Skip to main content

pYthon Utilities.

Project description

安装

$ pip install yu

extractors - 数据提取

数据提取,支持:

  • Field

    • SkipField - 直接跳过

    • PassField - 不做转换

    • StringField - 字符串,支持长度验证

    • IntegerField - 整数,支持最大、最小值验证

    • FloatField - 浮点数

    • DateField - 日期

  • RowExtractor

  • CSVExtractor

示例

csv.extract 的用法:

import csv
from yu.extractors import csv as ce


fields = [
    ce.StringField(min_length=2, max_length=4),  # 姓名
    ce.SkipField(),  # 民族
    ce.IntegerField(max_value=150),  # 年龄
    ce.FloatField(min_value=5, max_value=200),  # 体重
    ce.DateField(),  # 生日
    ce.PassField(),  # 备注
]


with open('data/person.csv') as fp:
    reader = csv.reader(fp)
    for row in ce.extract(reader, fields=fields):
        print(row)

excel.extract 的用法

import xlrd
from yu.extractors import excel as ee

fields = [
    ee.StringField(min_length=2, max_length=4),  # 姓名
    ee.SkipField(),  # 民族
    ee.IntegerField(max_value=150),  # 年龄
    ee.FloatField(min_value=5, max_value=200),  # 体重
    ee.DateField(),  # 生日
    ee.PassField(),  # 备注
]

book = xlrd.open_workbook('data/person.xlsx')
sheet = book.sheet_by_name('person')
for row in ee.extract(sheet, fields=fields):
    print(row)

utils - 其他工具

包括

  • cached_property - 代码来自 Django 项目

  • InstanceMeta - 类的自动实例化

  • Instance - 类的自动实例化(继承方式)

InstanceMeta 示例

from yu.utils import InstanceMeta

class Color(metaclass=InstanceMeta, abstract=True):
    def __str__(self):
        return f'{self.name} = {self.value}'

class Red(Color):
    name = 'red'
    value = 'FF0000'

class Green(Color):
    name = 'green'
    value = '00FF00'

print(Red)
print(Green)

修改记录

v0.2.1

  • 2017-12-11 发布里增加 README.md, data/*

v0.2.0

  • 2017-12-10 添加 yu.extractors.excel,处理 Excel 文件的数据提取

v0.1.1

  • 2017-12-09 添加 yu.extractors.csv, 处理 CSV 文件的数据提取

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

yu-0.2.1.tar.gz (15.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page