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Create a Function for a Dataframe with Pandas

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by Abdul Rawoof A R dot icon Updated: Feb 28, 2023

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In Python, we define a function with the def keyword and then write the function identifier(name) followed by parentheses and a colon to create a function. Then we have to identify a tab or four spaces and specify what the function will do for us. 


To create a dataframe, the DataFrame() function is used in Pandas. This function is applied to each element and returns the value used to create the result DataFrame object. To apply a function to a DataFrame in Pandas, we can use the applymap() function, which does not have an additional argument. To add a function to a DataFrame, the Pandas dataframe.append() function to append rows of other dataframe in pandas to the end of the given dataframe. It returns a new dataframe object. Then the columns not in the original data frames are added as new columns, and the new cells are populated with NaN values. The def keyword is used to declare the function, and it follows this up with the function name and then adds parameters to the function. At the end of our line with a colon, add statements that the functions should execute. They should be within the parentheses of the function. 


Here is an example of how to create a function for a DataFrame with Pandas: 

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

Code

In this solution we're using Pandas library.

How to create a function for a dataframe with pandas

PythondotLines of Code : 16dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
def total_purchases(df):
    y = input('Which year do you want to consult? ')
    m = int(input('Which month do you want to consult? '))
    return df[(df['year'].eq(y)) & (df['month'].eq(m))]['value'].sum()

df_p = pd.DataFrame({'year' : ['2011','2011','2012','2013'],
                  'month' : [1,2,1,2],
                  'value' : [200,500,700,900]})

total_purchases(df_p)

Which year do you want to consult? 2011
Which month do you want to consult? 2

500

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 create a function for a dataframe with 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.


Using this solution, we are able to create a function for a dataframe with 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 create a function for a dataframe with pandas.

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
    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

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

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