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Consolidating multiple excel files into one

However the principles can be applied to much larger data sets yet you can keep the code base very manageable.Additionally, you have the full power of python at your fingertips so you can do much more than just simply manipulate the data.

By default, Excel uses the SUM function to total all the cells in the worksheets that share the same cell references (when you consolidate by position) or that use the same labels (when you consolidate by category).

You can, however, have Excel use any of other following statistical functions when doing a consolidation: AVERAGE, COUNT, COUNTA, MAX, MIN, PRODUCT, STDEV, STDEVP, VAR, or VARP.

This result makes sense given the fact that we defaulted to bronze for many of our customers. Obviously this data is fake but hopefully this shows how you can use these tools to quickly analyze your own data.

This example only covered the aggregation of 4 simple Excel files containing random data.

What I plan to do is filter out the unique accounts and see how many gold, silver and bronze customers there are.

I’m purposely stringing a lot of commands together which is not necessarily best practice but does show how powerful pandas can be.

To begin consolidating the sheets in the same workbook, you select a new worksheet to hold the consolidated data.

(If need be, insert a new sheet in the workbook by clicking the Insert Worksheet button.) To begin consolidating sheets in different workbooks, open a new workbook.

A common task for python and pandas is to automate the process of aggregating data from multiple files and spreadsheets.

This article will walk through the basic flow required to parse multiple Excel files, combine the data, clean it up and analyze it.

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