Quandl stock data pull script

Author: PyDataBlog

Tutorials/Quandl Script.py

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+# import needed libraries
+import quandl
+import pandas as pd
+
+# add quandl API key for unrestricted
+quandl.ApiConfig.api_key = 'INSERT YOU API KEY HERE'
+
+# get the table for daily stock prices and,
+# filter the table for selected tickers, columns within a time range
+# set paginate to True because Quandl limits tables API to 10,000 rows per call
+data = quandl.get_table('WIKI/PRICES', ticker = ['AAPL', 'MSFT', 'WMT'], 
+                        qopts = { 'columns': ['ticker', 'date', 'adj_close'] }, 
+                        date = { 'gte': '2015-12-31', 'lte': '2016-12-31' }, 
+                        paginate=True)
+
+# create a new dataframe with 'date' column as index
+new = data.set_index('date')
+
+# use pandas pivot function to sort adj_close by tickers
+clean_data = new.pivot(columns='ticker')