• Reshaping Data (Pivoting and Melting)
  • Applying Functions to Data
  • Creating New Columns
  • String Manipulation
  • Handling Categorical Data

Custom Aggregations: Using apply and map for Complex Data Transformations

Custom aggregations in Pandas, involving apply and map functions, are powerful tools for performing complex data transformations. These functions allow for more nuanced and sophisticated data analysis than what is possible with standard aggregation methods like sum, mean, etc. Here’s how they work and how they can be used for complex data transformations: (more…)

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How to Cast to String in Pandas?

Pandas is a powerful Python library for data analysis. It provides a variety of functions for manipulating and analyzing data, including the ability to cast columns to different data types.

In this article, we will learn how to cast a column in a Pandas DataFrame to a string type. This can be useful for a variety of tasks, such as formatting data for printing or saving, or for performing operations that are only supported on string data types.

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