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How to Fetch Value of Particular Column with Where Condition in Pandas

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

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In Python, the "where" condition is used in conjunction with Boolean indexing to filter the elements of an array, list, or DataFrame based on a specific condition. The condition is specified as a Boolean expression, and the elements that satisfy the condition are kept while the elements that do not are removed. 


You can fetch the value of a particular column with a WHERE condition using a “SQL SELECT” statement. 

  • SQL SELECT: Using the SQL SELECT command, you may query a database and get specified data from one or more of its tables. 

In the WHERE clause, you may also include several criteria by using logical operators like "AND," "OR," etc.  

  • AND: In a WHERE clause, several criteria can be combined using the SQL AND statement. When all criteria are true, rows from a table are returned using the AND statement. 
  • OR: In a WHERE clause, multiple conditions can be combined using the SQL OR statement. When at least one of the requirements is true, the OR statement is used to get rows from a table. 


For better knowledge of fetching the value of a particular column with where condition, you may have a look at 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.

How to fetch value of particular column with where condition in pandas?

PythondotLines of Code : 11dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import pandas as pd
import numpy as np
df = pd.DataFrame({'A':[12.0, 4.0, 5.0, np.nan, 1.0], 'B':[7.0, 2.0, 54.0, 3.0, np.nan], 'C':[20, 16, 11, 3, 8], 'D':[14.0, 3.0, np.nan, 2.0, 6.0]})
print(df.loc[df.A==12.0]['D'])
print(df.loc[df.A==12.0]['D'][0])

0    14.0
Name: D, dtype: float64

14.0

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 fetch value of particular column with where condition 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. 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-v1.24.0.


Using this solution, we are able to fetch value of particular column with where condition in 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 fetch value of particular column with where condition 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

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'.

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