negative integers, floats, or hexadecimal numbers.

## Method 4: Using Numbers from String Library

This is a quick hack if you want to avoid spending time behind typing explicit code to extract numbers from a string. You can import a library known as `nums_from_string` and then use it to extract numbers from a given string. It contains several regex rules with comprehensive coverage and can be a very useful tool for NLP researchers.

Since the Numbers from String library is not a part of the standard Python library, you have to install it before being able to use it. Use the following command to install this useful library:

`pip install nums_from_string`

The following program demonstrates the usage of `nums_from_string` :

```import nums_from_string

sentence = 'Extract 100 , 100.45 and 10000 from this string'
print(nums_from_string.get_nums(sentence))```

Output

`[100.0, 100.45, 10000.0]`

## Conclusion

Thus from the above discussions, we found that there are numerous ways of extracting a number from a given string in python. My personal favorite though would certainly be the regex module. You might argue that using other methods like the `isdigit()` and `split()` functions provide a simpler and more readable code and are faster. However, as mentioned earlier it does not return numbers that are negative (in reference to method 2) and also do not work for floats that have no space between them and other characters like ‘25.50k’ (in reference to method 2). Furthermore, speed is kind of an irrelevant metric when it comes to log parsing. Now you see why regex is my personal favorite in this list of solutions.

In case you are not very supportive of the re library, especially because you find it difficult to get a strong grip on this concept (just like me in the beginning), here’s THE TUTORIAL for you to become a regex master. 😉

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