The numpy.zeros() funkcia vráti nové pole daného tvaru a typu s nulami. Syntax:
numpy.zeros(shape, dtype = None, order = 'C')>
parametre:
shape : integer or sequence of integers order : C_contiguous or F_contiguous C-contiguous order in memory(last index varies the fastest) C order means that operating row-rise on the array will be slightly quicker FORTRAN-contiguous order in memory (first index varies the fastest). F order means that column-wise operations will be faster. dtype : [optional, float(byDeafult)] Data type of returned array.>
Návraty:
ndarray of zeros having given shape, order and datatype.>
Kód 1:
Python
# Python Program illustrating> # numpy.zeros method> > import> numpy as geek> > b>=> geek.zeros(>2>, dtype>=> int>)> print>(>'Matrix b :
'>, b)> > a>=> geek.zeros([>2>,>2>], dtype>=> int>)> print>(>'
Matrix a :
'>, a)> > c>=> geek.zeros([>3>,>3>])> print>(>'
Matrix c :
'>, c)> |
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Výkon :
Matrix b : [0 0] Matrix a : [[0 0] [0 0]] Matrix c : [[ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.]]>
Kód 2 : Manipulácia s dátovými typmi
Python
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# Python Program illustrating> # numpy.zeros method> > import> numpy as geek> > # manipulation with data-types> b>=> geek.zeros((>2>,), dtype>=>[(>'x'>,>'float'>), (>'y'>,>'int'>)])> print>(b)> |
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Výkon :
[(0.0, 0) (0.0, 0)]>
Poznámka : nuly, na rozdiel od núl a prázdnych, nenastavujú hodnoty poľa na nulové alebo náhodné hodnoty. Tieto kódy sa tiež nespustia na online IDE. Spustite ich vo svojich systémoch, aby ste preskúmali fungovanie.