Initial import

git-svn-id: http://moon:8086/svn/projects/Stock@291 fda53097-d464-4ada-af97-ba876c37ca34

my_test.py

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+'''
+On your terminal run:
+pip install alpha_vantage
+
+This also uses the pandas dataframe, and matplotlib, commonly used python packages
+pip install pandas
+pip install matplotlib
+
+For the develop version run:
+pip install git+https://github.com/RomelTorres/alpha_vantage.git@develop
+'''
+
+from alpha_vantage.timeseries import TimeSeries
+from alpha_vantage.techindicators import TechIndicators
+
+from matplotlib.pyplot import figure
+import matplotlib.pyplot as plt
+
+# Your key here
+key = '0UO7Z2MVZ2YSQSVE'
+# Chose your output format, or default to JSON (python dict)
+ts = TimeSeries(key, output_format='pandas')
+
+# Get the data, returns a tuple
+# aapl_data is a pandas dataframe, aapl_meta_data is a dict
+aapl_data, aapl_meta_data = ts.get_daily(symbol='AAPL')
+
+
+# Visualization
+figure(num=None, figsize=(15, 6), dpi=80, facecolor='w', edgecolor='k')
+aapl_data['4. close'].plot()
+dataArray = aapl_data['4. close'].to_numpy()
+plt.tight_layout()
+plt.grid()
+plt.show()