Create a Pandas Table

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by Abdul Rawoof A R dot icon Updated: Feb 20, 2023

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A 2-dimensional data structure like a 2-dimensional array or a table with rows and columns is called a Pandas Table or DataFrame. 


A 2-dimensional labeled data structure-like table is called Pandas DataFrame in Pandas. The size of the dataframe is mutable in pandas. It can be modified and is the most commonly used pandas object. We have multiple ways to create a Pandas DataFrame. To create a dataframe in Pandas DataFrame() function, the syntax for creating a dataframe is - pandas.DataFrame(data, index, columns). 

  • data: It is a dataset from which a data frame is to be created to store the data, and it can be a list, scalar values, dictionary, series, ndarrays, etc. 
  • index: The data frame index starts from zero and ends at the final data value(n-1) by default in Pandas. The index explicitly defines the row label. 
  • columns: This parameter is mainly used to provide a column name in the data frame, and when the column name is not defined by default, it will automatically take a value from 0 to n-1. 


Here is an example of how to create a Pandas Table: 

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.

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 'create a pandas table' 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 pandas table in python 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 pandas table in python.

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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