kj7rrv/stockquotes
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Really PEP8ify

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Broke the API, but it's now fully compliant (AFAIK)
This commit is contained in:
scoopgracie 2020-04-20 07:37:07 -07:00
parent f506c44cdf
commit 68adb47d56
2 changed files with 30 additions and 28 deletions
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22
README.md
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@ -3,10 +3,11 @@ historical data from Yahoo! Finance. It's perfect for developers who can't
afford the (often high) prices charged by many stock data APIs.
# Requirements
* Python 3.6+
* Python 3.5+
* Beautiful Soup 4
# Installation
pip3 install stockquotes
# Usage
@ -20,15 +21,15 @@ parameter is the ticker symbol to look up.
kroger = stockquotes.Stock('KR')
## Basic data
To get the current price of a share, get the `Stock`'s `currentPrice`.
To get the current price of a share, get the `Stock`'s `current_price`.
krogerPrice = kroger.currentPrice
krogerPrice = kroger.current_price
To get the day gain in dollars, get the `Stock`'s `increaseDollars`.
To get the day gain in dollars, get the `Stock`'s `increase_dollars`.
krogerGainDollars = kroger.increaseDollars
krogerGainDollars = kroger.increase_dollars
The same value as a percent is available in the `increasePercent` property. To
The same value as a percent is available in the `increase_percent` property. To
indicate losses, these values are negative.
## Historical data
@ -37,10 +38,10 @@ The historical data for a stock can be accessed through the `Stock`'s
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.
respectively, for that day. `close` and `adjusted_close` 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.
Typically, this should give at least a month of data. Obviously, it gives less
for recent IPOs. Also, a known but unexplained bug causes it to only give two
@ -78,4 +79,3 @@ ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
For more information, please refer to <https://unlicense.org/>

42
stockquotes/__init__.py
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@ -63,30 +63,32 @@ class Stock:
row[0].span.string,
'%b %d, %Y'
),
"open" : float(row[1].span.string.replace(',', '')),
"high" : float(row[2].span.string.replace(',', '')),
"low" : float(row[3].span.string.replace(',', '')),
"close" : float(row[4].span.string.replace(',', '')),
"adjClose": float(row[5].span.string.replace(',', '')),
"volume" : int(row[6].span.string.replace(',', ''))
"open": float(row[1].span.string.replace(',', '')),
"high": float(row[2].span.string.replace(',', '')),
"low": float(row[3].span.string.replace(',', '')),
"close": float(row[4].span.string.replace(',', '')),
"adjusted_close": float(
row[5].span.string.replace(',', '')),
"volume": int(row[6].span.string.replace(',', ''))
}
except:
continue
self.historical.append(parsed)
topData = soup.find(id='quote-header-info')
try:
self.currentPrice = float(
topData.findAll('span')[11].string.replace(',', ''))
rawChange = topData.findAll('span')[12].string
except IndexError:
self.currentPrice = float(
topData.findAll('span')[3].string.replace(',', ''))
rawChange = topData.findAll('span')[4].string
self.increaseDollars = float(
rawChange.split(' ')[0].replace(',', ''))
self.increasePercent = float(
rawChange.split(' ')[1]\
self.historical.append(parsed)
top_data = soup.find(id='quote-header-info')
try:
self.current_price = float(
top_data.findAll('span')[11].string.replace(',', ''))
raw_change = top_data.findAll('span')[12].string
except IndexError:
self.current_price = float(
top_data.findAll('span')[3].string.replace(',', ''))
raw_change = top_data.findAll('span')[4].string
self.increase_dollars = float(
raw_change.split(' ')[0].replace(',', ''))
self.increase_percent = float(
raw_change.split(' ')[1]\
.replace(',', '')\
.replace('(', '')\
.replace(')', '')\