def volumeOverYearLineGraph(ticker, year):
dailyData = historical_daily.getByTickerAndYear(ticker, year)
seriesData = {}
for row in dailyData:
seriesData.update({pd.to_datetime(row.date): row.data.get('volume')})
openingByDaySeries = pd.Series(seriesData)
graph = openingByDaySeries.plot.line()
graph.set_xlabel("Day")
graph.set_ylabel("Volume")
Logger.writeGraphToFile(graph.get_figure(),
"_".join([ticker, str(year), "Volume"]))
def byMinuteIntradayLineGraph(ticker, yaxis, day=None):
minutes_data = iex.getHistoricalIntradayByMinute(ticker, day)
seriesData = {}
for row in minutes_data:
seriesData.update({pd.to_datetime(row.get('minute')): row.get(yaxis)})
try:
volumeByMinuteSeries = pd.Series(seriesData)
graph = volumeByMinuteSeries.plot.line()
graph.set_xlabel("Time (in minutes)")
graph.set_ylabel(yaxis)
if (day == None):
day = datetime.today()
Logger.writeGraphToFile(
graph.get_figure(),
"_".join([ticker, day.strftime("%Y-%m-%d"), yaxis, "graph"]))
except Exception as ex:
print("error generating graph for ticker:{}, yaxis:{}".format(
ticker, yaxis))
print(ex)
def valueOverRangeLineGraph(ticker, value, start, end):
dailyData = iex.getHistoricalDataByRange(ticker, start, end)
print('here1, should log iex historvatl range')
Logger.debug('iex historical range data is')
Logger.debug(dailyData)
seriesData = {}
for day, value in dailyData.items():
print('day is')
print(day)
print(value)
seriesData.update({pd.to_datetime(day): value.get('close')})
openingByDaySeries = pd.Series(seriesData)
graph = openingByDaySeries.plot.line()
graph.set_xlabel("Day")
graph.set_ylabel(value)
Logger.writeGraphToFile(
graph.get_figure(),
"_".join([ticker, str(start),
str(end), "Closing Price"]))
