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MinMaxScaler with range from multiple columns in dataframe

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by shivanisanju03 dot icon Updated: Jan 31, 2023

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In this kit we are going to see how to use MinMaxScaler with range from multiple columns in dataframe. Minmaxscaler is the Python object from the Scikit-learn library that is used for normalising our data. Normalisation is a feature scaling technique that puts our variable values inside a defined range (like 0-1) so that they all have the same range.MinMaxScaler scales all the data features in the range [0, 1] or else in the range [-1, 1] if there are negative values in the dataset. This scaling compresses all the inliers in the narrow range [0, 0.005].


Please check the below code to know how to use MinMaxScaler with range from columns in dataframe

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

Code

In this solution we're using Pandas, numpy and scikit-learn Libraries

MinMaxScaler with range from multiple columns in dataframe

PythondotLines of Code : 22dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler

#kudo's to Nick, I used his df to illustrate my example.
df = pd.DataFrame({
  'Open': [1, 1.1, 0.9, 0.9],
  'High': [1.2, 1.2, 1.1, 1.3],
  'Low': [1, 1.0, 0.8, 0.7],
  'Close': [1.1, 1.2, 0.8, 1.2] 
})

scaler = MinMaxScaler()
df_np = scaler.fit_transform(df.to_numpy().reshape(-1,1))
df = pd.DataFrame(df_np.reshape(4,-1), columns=df.columns)

#   Open    High    Low Close
# 0 0.500000    0.833333    0.500000    0.666667
# 1 0.666667    0.833333    0.500000    0.833333
# 2 0.333333    0.666667    0.166667    0.166667
# 3 0.333333    1.000000    0.000000    0.833333

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas numpy and scikit-learn on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Add print statement at end of the code(refer preview of the output).
  4. Run the file to generate the output.


I hope you found this useful. I have added the link to dependent library, version information in the following sections.


I found this code snippet by searching for 'MinMaxScaler with range from multiple columns in dataframe' 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 Jupyter notebook 6.5.2.
  2. The solution is tested on Python 3.11.1.
  3. Pandas version-v1.5.3.


Using this solution, we are able to understand how to use MinMaxScaler with range from multiple column in dataframe 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 how to use MinMaxScaler with range from multiple columns in dataframe

Dependent Libraries

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

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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

                      numpyby numpy

                      Python doticonstar image 23755 doticonVersion:v1.25.0rc1doticon
                      License: Permissive (BSD-3-Clause)

                      The fundamental package for scientific computing with Python.

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                                numpyby numpy

                                Python doticon star image 23755 doticonVersion:v1.25.0rc1doticon License: Permissive (BSD-3-Clause)

                                The fundamental package for scientific computing with Python.
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                                          scikit-learnby scikit-learn

                                          Python doticonstar image 54584 doticonVersion:1.2.2doticon
                                          License: Permissive (BSD-3-Clause)

                                          scikit-learn: machine learning in Python

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                                                    scikit-learnby scikit-learn

                                                    Python doticon star image 54584 doticonVersion:1.2.2doticon License: Permissive (BSD-3-Clause)

                                                    scikit-learn: machine learning in Python
                                                    Support
                                                      Quality
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                                                              You can also search for any dependent libraries on kandi like 'pandas' ,'numpy' and 'scikit-learn'

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