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Parse excel(xlsx/xls/csv) to other format(dict, csv, json, ...).

Project description

xlparser

Parse excel(xlsx/xls/csv) to other format(dict, csv, json, ...).

Warning: some old versiones of xls are not supported.

Install

pip install xlparser
pip3 install xlparser

Usage

$ xlparser

CLI Usage

Convert xlsx to csv

$ xlparser src.xlsx | tee test.csv
foo, bar
看,我,变

Convert csv to json

$ xlparser test.csv -json | tee test.json
[["foo", "bar"], ["看", "我", "变"]]

Module Usage

Parse any type of file

The parse function supports the following file format:

def parse(src):
    if src.endswith('.xls'):
        return parseXls(src)
    if src.endswith('.xlsx'):
        return parseXlsx(src)
    if src.endswith('.csv'):
        return parseCsv(src)

parse any type of file to rows:

>>> from xlparser import parse, saveCsv
>>> rows = parse('some.xlsx')
>>> list(rows)
[['foo', 'bar'], ['看', '我', '变']]

Save rows to csv

>>> saveCsv(rows, 'test.csv')

Csv operation

>>> from xlparser import *

>>> rows = [('foo','bar'), ('看','我','变')]
>>> saveCsv(rows, 'test.csv')

>>> list(parseCsv('test.csv'))
[['foo', 'bar'], ['看', '我', '变']]

Zip operation

>>> from xlparser import loadZip
>>> zf = loadZip('test.xlsx')
>>> print(zf.filelist)
......
>>> zf.extract('xl/media/image1.png', '/tmp')
>>> os.rename('/tmp/'+'xl/media/image1.png', './image1.png')

Required

  1. python>=3.5
  2. xlrd: required by xls
  3. openpyxl>=2.5.4: required by xlsx

Project details


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