Extract Excel Data In Parallel

A small script to extract Excel Data in parallel into Dataframes, using xlwings and Python's multiprocessing. Why need Parallelism? Because accessing low-level cells is slow, e.g. a few ms for one cell. Low-level cells allow to leverage many kinds of functionalities supported by VBA.

My article: Extract Excel Data In Parallel

Prerequisites

Anaconda3-2019.10-Windows-x86_64.exe
Python v3.7.4 (64 bit)
Additional package: xlwings, regex (see requirements.txt)
Microsoft Office (Excel)

Getting started

Put Excel files of interest into data folder.
Update the extraction request in requests.txt.
In a Virtual Environment, run as followed:

python.exe main_program -num_core 4 -cell_mode value_aggressive

After extracting ranges in Excel, they are converted into Pandas Dataframe. What to do with those Dataframes is up to you. E.g. export to CSV files.

Notes

Switch -cell_mode: value_aggressive to get cells individually (even merged cells), value_fast to get cells all at once (very fast, lightning fast!), formula to get cells' formula.
Switch -num_core: if 0, get the maximum CPU cores available.
The program can be extended, for example, writing another function to extract Background Color in Conditional Formatting, e.g. rang.api.Cells(1, 1).DisplayFormat.Interior.Color. Expect that going through cells individually is a must because such property is not available natively in xlwings.
xlwings is a wrapper around Microsoft's Library to control Excel instance. It is as powerful as VBA. When wanting something which is not available through xlwings, search for doing it in VBA instead. Then in xlwings, call xlwing_range.api. to access the desired property, like above.

Sample Logging Result

2019-12-03 20:17:35 INFO     Start processing Excel files.
2019-12-03 20:21:50 INFO     Finish processing Excel files.
2019-12-03 20:21:50 INFO     Collected Dataframe: (5001, 2).
2019-12-03 20:21:50 INFO     First row: [Central America and the Caribbean Antigua and Barbuda |Central America and the Caribbean Antigua and Barbuda ]
2019-12-03 20:21:50 INFO     Collected Dataframe: (5001, 2).
2019-12-03 20:21:50 INFO     First row: [Baby Food|Online]
2019-12-03 20:21:50 INFO     Collected Dataframe: (5001, 2).
2019-12-03 20:21:50 INFO     First row: [M|12/20/2013]
2019-12-03 20:21:50 INFO     Collected Dataframe: (5001, 2).
2019-12-03 20:21:50 INFO     First row: [957081544|01/11/2014]
2019-12-03 20:21:50 INFO     Done

Sample File Source