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Provide functions to read, parse and convert MS Excel spreadsheets into various data structures.

Project description

Author: Rafael Oliveira <rafaelbco@gmail.com>

Overview

Provide functions to read, parse and convert MS Excel spreadsheets into various data structures.

Usage

To read a MS Excel file into memory call xls_to_excelerator_dict(filename). This will return a dict in the excelerator_dict format. Functions are provided to convert between this format and the following formats.

excelerator_dict

A list of tuples (sheet_name, dict). dict keys are (row_num, col_num) pairs:

[
    (
        sheet_name,
        {
            (row_num, col_num): value,
        }
    ),
]

rows_and_columns

Nested dicts which keys sheet name, row number and column number:

{
    sheet_name: {
        row_num: {
            col_num: value,
        }
    },
}

matrix

A dict mapping from sheet names to matrices, i.e, a lists of lists:

{
    sheet_name: [
        [v01, v02, v03, ...],
        [v11, v12, v13, ...],
    ]
}

structure

Perhaps the more user-friendly format: A dict mapping from sheet names to lists. These lists contains the rows. Each row is represented by a dict, mapping from column names to values. Column names are the values in the first row of the sheet:

{
    sheet_name: [
        {
            col_name: value,
        },
    ]
}

This format is only useful if the first row of each sheet is actually a header row

Project details


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