def calculateStats( self, p_market_list, p_exchange, p_interval ):
market_stats = [] #pd.DataFrame()
error_list = []
market_count = 0
total_markets = len(p_market_list)
print("Market count: "+str(total_markets))
for market_name in p_market_list:
market_count += 1
mkt = Market(market_name, p_exchange, p_interval)
try:
print(str(market_count)+" of "+str(total_markets)+" "+mkt.getMarketName() +", " + mkt.getInterval() +" on " + mkt.getExchange())
mkt_data = mkt.readMarketDataCSV() # self.readMarketDataCSV()
except IOError:
# print("ERROR: Portfolio::calculateStats " + )
self.printException(inspect.currentframe().f_lineno, market_name + " does not exist. "+str(sys.exc_info()[0]))
error_list = ["NO FILE: "+market_name] + error_list
print(); print(); print()
except:
self.printException(inspect.currentframe().f_lineno,"ERROR: unknown - "+str(sys.exc_info()[0]))
# print(sys.exc_info()[0])
error_list = ["ERROR: "+market_name] + error_list
print(); print(); print()
else:
mstats = MarketStats()
mstats.calculateStats( market_name, mkt_data )
market_stats.append(mstats.toDict())
# print(mstats.toDataFrame())
#convert to dataframe
return pd.DataFrame.from_records(market_stats, index="market_name")
plt.title(stock)
plt.legend()
plt.subplots_adjust(left=0.09, bottom=0.20, right=0.94, top=0.90, wspace=0.2, hspace=0)
plt.show()
if __name__ == "__main__":
mkt_name = "Bitcoin"
mkt = Market(mkt_name)
mkt_data = mkt.readMarketDataCSV(p_test=True)
graph = GraphCandlestick()
quotes = mkt_data.loc[:,"Date":"Close"]
print(quotes.head(10))
graph.graph_data(mkt_name, quotes)
# run(config, testing, tickers, filename)
# === PREVIOUS LOAD DATA CODE ==================================
# def bytespdate2num(fmt, encoding='utf-8'):
# strconverter = mdates.strpdate2num(fmt)
# def bytesconverter(b):
# s = b.decode(encoding)
# return strconverter(s)
