Extracting numbers from a text column in a Pandas DataFrame and creating a new column with those numbers is a common data pre-processing task. This can be accomplished using a combination of pandas and regular expression (regex) functions.
Extracting numbers from a text column and adding them to a new column in a Pandas DataFrame has a variety of possible uses. Several instances include:
- Data cleaning and preprocessing for machine learning: You can develop new features that can be used as input to a model by taking numerical values out of text data.
- Financial analysis: A dataset for financial analysis can be created by extracting numerical values from news stories or financial reports.
- Text analytics: By extracting numerical information from text data, one can learn more about the text's substance, such as the frequency with which particular numbers are referenced or the dataset's average value.
- Data visualization: Extracting numerical values can create charts, graphs, and other visualizations to help understand the data and communicate insights to others.
Here's how to use Pandas to extract numbers from a text and store them in a new column:
Fig : Preview of the output that you will get on running this code from your IDE.
In this solution we're using Pandas library.
Follow the steps carefully to get the output easily.
- Install pandas on your IDE(Any of your favorite IDE).
- Copy the snippet using the 'copy' and paste it in your IDE.
- Add required dependencies and import them in Python file.
- Run the file to generate the output.
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for 'pandas extracting numbers within text to a new column' in kandi. You can try any such use case!
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in PyCharm 2021.3.
- The solution is tested on Python 3.9.7.
- Pandas version-v1.5.2.
Using this solution, we are able to extract numbers within text to a new column with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to extract numbers within text to a new column.
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)