Join 2

 $ stocks.query('nike > = 90')

 $ stocks.query('nike > = 90 and disney <= 140')

 $ stocks.query('nike > = 90 or disney <= 140')

 $ stocks.query('stock == "disney" or (stock  == "nike" and close <= 140)')

 

$ df.melt(id_vars = ['var1', 'var2'], value_vars = ['var3', 'var4'], var_name = ['year'], value_name = 'dollars') : id_vars are the vars that you don't want to change! value_vars define certain rows you want to keep, other rows wont show