def for_random_views(args, key, *other_args):
"""
Analyze data for a completely random set of views
"""
prices = cruncher.get_stock_data(args, key)
for _ in xrange(RANDOM_VIEWS_PER_STOCK):
day = randint(args.interval, len(prices) - args.interval)
get_pre_and_post_returns(args, day, prices)
def for_historical_views(args, key, outliers, quantile):
"""
Analyze all desired wikipedia pages over the current year for trends
involving outliers in page views and accompanying changes in stock
prices 10 business days afterwards.
"""
prices = cruncher.get_stock_data(args, key)
for date, val in outliers:
day_of_year = int(
convert_wiki_date_to_datetime(date).strftime("%j")) - 1
get_pre_and_post_returns(args, day_of_year, prices)
