Скачать или смотреть Setting and Resetting Indexes

Setting and resetting indexes in Pandas allows you to customize the structure of your data frames, tailoring them to your specific needs. By default, Pandas assigns a range index to your data frame, but you can set a column as the index using the set_index() method. This is useful when you want to index your data by a meaningful attribute, such as a date or an identifier. On the other hand, the reset_index() method allows you to revert to the default integer index, which can be useful when you need to flatten your data frame or prepare it for export. Custom indexes can enhance the readability and usability of your datasets, making them more intuitive to work with. Whether you're organizing data by time, categorizing it by region, or identifying it by a unique key, mastering index setting and resetting is a valuable skill for efficient data management.