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What would be equivalent to this list comprehension?


What would be equivalent to this list comprehension?

By : AVLife
Date : October 18 2020, 01:08 AM
it fixes the issue The list comprehension: , As you can see, step by step
code :
def doThing(input_number,generated_number):
  return [x for x in generated_number if x > input_number]

print(doThing(10,[100,10,20,40]))

def doSameThing(input_number,generated_number):
  res = []
  for x in generated_number:
    if x > 10:
      res.append(x)

  return res

print(doSameThing(10,[100,10,20,40]))


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Nested list comprehension equivalent

Nested list comprehension equivalent


By : Pseudelia
Date : March 29 2020, 07:55 AM
wish help you to fix your issue I have to say this isn't really that Pythonic considering readability.
code :
>>> l = ['1\t2,3\t4,5', '61\t7,8\t9,0']
>>> [[i[0]]+[e.split(',') for e in i[1:]] for i in [x.split() for x in l]]
[['1', ['2', '3'], ['4', '5']], ['61', ['7', '8'], ['9', '0']]]
Numpy equivalent of if/else list comprehension

Numpy equivalent of if/else list comprehension


By : Ramesh Kumar
Date : March 29 2020, 07:55 AM
like below fixes the issue Is there a numpy way of doing , Can't test now, but try
code :
np.where(n > 0, n - t, n)
Map equivalent for list comprehension

Map equivalent for list comprehension


By : hunderson
Date : March 29 2020, 07:55 AM
wish helps you You are looking for itertools.starmap():
code :
from itertools import starmap

starmap(foo, ((item['fieldA'], item['fieldB']) for item in barlist))
from itertools import starmap
from operator import itemgetter

starmap(foo, map(itemgetter('fieldA', 'fieldB'), barlist))
Equivalent of List Comprehension Using Map and Filter

Equivalent of List Comprehension Using Map and Filter


By : Flo
Date : March 29 2020, 07:55 AM
hope this fix your issue Since both filter and map work over individual items in a sequence, you would have to view your logic from the perspective of each item in the list, rather than a combination of items, and that means you need to rephrase the expressions used in your list comprehension as functions of individual items. Instead of the filter condition x + y == tgt, therefore, it is beneficial to view it as x == tgt - y, where y also has to be an item in the num list, so that your list comprehension can be rewritten as:
code :
[num.index(x) for x in num if x in {tgt - y for y in num}]
list(map(num.index, filter(set(map(tgt.__sub__, num)).__contains__, num)))
[0, 1, 2, 4, 6, 7]
equivalent list comprehension in tensorflow

equivalent list comprehension in tensorflow


By : Everson Ferreira da
Date : March 29 2020, 07:55 AM
around this issue How can I modify a tensor of rank 1 containing N int to a tensor of rank 2 containing N vector of size M with a dictionary , If the dict you have is something like
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