numpy.sum() i Python
numpy.sum(arr, akse, dtype, ut): Denne funksjonen returnerer summen av matriseelementer over den angitte aksen.
Parametere:
arr: input array.
akse: akse som vi ønsker å beregne sumverdien langs. Ellers vil den vurdere arr å være flatet (fungerer på hele aksen). akse = 0 betyr langs kolonnen og akse = 1 betyr arbeid langs raden.
ut: Ulike array som vi ønsker å plassere resultatet i. Matrisen må ha samme dimensjoner som forventet utgang. Standard er Ingen.
initial: [skalar, valgfritt] Startverdien av summen.
Komme tilbake : Summen av matriseelementene (en skalarverdi hvis aksen er ingen) eller matrise med sumverdier langs den angitte aksen.
Kode #1:
Python3
# Python Program illustrating> # numpy.sum() method> import> numpy as np> > # 1D array> arr> => [> 20> ,> 2> , .> 2> ,> 10> ,> 4> ]> > print> ('
Sum of arr : ', np.> sum> (arr))> > print> ('> Sum> of arr(uint8) : ', np.> sum> (arr, dtype> => np.uint8))> print> ('> Sum> of arr(float32) : ', np.> sum> (arr, dtype> => np.float32))> > print> ('
Is np.> sum> (arr).dtype> => => np.uint : ',> > np.> sum> (arr).dtype> => => np.uint)> print> ('Is np.> sum> (arr).dtype> => => np.> float> : ',> > np.> sum> (arr).dtype> => => np.> float> )> |
Produksjon:
Sum of arr : 36.2 Sum of arr(uint8) : 36 Sum of arr(float32) : 36.2 Is np.sum(arr).dtype == np.uint : False Is np.sum(arr).dtype == np.float : True
Kode #2:
Python3
# Python Program illustrating> # numpy.sum() method> import> numpy as np> > # 2D array> arr> => [[> 14> ,> 17> ,> 12> ,> 33> ,> 44> ],> > [> 15> ,> 6> ,> 27> ,> 8> ,> 19> ],> > [> 23> ,> 2> ,> 54> ,> 1> ,> 4> ,]]> > print> ('
Sum of arr : ', np.> sum> (arr))> > print> ('> Sum> of arr(uint8) : ', np.> sum> (arr, dtype> => np.uint8))> print> ('> Sum> of arr(float32) : ', np.> sum> (arr, dtype> => np.float32))> > print> ('
Is np.> sum> (arr).dtype> => => np.uint : ',> > np.> sum> (arr).dtype> => => np.uint)> print> ('Is np.> sum> (arr).dtype> => => np.> float> : ',> > np.> sum> (arr).dtype> => => np.> float> )> |
Produksjon:
Sum of arr : 279 Sum of arr(uint8) : 23 Sum of arr(float32) : 279.0 Is np.sum(arr).dtype == np.uint : False Is np.sum(arr).dtype == np.float : False
Kode #3:
Python3
# Python Program illustrating> # numpy.sum() method> > import> numpy as np> > # 2D array> arr> => [[> 14> ,> 17> ,> 12> ,> 33> ,> 44> ],> > [> 15> ,> 6> ,> 27> ,> 8> ,> 19> ],> > [> 23> ,> 2> ,> 54> ,> 1> ,> 4> ,]]> > print> ('
Sum of arr : ', np.> sum> (arr))> print> ('> Sum> of arr(axis> => 0> ) : ', np.> sum> (arr, axis> => 0> ))> print> ('> Sum> of arr(axis> => 1> ) : ', np.> sum> (arr, axis> => 1> ))> print> ('
Sum of arr (keepdimension> is> True> ):
',> > np.> sum> (arr, axis> => 1> , keepdims> => True> ))> |
Produksjon:
Sum of arr : 279 Sum of arr(axis = 0) : [52 25 93 42 67] Sum of arr(axis = 1) : [120 75 84] Sum of arr (keepdimension is True): [[120] [ 75] [ 84]]
