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Empower your Excel with Python Vlookups

V-lookup is essentially used for vertically arranged data. V-lookup is an operation used to merge 2 different data tables based on some condition where there must be at least 1 common attribute(column) between the two tables. After performing this operation we get a table consisting of all the data from both the tables for which the data is matched.

We can use merge() function to perform V-lookup in pandas. The merge function does the same job as the Join in SQL We can perform the merge operation with respect to table 1 or table 2.There can be different ways of merging the 2 tables.

Left join: Left join operation provides all the rows from 1st dataframe and matching rows from the 2nd dataframe. If the rows are not matched in the 2nd dataframe then they will be replaced by NaN.

Financial Analysis using Pandas in Python.
Summarizing
1. We may have to lookup from various tables across various workbooks.
2. We may want to handle enormous amount of data from each of files.
3. Using formulas with vast amount of data would most often crash excel workbook.
4.To keep adaptive with change in column references.
5. To analyze adhoc queries quickly and streamline routine clean up of data.