- [xlparser](#xlparser)
- [安装](#安装)
- [使用](#使用)
- [命令行示例](#命令行示例)
- [python 调用示例](#python-调用示例)
- [转任何类型的文件](#转任何类型的文件)
- [保存任何类型的文件](#保存任何类型的文件)
- [Csv 文件处理](#csv-文件处理)
- [Zip 文件处理](#zip-文件处理)
- [Required](#required)
[English](README.en.md)
# xlparser
将 excel(xlsx/xls/csv) 转到其他的格式(csv, xlsx, json).
> Warning: 如果你遇到问题，最好在issue 提交明确的报错信息。
[](https://pypi.org/pypi/xlparser/)
[](https://pypi.org/pypi/xlparser/)
## 安装
pip install xlparser
如果想过滤字段，结合[xcut](https://github.com/ahuigo/xcut) 使用更方便
pip install xcut
## 使用
$ xlparser -h
xlparser [options] INFILE [OUTFILE]\n
options:\n
-h For help.\n
### 命令行示例
将 xlsx 转成 csv
$ xlparser source.xlsx new.csv
将 csv 转成 xlsx
$ xlparser source.csv new.xlsx
将 csv 转成 json
$ xlparser source.csv new.json
将 xlsx 转成 csv(标准输出)
$ xlparser source.xlsx | head
$ xlparser src.xlsx | tee test.csv
name, score
"李雷,韩梅",15
小花,16
xcut 命令结合
$ xlparser src.xlsx | xcut --from-csv -f name
name
"李雷,韩梅"
小花
$ xlparser src.xlsx | xcut --from-csv -f score,name
score,name
15,"李雷,韩梅"
16,小花
### python 调用示例
#### 转任何类型的文件
`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 .
#### 保存任何类型的文件
Save rows to csv
>>> from xlparser import parse, saveCsv
>>> rows = [['foo', 'bar'], ['看', '我', '变']]
>>> saveCsv(rows, 'test.csv')
Save rows to xlsx
>>> saveXlsx(rows, 'test.xlsx')
#### Csv 文件处理
>>> from xlparser import *
>>> rows = [('foo','bar'), ('看','我','变')]
>>> saveCsv(rows, 'test.csv')
>>> list(parseCsv('test.csv'))
[['foo', 'bar'], ['看', '我', '变']]
#### Zip 文件处理
>>> 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
2. openpyxl>=2.5.4: required by xlsx
Raw data
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