For the Python programming language, Pandas is an efficient and popular data analysis tool, especially its Dataframe, used to manipulate and display data.
For the Python programming language, Pandas is an efficient and popular data analysis tool, especially its Dataframe, used to manipulate and display data. For the .NET programming languages, we can use Deedle or Microsoft.Data.Analysis package available in NuGet which also provides a DataFrame class used to manipulate, transform, and display data.
This example focuses on Microsoft.Data.Analysis package by demonstrating some basic features of the DataFrame class in Jupyter Notebook.
To run examples in this article, please refer to this Using .NET Core in Jupyter Notebook article for setting up Jupyter Notebook to support the .NET programming languages.
Run the below command to install Microsoft.Data.Analysis package version 0.4.0.
This article uses classes from the following four packages. Therefore, it uses the using statement to refer to those packages.
By default, a DataFrame is rendered as an HTML table with one row and two columns (Columns and Rows).
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