Python: Operações com Arrays do módulo Numpy - Revision history

Ebasso: /* Ver também */

2018-09-28T15:35:48Z

Ver também

← Older revision		Revision as of 15:35, 28 September 2018
Line 105:		Line 105:

	[[Category:Python]]		[[Category:Python]]
			[[Category:Numpy]]

Ebasso: /* Copia de arrays */

2018-09-28T02:56:20Z

Copia de arrays

← Older revision		Revision as of 02:56, 28 September 2018
Line 36:		Line 36:
	>>> arr = array([1,3,9,8,2])		>>> arr = array([1,3,9,8,2])
	>>> arr2 = arr		>>> arr2 = arr
			>>> arr3 = arr.view()
	>>> print id(arr)		>>> arr4 = arr.copy()
	~~4532265''248''.~~ ~~# igual pois é um alias~~		>>> arr[1] = 7
	>>> print id(~~arr2~~)
	~~4532265''248'' # igual pois é um alias~~		>>> print(arr)
			[1 7 9 8 2]
			>>> print(arr2)
			[1 7 9 8 2]
			>>> print(arr3)
			[1 7 9 8 2]
			>>> print(arr4)
			[1 3 9 8 2]

			>>> print(id(arr))
			4518341328
			>>> print(id(arr2))
			4518341328
			>>> print(id(arr3))
			4518341008
			>>> print(id(arr4))
			4532265488

	~~>>> arr2 = arr.view()~~
	~~>>> print id(arr2)~~
	~~4532265''488''~~

	== Outros tipos de array ==		== Outros tipos de array ==

Ebasso at 02:49, 28 September 2018

2018-09-28T02:49:27Z

← Older revision		Revision as of 02:49, 28 September 2018
Line 1:		Line 1:

			= Operações com Arrays=

			== Criando um array com o Numpy ==

	>>> from numpy import *		>>> from numpy import *
Line 16:		Line 18:
	float64		float64

	==~~== Vectorized operations ==~~==		== Operações Vetorizadas ==

	>>> arr = array([2,4,7,6,1])		>>> arr = array([2,4,7,6,1])
Line 30:		Line 32:
	[10 10 10 10 10]		[10 10 10 10 10]

			== Copia de arrays ==

			>>> arr = array([1,3,9,8,2])
			>>> arr2 = arr

			>>> print id(arr)
			4532265''248''. # igual pois é um alias
			>>> print id(arr2)
			4532265''248'' # igual pois é um alias

			>>> arr2 = arr.view()
			>>> print id(arr2)
			4532265''488''

	== Outros tipos de array ==		== Outros tipos de array ==

Ebasso: Criou a página com " >>> from numpy import * >>> arr = array([1,2,4,7,5,9]) >>> print(arr) [1 2 4 7 5 9] >>> print(arr.dtype) int64 >>> arr = array([1,2,4,7,5.3]) >>> print(arr) [..."

2018-09-28T02:43:05Z

Criou a página com " >>> from numpy import * >>> arr = array([1,2,4,7,5,9]) >>> print(arr) [1 2 4 7 5 9] >>> print(arr.dtype) int64 >>> arr = array([1,2,4,7,5.3]) >>> print(arr) [..."

New page

>>> from numpy import *

>>> arr = array([1,2,4,7,5,9])
>>> print(arr)
[1 2 4 7 5 9]
>>> print(arr.dtype)
int64

>>> arr = array([1,2,4,7,5.3])
>>> print(arr)
[ 1. 2. 4. 7. 5.3]
>>>print(arr.dtype)
float64

==== Vectorized operations ====

>>> arr = array([2,4,7,6,1])
>>> arr = arr + 5
>>> print(arr)
[ 7 9 12 11 6]

>>> print pow(arr,2)
[ 49 81 144 121 36]
>>> arr2 = array([3,1,-2,-1,4])
>>> arr3 = arr + arr2
>>> print(arr3)
[10 10 10 10 10]

== Outros tipos de array ==

==== arange ====

>>> arr = arange(1,15,2)
>>> print arr
[ 1 3 5 7 9 11 13]

==== zeros ====

>>> arr = zeros(5)
>>> print arr
[ 0. 0. 0. 0. 0.]

==== ones ====

>>> arr = ones(7)
>>> print arr
[ 1. 1. 1. 1. 1. 1. 1.]

>>> arr = ones(7,int)
>>> print arr
[1 1 1 1 1 1 1]

==== logspace ====

>>> arr = logspace(1,15,2)
>>> print arr
[ 1.00000000e+01 1.00000000e+15]

==== linspace ====

Cria partes

>>> arr = linspace(0,2,3)
>>> print arr
[ 0. 1. 2.]

>>> arr = linspace(0,5,4)
>>> print arr
[ 0. 1.66666667 3.33333333 5. ]

= Ver também =

* [[Python| Artigos sobre Python]]

[[Category:Python]]