minexcel 0.2.0

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minexcel

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minexcel is a Python package designed for processing complex Excel tables and extracting structured data blocks from formatted layouts.

Reading Formatted Data Blocks in Excel

Formatted data blocks in Excel are often challenging to parse, especially when merged cells are involved. minexcel abstracts the cells in data block into distinct components and supports simplified markup for configuration.

To define a template, you can create a new .xlsx file and structure your data block as follows:

• [tablemeta]: Table metadata. Each block can have multiple table metadata entries, but each entry must contain a single value.

• [rowmeta]: Row metadata. Represents row-wise extended information, including traditional rownames.

• [colmeta]: Column metadata. Represents column-wise extended information including traditional colnames.

• Leave empty: Core data area. This region should contain no rowname or colname.

• [ignore]: Cells to skip during parsing. Note: The original cell containing the metadata name must be marked as [ignore].

Use minexcel to parse the data:

import minexcel as mxl

tmpl = mxl.parse_template("template.xlsx")
res = mxl.read_block_excel("data.xlsx", tmpl)

This returns structured data matching the template's design: