nlargest/nsmallest

#Get our data for SPY going back to 2003 and check out the last 5 rows
df = get_pricing('spy', start_date = '2003-01-01', end_date = '2019-09-15', frequency = 'daily')
df.tail()

#Make a new column containing daily percent changes
df['1_day_percent_change'] = df['price'].pct_change()
df.tail()

#Grab our new "1_day_percent_change" column and grab the
#5 largest daily percentage increases
df['1_day_percent_change'].nlargest(5)

#Grab our new "1_day_percent_change" column and grab the
#5 smallest daily percentage increases
df['1_day_percent_change'].nsmallest(5)