Latest revision as of 02:41, 28 September 2018

Arrays em python só podem ser de apenas um tipo

Operações com Arrays

Básico

#!/usr/bin/python
from array import * 

vals = array('i',[5,9,6,7])
print vals
# array('i', [5, 6, 9, 7])

print vals[0]
# 5

vals.reverse()
print vals
# array('i', [7, 9, 6, 5])

for v in vals:
  print(v,end='')
# 7965

newArray = array(vals.typecode, (v*2 for v in vals))
print(newArray)
# array('i', [14, 18, 12, 10])

Ver também

Artigos sobre Python

@@ Line 25: / Line 25: @@
   print(newArray)
   # array('i', [14, 18, 12, 10])
-== Arrays multi-dimensionais ==
-Para arrays multi-dimensionais usamos o módulo numpy.
- >>> 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
- >>> 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]
- # Vectorized operations
- >>> arr2 = array([3,1,-2,-1,4])
- >>> arr3 = arr + arr2
- >>> print(arr3)
- [10 10 10 10 10]
-==== 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 =