我希望通过“ abv”值(仅使用范围的下限)来过滤以下内容。例如,如果“ ABV:4.5-5.5%”,我将使用4.5作为ABV的值)和“美食”。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%偏好和搭配的菜肴)并找到有关啤酒样式的建议。我正在尝试建立一个过滤器系统,以便仅返回与ABV%偏好和料理配对均匹配的啤酒。任何提示将非常感谢。
非常感谢大家!
答案 0 :(得分:1)
匹配'4.5'
中的'ABV: 4.5-5.5%'
的最直接的想法是使用regular expression。这是代码:
import re
string='ABV: 4.5-5.5%'
output=re.search(r'([\d\.]+)\-[\d\.]+',string)[1]
要删除列表中的乘法值,使用list comprehension是一种简单的方法:
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:
原始列表为:[0.9233779986812494,0.47976112127600334, 0.2669764806705126、0.8598525413490794、0.03257522197544993、0.472960144751734、0.07720026239677213、0.22969097769323488、0.3039956214047107、0.5079366193702746]
要删除的索引为:[2,0,1,7,3]
新列表为:[0.03257522197544993,0.472960144751734, 0.07720026239677213、0.3039956214047107、0.5079366193702746]