Back ArrowExplore all kits

Select Pandas Dataframe Column Value based on Different Column Value

share link

by Abdul Rawoof A R dot icon Updated: Feb 10, 2023

technology logo
technology logo

Solution Kit Solution Kit  

In pandas, a DataFrame column refers to a single data series within a DataFrame. Each column has a unique name and contains a specific set of data. The columns of a DataFrame can be accessed using the column name as an attribute of the DataFrame, or by using the column name as a key in a dictionary-like notation. 


You can also perform various operations on a DataFrame column, such as mathematical, logical, string, etc. For example, you can add, subtract, multiply, divide, or apply any mathematical function to the entire column. 


In pandas, you can select specific rows of a DataFrame based on the value of a different column. 

  • You can use the “.loc[]” attribute. 
  • Using the & (and) or | (or) operators, you can also chain multiple conditions together. 
  • You can also select specific columns along with the condition. 
  • You can also use other comparison operators like >, <, >=, <=, != ,etc. 


To know more about selecting Pandas DataFrame column values based on different values, refer to the code below. 

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

Code

In this solution we're using Pandas and NumPy libraries.

Select Pandas Dataframe Column Value Based on Different Column Value

PythondotLines of Code : 10dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
df['check'] = df.filter(like="x").values[np.arange(len(df)), df.iterator - 1]

data = [{'check': None, 'iterator': 2, 'x1': 3, 'x2': 4, 'x3':3},
        {'check': None,  'iterator': 1, 'x1': 1, 'x2': 5, 'x3':3},
        {'check': None,  'iterator': 2,  'x1': 2,  'x2': 2 , 'x3':1}]
df = pd.DataFrame(data)

df['check'] = df.filter(like="x").values[np.arange(len(df)), df.iterator-1]
df

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(import pandas & numpy).
  4. Remove the first line in the code after pasting it in your IDE(refer preview of the output).
  5. Add print statement at end of the code('print(df)' instead of 'df').
  6. 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 'Select Pandas Dataframe Column Value Based on Different Column Value' 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.
  4. NumPy version-v1.24.1.


Using this solution, we are able to select dataframe column value based on different column value 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 select dataframe column value based on different column value.

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

Support
    Quality
      Security
        License
          Reuse

            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
                        Quality
                          Security
                            License
                              Reuse

                                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

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

                                          Support

                                          1. For any support on kandi solution kits, please use the chat
                                          2. For further learning resources, visit the Open Weaver Community learning page.


                                          See similar Kits and Libraries

                                          Open Weaver – Develop Applications Faster with Open Source

                                          kandi

                                          Community and Support

                                          Company

                                          Follow

                                          • © 2023 Open Weaver Inc.