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How to Encode a Range of Values using Pandas

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by Abdul Rawoof A R dot icon Updated: Jan 31, 2023

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Encoding a range of values refers to converting a continuous or numerical variable into a categorical variable by dividing it into discrete "bins" or intervals. Encoding values can be useful in data analysis and modeling tasks. It can help identify patterns and trends in the data, clean and pre-process the data, create new features for machine learning models, and create visualizations of the data. 


In various data analysis and modeling jobs, the Pandas function can be helpful for encoding a range of values. Here are a few examples: 

  • Data exploration: Patterns and trends can be found by binning numerical data. 
  • Data Cleaning: Data cleaning and pre-processing can both be done via binning. 
  • Feature Engineering: Another application of binning is the development of fresh features for usage in machine learning models. 
  • Data Visualization: Histograms and other sorts of plots can be made using binning to visualize data. 


Here is how you can encode a range of values using Pandas: 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using Pandas library.

How to encode a range of values using pandas

PythondotLines of Code : 18dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
df = pd.DataFrame({'Age':[0,1,14,15,30,31,50,51,79,80]})

bins = [0,14,30,50,80]
labels=[0,1,2,3]
df['bins'] = pd.cut(df['Age'], bins=bins, labels=labels, include_lowest=True)
print (df)
   Age bins
0    0    0
1    1    0
2   14    0
3   15    1
4   30    1
5   31    2
6   50    2
7   51    3
8   79    3
9   80    3

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Add required dependencies and import them in Python file.
  4. 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 'How to encode a range of values using pandas' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.
  3. Pandas version-v1.5.2.


Using this solution, we are able to encode a range of a value using pandas 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 encode a range of a value using pandas.

Dependent Library

pandasby pandas-dev

Python doticonstar image 38689 doticonVersion:v2.0.2doticon
License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Support
    Quality
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            pandasby pandas-dev

            Python doticon star image 38689 doticonVersion:v2.0.2doticon License: Permissive (BSD-3-Clause)

            Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
            Support
              Quality
                Security
                  License
                    Reuse

                      You can also search for any dependent libraries on kandi like 'pandas'.

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