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Selecting a Row in Pandas DataFrame Based on Specific Criteria

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by vigneshchennai74 dot icon Updated: Feb 27, 2023

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When working with data, filtering and extracting specific rows based on certain criteria is often necessary. Pandas provide various tools for selecting rows in a DataFrame, including the ability to filter based on specific values in a column, a range of values, or conditions based on multiple columns. 


This capability is incredibly powerful and widely used in various fields, including finance, healthcare, and marketing, where analysts and researchers need to extract and analyze specific subsets of data for various purposes. Selecting and manipulating data in this way enables data scientists to gain insights into trends and patterns that may be hidden in the larger dataset. For example, suppose you have a DataFrame containing information about customers. In that case, select only the rows where the customer is from a specific state or has purchased over a certain amount. You can use Pandas' selection methods to create a new DataFrame containing only the rows that meet your criteria. 


This code demonstrates how to dynamically filter a Pandas DataFrame based on specific city and state column criteria, with the option to include or exclude all cities. This functionality can be useful in various data analysis scenarios, such as when you want to focus on specific regions or cities within a larger dataset. 


Selecting a row in Pandas DataFrame based on specific criteria is an essential tool for data analysis and helps analysts and researchers to extract meaningful insights from their data. 


Here is an example of how to Select a Row in Pandas DataFrame Based on Specific Criteria: 

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

Code

In this solution we have used Pandas Library

Selection of rows in pandas Dataframe

PythondotLines of Code : 47dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
df = pd.DataFrame({'city':list('abcdef'),
                   'pincode':[4,5,4,5,5,4],
                   'state':list('aaabbb')})

print (df)
  city  pincode state
0    a        4     a
1    b        5     a
2    c        4     a
3    d        5     b
4    e        5     b
5    f        4     b


requiredState = 'a'
requiredCity = ['ALL']

m1 = ('ALL' in requiredCity) | (df['city'].isin(requiredCity))
m2 = (df['state']==requiredState)
newDf = df[m1 & m2]
print (newDf)
  city  pincode state
0    a        4     a
1    b        5     a
2    c        4     a

requiredState = 'a'
requiredCity = ['a','c']

m1 = ('ALL' in requiredCity) | (df['city'].isin(requiredCity))
m2 = (df['state']==requiredState)
newDf = df[m1 & m2]
print (newDf)
  city  pincode state
0    a        4     a
2    c        4     a

requiredState = 'a'
requiredCity = ['a']

m1 = ('ALL' in requiredCity) | (df['city'].isin(requiredCity))
m2 = (df['state']==requiredState)
newDf = df[m1 & m2]
print (newDf)
  city  pincode state
0    a        4     a
  1. Copy this code using "Copy" button above and paste it in your Python ide
  2. Import Pandas library of python.
  3. Run the code to get a Selection of Row


I hope you have found this useful. I have added the dependent library and version information in the following section.


I found this code snippet by searching "Selection of rows in pandas Dataframe" in kandi. you can try any use case.

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
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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

                      If you do not have Pandas that is required to run this code you can install it by clicking on th above link and copying the pip install command from the pandas page in Kandi. You can search for any dependent library in Kandi like Pandas.

                      Environment Tested


                      In this solution we have used the following versions. Be mindful to change when working with other versions.


                      • This solution is created and tested using Vscode version 1.75.1
                      • This solution is created using Python version 3.7.15
                      • This solution is Tested using Pandas 1.5.2


                      Using this solution we can able to select a row in a dataframe using Pandas library in python with simple Steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us select a Row in Dataframe in Python.

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