嵌入嵌套列表的过滤字典

Question

我希望通过 'abv' 值过滤以下内容（仅使用范围的下限。例如，如果 'ABV: 4.5-5.5%' 我将使用 4.5 作为 ABV 的值）和'cuisine'。到目前为止，这是我的代码：

import requests
from bs4 import BeautifulSoup 
import pandas as pd
import csv
from html.parser import HTMLParser


r = requests.get("https://www.webstaurantstore.com/article/27/different-types-of- 
beers.html")
soup = BeautifulSoup(r.text, "html.parser")
beer_titles = soup.find_all('h3')[3:-1]
beer_titles_list = []
for b in beer_titles:
    result = b.text.strip()
    beer_titles_list.append(result)

helpme = soup.find_all('p')
def __init__(self):
    helpme().__init__()
    helpme.reset()
    helpme.fed = []
helpme_clean = []
for d in helpme:
    result = d.text.strip()
    helpme_clean.append(result)
attributes = helpme_clean[36:-20]


helpme_clean = []
for d in helpme:
    result = d.text.strip()
    helpme_clean.append(result)
attributes = helpme_clean[36:-20]
attributes
attributes = attributes[:252]
del attributes[231]
del attributes[205]
del attributes[204]
del attributes[203]
del attributes[200]
del attributes[191]
del attributes[170]
del attributes[169]
del attributes[168]
del attributes[144]
del attributes[126]
del attributes[125]
del attributes[124]
del attributes[118]
del attributes[107]
del attributes[81]
del attributes[80]
del attributes[79]
del attributes[68]
del attributes[67]
del attributes[66]
del attributes[45]
del attributes[44]
del attributes[43]
del attributes[22]
del attributes[21]
del attributes[20]

n = 5
main_list = [attributes[i:i+n] for i in range(0, len(attributes), n)]
main_dict = dict(zip(beer_titles_list, main_list))
main_dict

目标是接受用户输入（ABV% 偏好和要搭配的美食）并找到有关可供选择的啤酒风格的建议。我正在尝试设置一个过滤系统，以便能够 return 仅匹配 ABV% 偏好和美食搭配的啤酒。任何提示将非常感谢。

非常感谢大家！

Answer 1

匹配'ABV: 4.5-5.5%'的'4.5'最直接的思路就是用regular expression。这是代码：

import re
string='ABV: 4.5-5.5%'
output=re.search(r'([\d\.]+)\-[\d\.]+',string)[1]

至于删除列表中的乘法值，使用list comprehension是一个简单的方法：

new_list=[old_list[i] for i in range(len(old_list)) if not i in indices]

例如：

import numpy as np 
old_list=np.random.random(10)
indices=np.random.choice(np.arange(0,10),5)
new_list=[old_list[i] for i in range(len(old_list)) if not i in indices]

print('The original list is:',list(old_list))
print('The indices to be removed are:',list(indices))
print('The new list is:',list(new_list))

输出：

The original list is: [0.9233779986812494, 0.47976112127600334, 0.2669764806705126, 0.8598525413490794, 0.03257522197544993, 0.472960144751734, 0.07720026239677213, 0.22969097769323488, 0.3039956214047107, 0.5079366193702746]

The indices to be removed are: [2, 0, 1, 7, 3]

The new list is: [0.03257522197544993, 0.472960144751734, 0.07720026239677213, 0.3039956214047107, 0.5079366193702746]

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