This article provides 21 tips and tricks to help users manipulate data in Pandas. The tips include printing DataFrame in markdown-friendly format, grouping rows into a list, using DataFrame.explode(), utilizing DataFrame.copy() to make a copy of a DataFrame, and more. The article also covers topics such as correlation, cross-tabulation, and data type conversion. Additionally, the article mentions the importance of using .nlargest() and .nsmallest() to sort columns in a DataFrame and using Pandas DataFrame.rank() method to create a Rank column.

source update: 21 Pandas Tips Every Data Scientist Should Know – Towards AI


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