Project on how to optimize the default pandas data types that are inferred when reading a csv-file. The result is a dataframe that takes up much less RAM without the loss of any information in the ...

A DataFrame is a two-dimensional, tabular data structure that can store multiple columns of different data types. You can think of it as a spreadsheet or a database table.

This repository focuses on efficiently handling and manipulating string data within Pandas DataFrames using the Pandas String type in Python. String Operations: A collection of essential string ...

By heterogeneous data, we mean a single DataFrame can comprise different data types’ content such as numerical, categorical etc. The building block of a DataFrame is a Pandas Series object. Built on ...