Can I assign a dictionary key to a list OR list of lists. Then take averages, cov, etc it:
input={'03439', '03440'}
list of list= [[PersonA, 7, 8, 9, 10, 11],[PersonB, 12, 13, 14, 15, 16]]
Desired Output
{'03439': [PersonA, 7, 8, 9, 10, 11],'03440':[PersonB, 12, 13, 14, 15, 16]}
If I wanted to take the average values of the above, can I do so even with part of this being string and the other values?
In case you wanted to calculate the average there and then you could do
>>> PersonA = 'Pino'
>>> PersonB = 'Gino'
>>> i=('03439', '03440') # tuple
>>> l=[[PersonA, 7, 8, 9, 10, 11],[PersonB, 12, 13, 14, 15, 16]]
>>> av={k:[v[0], sum(v[1:])/(len(v)-1)] for k,v in zip(i,l)}
>>> av
{'03439': ['Pino', 9.0], '03440': ['Gino', 14.0], }
Nota Bene: for the zipping to work input must be an iterable which can keep the order of its elements, e.g. a tuple or a list. Sets and plain dictionaries cannot do it.
And the answer is no, integers cannot be summed with strings
Using izip and list comprehension
from itertools import izip
[dict([(x,y)])for x,y in izip({'03439', '03440'},[['PersonA', 7, 8, 9, 10, 11],['PersonB', 12, 13, 14, 15, 16]])]
output
[{'03439': ['PersonA', 7, 8, 9, 10, 11]}, {'03440': ['PersonB', 12, 13, 14, 15, 16]}]
input must be an iterable which can keep the order of its elements, e.g. a tuple or a list. Sets and plain dictionaries cannot do it.Use zip and just construct a dict:
>>> dict(zip(input, list_of_lists))
{'03439': ['PersonA', 7, 8, 9, 10, 10], '03440': ['PersonB', 12, 13, 14, 15, 16]}
input must be an iterable which can keep the order of its elements, e.g. a tuple or a list. A set cannot do it.
dct? The input? The output? BTW,dctis aset. Applying the average to elements of different types has nothing to do with python, but with the concept of comparing apples to starfish