Скачать или смотреть Exploring merge(), join(), and concat() Methods

Pandas offers several methods for combining DataFrames: merge(), join(), and concat(). Each of these has distinct functionalities and use cases. The merge() function allows for flexible joining of two DataFrames on the basis of one or more keys. It offers extensive options for joining, including inner, outer, left, and right joins. The join() method is typically used for joining on indices, providing a simpler syntax for this specific case. On the other hand, concat() is best suited for appending or stacking DataFrames along a particular axis, either rows or columns. Selecting the right method depends on the specific requirements of your analysis, such as whether you need to join on indices or keys, or if you want to append DataFrames in sequence. Throughout this block, we'll examine the syntax, parameters, and practical examples for each method to help you choose the optimal approach for your data merging tasks.