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.
- Install pandas on your IDE(Any of your favorite IDE).
- Copy the snippet using the 'copy' and paste it in your IDE.
- Add required dependencies and import them in Python file.
- 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.
- The solution is created in PyCharm 2021.3.
- The solution is tested on Python 3.9.7.
- 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
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)
You can also search for any dependent libraries on kandi like 'pandas'.
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