def label_formatter(x, pos):
v = int(x)
if v <= 9:
return ballpark.business(v, precision=1)
elif v <= 99:
return ballpark.business(v, precision=2)
else:
return ballpark.business(v, precision=3)
def refresh(self):
'''Refresh data and screens'''
# fisrt refresh data if necessary
now = time.time()
since = now - self.lastCheck
if since >= self.configuration["refresh_delay"] or since < 0.0:
self.checkPrice()
self.checkPriceYesterday()
self.checkWalletsBalance()
self.lastCheck = time.time()
# Second refresh the screens
self.screen[0] = self.parse_summary()
for x in range(len(self.configuration["addresses"])):
s1 = self.configuration['addresses'][x]['description']
s2 = '%s BTC = %s %s' % (business(self.walletBalance[x]), business(self.walletBalance[x] * self.priceLast), self.configuration["currency"])
self.screen[ x + 1 ] = [s1, s2]
def convert_to_business(num):
if abs(num) < 0.1:
return 0
else:
num_str = business(
abs(num),
precision=5,
)
if num < 0:
return "-" + num_str
else:
return num_str
COMPANY INTRO:
CHICAGO (AP) - {{ company_name }} ({{ ticker }}) on {{ weekday }} reported fiscal third-quarter net income of ${{ net_income }}.
{{ company_name }}, {{ state }}-based company said it's earnings, adjusted for non-recurring costs, came to ${{ lastQtrEPS }} per share. The results beat Wall Street expectations.
{{ company_name}} also posted revenue of ${{ total_revenue }} Million in the period, also exceeding Street forecasts.
The company also posted a dividend rate of {{an_dividend_rate}}% with a divided yeild of {{dividend_yield}}% """)
prefixes = {6: ' million'} # ...fill in the rest
intro = Introtemplate.render(
company_name=company_name,
ticker=symbol,
weekday=weekday,
lastQtrEPS = df["lastQtrEPS"][0],
total_revenue = df["annualRevenue"][0],
dividend_yield = df["annualDividendYield"][0],
an_dividend_rate = df["annualDividendRate"][0],
net_income=business(income['netIncome'], prefixes=prefixes),
state=states[company['state']]
)
print(intro)
url3 = "http://ondemand.websol.barchart.com/getQuote.csv"
querystring = {"symbols": symbol,"fields":"ask,bid, open, high, low, close,impliedVolatility, numTrades,fiftyTwoWkHigh,fiftyTwoWkLow","mode":"R","apikey":"barcharthackathon"}
r = requests.request("GET", url3, params=querystring)
df_quotes = pd.read_csv(StringIO(r.text))
Quotetemplate = Template("""
THE STOCKS PERFORMANCE WITH EXPLANATION:
CHICAGO (AP)- {{ company_name}} ({{ticker}}) on {{weekday}} has the following results:
The ({{ticker}}) stock opened today with ${{opening}} and is currently going at ${{last_price}} which gives a net change of {{percent_change}}%.
def parse_summary(self): s1 = '1BTC = %s %s' % (business(self.priceLast), self.configuration["currency"]) s2 = 'Monit: %s wallets' % (len(self.configuration["addresses"])) return [s1, s2]