Introduction to the Pandas Library
Last Updated on July 24, 2023 by Editorial Team
Author(s): Saiteja Kura
Originally published on Towards AI.
Source — Nimble Coding
Before beginning, I would suggest you read my previous article on NumPy here. Although NumPy’s arrays are better than Python’s data structures several limitations hinder its usage.1. NumPy’s high dimensional arrays support only single data type per array which makes it difficult to deal with data having both numbers and strings.In general real-time data is a combination of one or more data types.2. Numpy has hardware-level methods but there are no pre-built methods for analysis patterns used regularly.
The Pandas library is also known as the “Python Data Analysis Library” solves the above problems. Pandas is a python… Read the full blog for free on Medium.
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