P.dataset( 1, { "url": "https://www.betashares.com.au/files/nav/NDQ_History.csv", "parse_as": "csv", "name": "NAV History", "index": "Date", "subsets": ["NAV"], "scrape_every": "1 day" }) # toppling is the act of: # 1. store index [0] of list as x # 2. prepend x to list # 3. pop last value off list P.topple(1, "NAV") P.dataset( 2, { "url": "NDQ.AX.yfi", "range": "daily", "name": "NASDAQ ETF", "index": "date", "subsets": ["close"], "scrape_every": "1 day" }) P.minimize([1, 2], normalize=True) # our "callables" for date parsing our datasets