def addDaily_from_google(self, start_date, end_date):
data_daily_google = gdl.get_dayly_google(self.symbol, start_date, end_date)
self.add_DailyData(data_daily_google)
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import matplotlib.dates as mdates
import numpy as np
from numpy import loadtxt
import time
import graph_lib as gr
import Intraday_lib as itd
import utilities_lib as ul
import indicators_lib as indl
import get_data_lib as gdl
plt.close("all")
LOAD = 1
if (LOAD == 1):
# ITX BKIA SAN GLD
symbol = "SAN"
start_date = [2010, 1, 1]
end_date = [2010, 12, 31]
keys = ['Open', 'High', 'Low', 'Close', 'Volume']
data_google = gdl.get_dayly_google('GLD', start_date, end_date) # IB
close_google = data_google["Volume"].values
date_google = data_google.index.values
date_google_normalized = itd.transform_time(date_google)
labels = ['Adjusted Close', "Days", 'Adjusted Close']
gr.plot_graph([], close_google, labels, 1)
def addDaily_from_google (self,start_date, end_date):
data_daily_google = gdl.get_dayly_google(self.symbol,start_date, end_date )
self.add_DailyData(data_daily_google)