1.re.match()

re.match（）的概念是從頭匹配一個(gè)符合規(guī)則的字符串，從起始位置開(kāi)始匹配，匹配成功返回一個(gè)對(duì)象，未匹配成功返回None。

包含的參數(shù)如下：

pattern： 正則模型

string ： 要匹配的字符串

falgs ： 匹配模式

match() 方法一旦匹配成功，就是一個(gè)match object對(duì)象，而match object對(duì)象有以下方法：

group() 返回被 RE 匹配的字符串

start() 返回匹配開(kāi)始的位置

end() 返回匹配結(jié)束的位置

span()返回一個(gè)元組包含匹配 (開(kāi)始,結(jié)束) 的位置

案例：

import re# re.match 返回一個(gè)Match Object 對(duì)象# 對(duì)象提供了 group() 方法，來(lái)獲取匹配的結(jié)果result = re.match('hello','hello,world')if result: print(result.group())else: print('匹配失敗!')

輸出結(jié)果：

hello

2.re.search()

re.search（）函數(shù)會(huì)在字符串內(nèi)查找模式匹配,只要找到第一個(gè)匹配然后返回，如果字符串沒(méi)有匹配，則返回None。

格式：re.search(pattern, string, flags=0)

要求：匹配出文章閱讀的次數(shù)

import reret = re.search(r'd+', '閱讀次數(shù)為 9999')print(ret.group())

輸出結(jié)果：

9999

3.match()和search()的區(qū)別：

match（）函數(shù)只檢測(cè)RE是不是在string的開(kāi)始位置匹配，

search()會(huì)掃描整個(gè)string查找匹配

match（）只有在0位置匹配成功的話才有返回，如果不是開(kāi)始位置匹配成功的話，match()就返回none

舉例說(shuō)明：

import reprint(re.match(’super’, ’superstition’).span())

(0, 5)

print(re.match(’super’,’insuperable’))

None

print(re.search(’super’,’superstition’).span())

(0, 5)

print(re.search(’super’,’insuperable’).span())

(2, 7)

補(bǔ)充知識(shí)： jupyter notebook_主函數(shù)文件如何調(diào)用類(lèi)文件

使用jupyter notebook編寫(xiě)python程序，rw_visual.jpynb是寫(xiě)的主函數(shù)，random_walk.jpynb是類(lèi)（如圖）。在主函數(shù)中將類(lèi)實(shí)例化后運(yùn)行會(huì)報(bào)錯(cuò)，經(jīng)網(wǎng)絡(luò)查找解決了問(wèn)題，缺少I(mǎi)pynb_importer.py這樣一個(gè)鏈接文件。

解決方法：

1、在同一路徑下創(chuàng)建名為Ipynb_importer.py的文件：File-->download as-->Python(.py)，該文件內(nèi)容如下：

#!/usr/bin/env python# coding: utf-8# In[ ]: import io, os,sys,typesfrom IPython import get_ipythonfrom nbformat import readfrom IPython.core.interactiveshell import InteractiveShell class NotebookFinder(object): '''Module finder that locates Jupyter Notebooks''' def __init__(self): self.loaders = {} def find_module(self, fullname, path=None): nb_path = find_notebook(fullname, path) if not nb_path: return key = path if path: # lists aren’t hashable key = os.path.sep.join(path) if key not in self.loaders: self.loaders[key] = NotebookLoader(path) return self.loaders[key] def find_notebook(fullname, path=None): '''find a notebook, given its fully qualified name and an optional path This turns 'foo.bar' into 'foo/bar.ipynb' and tries turning 'Foo_Bar' into 'Foo Bar' if Foo_Bar does not exist. ''' name = fullname.rsplit(’.’, 1)[-1] if not path: path = [’’] for d in path: nb_path = os.path.join(d, name + '.ipynb') if os.path.isfile(nb_path): return nb_path # let import Notebook_Name find 'Notebook Name.ipynb' nb_path = nb_path.replace('_', ' ') if os.path.isfile(nb_path): return nb_path class NotebookLoader(object): '''Module Loader for Jupyter Notebooks''' def __init__(self, path=None): self.shell = InteractiveShell.instance() self.path = path def load_module(self, fullname): '''import a notebook as a module''' path = find_notebook(fullname, self.path) print ('importing Jupyter notebook from %s' % path) # load the notebook object with io.open(path, ’r’, encoding=’utf-8’) as f: nb = read(f, 4) # create the module and add it to sys.modules # if name in sys.modules: # return sys.modules[name] mod = types.ModuleType(fullname) mod.__file__ = path mod.__loader__ = self mod.__dict__[’get_ipython’] = get_ipython sys.modules[fullname] = mod # extra work to ensure that magics that would affect the user_ns # actually affect the notebook module’s ns save_user_ns = self.shell.user_ns self.shell.user_ns = mod.__dict__ try: for cell in nb.cells: if cell.cell_type == ’code’:# transform the input to executable Pythoncode = self.shell.input_transformer_manager.transform_cell(cell.source)# run the code in themoduleexec(code, mod.__dict__) finally: self.shell.user_ns = save_user_ns return modsys.meta_path.append(NotebookFinder())

2、在主函數(shù)中import Ipynb_importer

import matplotlib.pyplot as pltimport Ipynb_importer from random_walk import RandomWalk rw = RandomWalk()rw.fill_walk()plt.scatter(rw.x_values, rw.y_values, s=15)plt.show()

3、運(yùn)行主函數(shù)，調(diào)用成功

ps:random_walk.jpynb文件內(nèi)容如下：

from random import choice class RandomWalk(): def __init__(self, num_points=5000): self.num_points = num_points self.x_values = [0] self.y_values = [0] def fill_walk(self): while len(self.x_values) < self.num_points: x_direction = choice([1,-1]) x_distance = choice([0,1,2,3,4]) x_step = x_direction * x_distance y_direction = choice([1,-1]) y_distance = choice([0,1,2,3,4]) y_step = y_direction * y_distance if x_step == 0 and y_step == 0:continue next_x = self.x_values[-1] + x_step next_y = self.y_values[-1] + y_step self.x_values.append(next_x) self.y_values.append(next_y)

運(yùn)行結(jié)果：

以上這篇淺談Python中re.match()和re.search()的使用及區(qū)別就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持好吧啦網(wǎng)。