In fact, zip() can accept any number of iterable arguments. Let's add a third time-series and use other built-ins to calculate statistics for corresponding times:

>>> tuesday = [2, 2, 3, 7, 9, 10, 11, 12, 10, 9, 8, 8]
>>> for temps in zip(sunday, monday, tuesday):
...     print("min = {:4.1f}, max={:4.1f}, average={:4.1f}".format(
...            min(temps), max(temps), sum(temps) / len(temps)))
...
min =  2.0, max=13.0, average= 9.0
min =  2.0, max=14.0, average=10.0
min =  3.0, max=15.0, average=10.7
min =  7.0, max=15.0, average=12.0
min =  9.0, max=17.0, average=14.0
min = 10.0, max=21.0, average=17.0
min = 11.0, max=22.0, average=18.0
min = 12.0, max=22.0, average=18.7
min = 10.0, max=23.0, average=18.3
min =  9.0, max=22.0, average=17.3
min =  8.0, max=20.0, average=15.7
min =  8.0, max=18.0, average=14.3

Note how we've used string formatting features to control the numeric column width to four characters.