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Apply function to multiple columns in Pandas

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by vsasikalabe dot icon Updated: Jan 25, 2023

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In this kit, we're going to see how to Apply function to multiple columns in Pandas with simple steps.Using pandas. DataFrame. apply() method you can execute a function to a single column, all and list of multiple columns (two or more).The mask() method replaces the values of the rows where the condition evaluates to True. The mask() method is the opposite of the The where() method.Here the condition is x.mask(x%2==0,0).

Please check the code below,

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

Code

In this solution we used pandas and numpy library of python.

How to apply a function to multiple columns in Pandas

Lines of Code : 23dotLicense : Strong Copyleft (CC BY-SA 4.0)

df = pd.DataFrame(np.arange(30).reshape(10,-1),columns=['A','B','C'])

def f(x):
    #Clean even numbers from columns.
    return x.mask(x%2==0,0)

df[['B','C']] = df[['B','C']].apply(f)
print(df)

    A   B   C
0   0   1   0
1   3   0   5
2   6   7   0
3   9   0  11
4  12  13   0
5  15   0  17
6  18  19   0
7  21   0  23
8  24  25   0
9  27   0  29

​

Instructions

Follow the steps carefully to get the output easily.

  1. Download and Install the PyCharm Community Edition on your desktop.
  2. Install pandas on your IDE from python interpreter in setting options.
  3. Create new python file on your IDE.
  4. Copy the snippet using the 'copy' button and paste (line no 1 to 8) it in your python file.
  5. import the pandas and numpy library.
  6. Run the current 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 ' Apply function to multiple columns in 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. PyCharm Community Edition 2022.3.1
  2. The solution is created in Python 3.11.1 Version
  3. pandas 1.5.2 Version
  4. numpy 1.24.1 version


Using this solution, we can apply function to multiple columns in Pandas.This process also facilities an easy to use, hassle free method to create a hands-on working version of code in python which would help us to apply function to multiple columns in Pandas.

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.

                      Support
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                            License
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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.
                                Support
                                  Quality
                                    Security
                                      License
                                        Reuse

                                          If you do not have pandas and numpy library that is required to run this code, you can install it by clicking on the above link.

                                          You can search for any dependent library on kandi like pandas and numpy.

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