In this chapter, we examined several techniques of combining and reshaping data in one or more
DataFrame objects. We started the chapter by examining how to combine data from multiple pandas objects. We saw how to concatenate multiple
DataFrame objects both along the row and column axes. We then examined how pandas can be used to perform database-like joins and merges of data based on values in multiple
We then examined how to reshape data in
DataFrame using pivots, stacking, and melting. We saw how each of these processes provides several variations on how to move data around by changing the shape of the indexes by moving data in and out of indexes.
We then finished the chapter with a brief but important example of how ...