[英]How do I iterate a list of values into a string?
我是 Python 新手,所以请原谅我缺乏理解。
我可以使用 BeatifulSoup4 下载aapl
的数据,将数据分配给特定变量并使用变量创建字典。 不过,我想做的是通过网站链接迭代stock
列表,并为列表中的不同公司多次运行相同的代码,并最终为每个公司提供一个字典。
import bs4 as bs
import urllib.request
stocks = ['aapl', 'nvda', 'amgn']
sauce = urllib.request.urlopen('https://www.zacks.com/stock/quote/aapl/balance-sheet')
soup = bs.BeautifulSoup(sauce,'lxml')
#Cash & Cash Equivalents
cash_and_equivalents2017 = soup.find_all('td')[33].string
cash_and_equivalents2017 = int(cash_and_equivalents2017.replace(',',''))
cash_and_equivalents2016 = soup.find_all('td')[34].string
cash_and_equivalents2016 = int(cash_and_equivalents2016.replace(',',''))
#Receivables
receivables2017 = soup.find_all('td')[40].string
receivables2017 = int(receivables2017.replace(',',''))
receivables2016 = soup.find_all('td')[41].string
receivables2016 = int(receivables2016.replace(',',''))
aapl = {'Cash & Cash Equivalents':
{'2017': cash_and_equivalents2017,
'2016': cash_and_equivalents2016},
'Receivables':
{'2017': receivables2017,
'2016': receivables2016}
}
print(aapl)
它为aapl
输出以下aapl
:
{'Cash & Cash Equivalents': {'2017': 74181, '2016': 67155}, 'Receivables': {'2017': 29299, '2016': 30343}}
以上是原代码,我想替代aapl
在sauce
中另一个字符串值stocks
,最终得到多个字典如下图所示,这样我可以通过只输入他们自动为各个公司的数据下载到3个不同的字典在stock
清单中。
sauce = urllib.request.urlopen('https://www.zacks.com/stock/quote/[stocks]/balance-sheet')
[stocks] = {'Cash & Cash Equivalents':
{'2017': cash_and_equivalents2017,
'2016': cash_and_equivalents2016},
'Receivables':
{'2017': receivables2017,
'2016': receivables2016}
和输出应该是3点字典与名称aapl
, nvda
, amgn
。
aapl = {'Cash & Cash Equivalents':
{'2017': cash_and_equivalents2017,
'2016': cash_and_equivalents2016},
'Receivables':
{'2017': receivables2017,
'2016': receivables2016}
nvda = {'Cash & Cash Equivalents':
{'2017': cash_and_equivalents2017,
'2016': cash_and_equivalents2016},
'Receivables':
{'2017': receivables2017,
'2016': receivables2016}
amgn = {'Cash & Cash Equivalents':
{'2017': cash_and_equivalents2017,
'2016': cash_and_equivalents2016},
'Receivables':
{'2017': receivables2017,
'2016': receivables2016}
感谢您的时间和帮助,非常感谢。
我不确定我是否正确理解了你的问题。
您想对stocks = ['aapl', 'nvda', 'amgn']
每个条目进行一个请求和处理吗?
如果是这样,在 Python 中,您可以使用 for 循环遍历列表或字典,如下所示:
for stock in stocks:
# Do your processing here
在您的情况下,您可以执行以下操作:
使用 dict 而不是列表并将处理过的数据存储在其中。
stocks = {'aapl': {}, 'nvda': {}, 'amgn': {}}
for stock in stocks:
sauce = urllib.request.urlopen(
f'https://www.zacks.com/stock/quote/{stock}/balance-sheet')
soup = bs.BeautifulSoup(sauce, 'lxml')
# Cash & Cash Equivalents
cash_and_equivalents2017 = soup.find_all('td')[33].string
cash_and_equivalents2017 = int(cash_and_equivalents2017.replace(',', ''))
cash_and_equivalents2016 = soup.find_all('td')[34].string
cash_and_equivalents2016 = int(cash_and_equivalents2016.replace(',', ''))
# Receivables
receivables2017 = soup.find_all('td')[40].string
receivables2017 = int(receivables2017.replace(',', ''))
receivables2016 = soup.find_all('td')[41].string
receivables2016 = int(receivables2016.replace(',', ''))
stocks[stock] = {'Cash & Cash Equivalents':
{'2017': cash_and_equivalents2017,
'2016': cash_and_equivalents2016},
'Receivables':
{'2017': receivables2017,
'2016': receivables2016}
}
print(stocks)
至于 url 字符串,我使用了litteral string 插值方法
将输出以下内容:
{
'aapl':
{
'Cash & Cash Equivalents':
{
'2017': 'some value',
'2016': 'some value'
},
'Receivables':
{
'2017': 'some value',
'2016': 'some value'
}
},
'nvda':
{
'Cash & Cash Equivalents':
{
'2017': 'some value',
'2016': 'some value'
},
'Receivables':
{
'2017': 'some value',
'2016': 'some value'
}
},
'amgn':
{
'Cash & Cash Equivalents':
{
'2017': 'some value',
'2016': 'some value'
},
'Receivables':
{
'2017': 'some value',
'2016': 'some value'
}
}
}
祝你今天过得愉快。
将每个响应附加到这样的一个列表中,并从 dictioanry 中提取值:
aapl, nvda, amgn = [{'Cash & Cash Equivalents': {'2017': 74181, '2016': 67155}, 'Receivables': {'2017': 29299, '2016': 30343}},{'Cash & Cash Equivalents': {'2017': 74181, '2016': 67155}, 'Receivables': {'2017': 29299, '2016': 30343}},{'Cash & Cash Equivalents': {'2017': 74181, '2016': 67155}, 'Receivables': {'2017': 29299, '2016': 30343}}]
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