PyPI release
2.0.0
This commit is contained in:
scoopgracie
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13
setup.py
13
setup.py
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import setuptools
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with open('README.md', 'r') as fh:
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with open("README.md", "r") as fh:
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long_description = fh.read()
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setuptools.setup(
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name='stockquotes',
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version='1.0.5',
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description='A simple module for retreiving stock data',
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name="stockquotes",
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version="2.0.0",
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description="A simple module for retreiving stock data",
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long_description=long_description,
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long_description_content_type="text/markdown",
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packages=setuptools.find_packages(),
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classifiers=[
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"Programming Language :: Python :: 3",
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"Operating System :: OS Independent"
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"Operating System :: OS Independent",
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],
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python_requires='>=3.0'
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python_requires=">=3.5",
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)
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@ -1,70 +0,0 @@
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Metadata-Version: 2.1
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Name: stockquotes
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Version: 1.0.5
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Summary: A simple module for retreiving stock data
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Home-page: UNKNOWN
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License: UNKNOWN
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Description: `stockquotes` is a simple Python module for collecting stock quotes and historical data from Yahoo! Finance. It's perfect for developers who can't afford the (often steep) prices charged by many stock data APIs.
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# Requirements
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* Python 3.6+
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* Beautiful Soup 4
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# Installation
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pip3 install stockquotes
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# Usage
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First, import the `stockquotes` module.
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import stockquotes
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To get a stock quote, instantiate a `stockquotes.Stock` object. The only parameter is the ticker symbol to look up.
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kroger = stockquotes.Stock('KR')
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## Basic data
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To get the current price of a share, get the `Stock`'s `currentPrice`.
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krogerPrice = kroger.currentPrice
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To get the day gain in dollars, get the `Stock`'s `increaseDollars`.
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krogerGainDollars = kroger.increaseDollars
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The same value as a percent is available in the `increasePercent` property. To indicate losses, these values are negative.
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## Historical data
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The historical data for a stock can be accessed through the `Stock`'s `historical` property. This is an array of `dict`s, with the first item representing the most recent quote. The `dict`'s `date` property is a `datetime` object representing the date the quote is from. `open` is the opening price for that day. `high` and `low` are the high and low prices, respectively, for that day. `close` and `adjClose` are the closing price. The difference is that `adjClose` is adjusted for splits and dividends, whereas `close` is adjusted only for splits. `volume` is the stock's volume for that day.
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# Exceptions
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`stockquotes.StockDoesNotExistError` is raised when the stock does not exist.
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`stockquotes.NetworkError` is raised when a connection to Yahoo! Finance cannot be established.
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# License
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Copyright (c) 2019 ScoopGracie. All rights reversed.
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This is free and unencumbered software released into the public domain.
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Anyone is free to copy, modify, publish, use, compile, sell, or
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distribute this software, either in source code form or as a compiled
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binary, for any purpose, commercial or non-commercial, and by any
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means.
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In jurisdictions that recognize copyright laws, the author or authors
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of this software dedicate any and all copyright interest in the
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software to the public domain. We make this dedication for the benefit
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of the public at large and to the detriment of our heirs and
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successors. We intend this dedication to be an overt act of
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relinquishment in perpetuity of all present and future rights to this
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software under copyright law.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
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OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
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ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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OTHER DEALINGS IN THE SOFTWARE.
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For more information, please refer to <https://unlicense.org/>
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Platform: UNKNOWN
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Classifier: Programming Language :: Python :: 3
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Classifier: Operating System :: OS Independent
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Requires-Python: >=3.0
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Description-Content-Type: text/markdown
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@ -1,8 +0,0 @@
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README.md
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setup.py
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stockquotes/__init__.py
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stockquotes/script.py
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stockquotes.egg-info/PKG-INFO
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stockquotes.egg-info/SOURCES.txt
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stockquotes.egg-info/dependency_links.txt
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stockquotes.egg-info/top_level.txt
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@ -1 +0,0 @@
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@ -1 +0,0 @@
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stockquotes
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@ -2,12 +2,12 @@
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# stockquotes - Python module to pull stock quotes from Yahoo! Finance
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# Copyright 2020 ScoopGracie. All rights reversed.
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# This is free and unencumbered software released into the public domain.
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#
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# Anyone is free to copy, modify, publish, use, compile, sell, or
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# distribute this software, either in source code form or as a compiled
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# binary, for any purpose, commercial or non-commercial, and by any
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# means.
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#
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# In jurisdictions that recognize copyright laws, the author or authors
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# of this software dedicate any and all copyright interest in the
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# software to the public domain. We make this dedication for the benefit
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@ -15,7 +15,7 @@
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# successors. We intend this dedication to be an overt act of
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# relinquishment in perpetuity of all present and future rights to this
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# software under copyright law.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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@ -28,70 +28,75 @@ from bs4 import BeautifulSoup as bs
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import requests
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import datetime
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class StockDoesNotExistError(Exception):
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pass
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class NetworkError(Exception):
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pass
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class Stock:
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def __init__(self, ticker):
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try:
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r = requests.get(
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'https://finance.yahoo.com/quote/{}/history'\
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.format(ticker),
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"https://finance.yahoo.com/quote/{}/history".format(ticker),
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headers={
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'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64)' +
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' AppleWebKit/537.36 (KHTML, like Gecko)' +
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' Chrome/79.0.3941.4 Safari/537.36'
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})
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"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3941.4 Safari/537.36"
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},
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)
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except:
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raise NetworkError()
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if r.status_code is 302:
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raise StockDoesNotExistError(ticker)
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try:
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soup = bs(r.text, features="lxml")
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self.symbol = soup.h1.string.split('(')[1].split(')')[0]
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self.name = soup.h1.string.split('(')[0].strip()
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rows = soup.table.tbody.find_all('tr')
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self.symbol = soup.h1.string.split("(")[1].split(")")[0]
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self.name = soup.h1.string.split("(")[0].strip()
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rows = soup.table.tbody.find_all("tr")
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self.historical = []
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for i in rows:
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row=i.find_all('td')
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row = i.find_all("td")
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try:
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parsed = {
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"date": datetime.datetime.strptime(
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row[0].span.string,
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'%b %d, %Y'
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row[0].span.string, "%b %d, %Y"
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),
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"open": float(row[1].span.string.replace(',', '')),
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"high": float(row[2].span.string.replace(',', '')),
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"low": float(row[3].span.string.replace(',', '')),
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"close": float(row[4].span.string.replace(',', '')),
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"open": float(row[1].span.string.replace(",", "")),
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"high": float(row[2].span.string.replace(",", "")),
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"low": float(row[3].span.string.replace(",", "")),
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"close": float(row[4].span.string.replace(",", "")),
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"adjusted_close": float(
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row[5].span.string.replace(',', '')),
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"volume": int(row[6].span.string.replace(',', ''))
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row[5].span.string.replace(",", "")
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),
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"volume": int(row[6].span.string.replace(",", "")),
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}
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except:
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continue
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self.historical.append(parsed)
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top_data = soup.find(id='quote-header-info')
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top_data = soup.find(id="quote-header-info")
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try:
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self.current_price = float(
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top_data.findAll('span')[11].string.replace(',', ''))
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raw_change = top_data.findAll('span')[12].string
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top_data.findAll("span")[11].string.replace(",", "")
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)
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raw_change = top_data.findAll("span")[12].string
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except IndexError:
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self.current_price = float(
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top_data.findAll('span')[3].string.replace(',', ''))
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raw_change = top_data.findAll('span')[4].string
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top_data.findAll("span")[3].string.replace(",", "")
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)
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raw_change = top_data.findAll("span")[4].string
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self.increase_dollars = float(
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raw_change.split(' ')[0].replace(',', ''))
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raw_change.split(" ")[0].replace(",", "")
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)
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self.increase_percent = float(
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raw_change.split(' ')[1]\
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.replace(',', '')\
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.replace('(', '')\
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.replace(')', '')\
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.replace('%', ''))
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raw_change.split(" ")[1]
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.replace(",", "")
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.replace("(", "")
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.replace(")", "")
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.replace("%", "")
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)
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except AttributeError as error:
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raise StockDoesNotExistError(ticker) from error
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