under__list =[[74, 0.1423287845938018, None, None, 10,
1.9099604642265018, 0.5185563065935468, 1.6825659992347914,
3.547506695574544, 2.7789822726693023, 20051, 0, 25, None, ' >50K'],
[44, 0.9181229773462783, None, None, 14, 0.17973300970873787,
0.1644822006472492, 0.13940129449838187, 1.1252427184466018,
0.4357200647249191, 0, 0, 40, None, ' <=50K']]
I have the above list but I want to add the elements together but skip past the None
and the ">=50"
elements.
I want to be able to do it even if I don't know where None
number values are. Any suggestions?
for item in zip(under__list[row]):
under__list.append(int(sum(item[0])))
Looking for the below output:
[1182, 25.2452245, None, None, 9212, 256, 2624, 25.24,
2532, 25, 2005252, 52, 25632, None, ' >50K']
It would be one list with numbers added together.
It looks like you want to sum the items on the same indices from all inner lists. For that first of all you need to use zip
with *
, and then in the list comprehension check of the first item of each row is an instance of Number
type or simply int
or float
( isinstance(x[0], (int, float))
), if yes, sum them else use the first items as value.
>>> from numbers import Number
>>> [sum(x) if isinstance(x[0], Number) else x[0] for x in zip(*under__list)]
[118, 1.0604517619400802, None, None, 24, 2.0896934739352395, 0.683038507240796, 1.8219672937331732, 4.672749414021146, 3.2147023373942214, 20051, 0, 65, None, ' >50K']
The expression sum(x) if isinstance(x[0], Number) else x[0]
is called a conditional expression .
for item in under_list:
item_ = filter(lambda x: x != None and x >= 50, under_list)
# Here compute sum of item_ and append to the right place
Write a function to return what you need:
def foo(thing):
try:
return sum(thing)
except TypeError:
return thing[0]
map
the function to the zip
ped rows of under__list
>>> under__list =[[74, 0.1423287845938018, None, None, 10, 1.9099604642265018, 0.5185563065935468, 1.6825659992347914, 3.547506695574544, 2.7789822726693023, 20051, 0, 25, None,' >50K'], [44, 0.9181229773462783, None, None, 14, 0.17973300970873787, 0.1644822006472492, 0.13940129449838187, 1.1252427184466018, 0.4357200647249191, 0, 0, 40, None, ' <=50K']]
>>> map(foo, zip(*under__list))
[118, 1.0604517619400802, None, None, 24, 2.0896934739352395, 0.683038507240796, 1.8219672937331732, 4.672749414021146, 3.2147023373942214, 20051, 0, 65, None, ' >50K']
>>>
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