The collected data is usually divided into multiple files or databases after storage. How to splice these files as needed or connect them by key is very important. This section will introduce the complex operations of data indexing such as hierarchical index, stack, unstack, seet_index, reset_index, etc. to help reconstruct data, data splicing such as merge, join, concat, combine_first, etc. to help connect data, as well as the use of pivot tables.
Pandas from beginner to proficient - hierarchical index
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