Jun 07, 2012 · However, the result I get seems to force the uniqueness on the set of join columns and, as a consequence, some rows are missing. Here is some example code that shows the output from a join operation over 3 dataframes in one step and a merge operation (in 2 steps) over the same data. Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
It is a widely used data structure of pandas and works with a two-dimensional array with labeled axes (rows and columns). DataFrame is defined as a standard way to store data and has two different indexes, i.e., row index and column index.