11个你可能不知道的Python库
jopen
9年前
1) delorean
非常酷的日期/时间库
from delorean import Delorean EST = "US/Eastern" d = Delorean(timezone=EST)
2) prettytable
可以在浏览器或终端构建很不错的输出
from prettytable import PrettyTable table = PrettyTable(["animal", "ferocity"]) table.add_row(["wolverine", 100]) table.add_row(["grizzly", 87]) table.add_row(["Rabbit of Caerbannog", 110]) table.add_row(["cat", -1]) table.add_row(["platypus", 23]) table.add_row(["dolphin", 63]) table.add_row(["albatross", 44]) table.sort_key("ferocity") table.reversesort = True +----------------------+----------+ | animal | ferocity | +----------------------+----------+ | Rabbit of Caerbannog | 110 | | wolverine | 100 | | grizzly | 87 | | dolphin | 63 | | albatross | 44 | | platypus | 23 | | cat | -1 | +----------------------+----------+ 3) snowballstemmer
非常瘦小的语言转换库，支持15种语言
from snowballstemmer import EnglishStemmer, SpanishStemmer EnglishStemmer().stemWord("Gregory") # Gregori SpanishStemmer().stemWord("amarillo") # amarill 4) wget
Python的网络爬虫库
import wget wget.download(" # 100% [............................................................................] 280385 / 280385 5) PyMC
PyMC，一个用于贝叶斯分析的函数库
from pymc.examples import disaster_model from pymc import MCMC M = MCMC(disaster_model) M.sample(iter=10000, burn=1000, thin=10) [-----------------100%-----------------] 10000 of 10000 complete in 1.4 sec
6) sh
将shell命令作为函数导入Python脚本
from sh import find find("/tmp") /tmp/foo /tmp/foo/file1.json /tmp/foo/file2.json /tmp/foo/file3.json /tmp/foo/bar/file3.json 7) fuzzywuzzy
用于字符串匹配率、令牌匹配等
from fuzzywuzzy import fuzz fuzz.ratio("Hit me with your best shot", "Hit me with your pet shark") # 85 8) progressbar
如其名，一个滚动条函数库
from progressbar import ProgressBar import time pbar = ProgressBar(maxval=10) for i in range(1, 11): pbar.update(i) time.sleep(1) pbar.finish() # 60% |######################################################## |
9) colorama
一个色彩库，可以为文本添加丰富的色彩
10) uuid
一个可以产生唯一uuid的库
import uuid print uuid.uuid4() # e7bafa3d-274e-4b0a-b9cc-d898957b4b61
11) bashplotlib
Python的绘图控件，可以绘制直方图、散点图等
$ pip install bashplotlib $ scatter --file data/texas.txt --pch x
