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

Project description


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


pip install xlparser
# or
pip3 install xlparser

If you want to filter fields, it will be convenient with xcut.

pip install xcut 
# or
pip3 install xcut 


$ xlparser -h
xlparser [options] INFILE [OUTFILE]\n
        -h       For help.\n

CLI Usage

From xlsx to csv.

$ xlparser source.xlsx new.csv 

From csv to xlsx.

$ xlparser source.csv new.xlsx 

From csv to json.

$ xlparser source.csv new.json

From xlsx to csv(stdout).

$ xlparser source.xlsx | head 

$ xlparser src.xlsx | tee test.csv
name, score

Use xcut to filter fields.

$ xlparser src.xlsx | xcut --from-csv -f name 

$ xlparser src.xlsx | xcut --from-csv -f score,name

Convert xlsx to csv

$ xlparser src.xlsx test.csv; 
$ cat test.csv
name, age

Convert csv to json

$ xlparser test.csv test.json
[["name", "age"], ["李雷", "15"], ["小花", "16"]]

Module Usage

Parse any type of file

parse any type of file to rows:

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

The parse function supports the following file formats: .csv, .xls, .xlsx .

Save to any type of file

Save rows to csv

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

Save rows to xlsx

>>> saveXlsx(rows, 'test.xlsx')

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')


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

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