Operation numpy array

Operation numpy array

An array multiplication

>>> import numpy as np
>>> arr=np.array([[1,2,3],[4,5,6]])
>>> arr
array([[1, 2, 3],
       [4, 5, 6]])
>>> arr*arr
array([[ 1,  4,  9],
       [16, 25, 36]])

Subtraction array

>>> arr-arr
array([[0, 0, 0],
       [0, 0, 0]])

Scalar array

Array of scalar operations are propagated to each element of the array

>>> import numpy as np
>>> arr=np.array([[1,2,3],[4,5,6]])
>>> arr
array([[1, 2, 3],
       [4, 5, 6]])
>>> 1/arr
array([[1.        , 0.5       , 0.33333333],
       [0.25      , 0.2       , 0.16666667]])
>>> arr**2
array([[ 1,  4,  9],
       [16, 25, 36]], dtype=int32)

Array Comparisons

Comparison between the array of boolean values ​​will generate the same array size:

>>> import numpy as np
>>> arr1=np.array([[1,2,3],[4,5,6]])
>>> arr2=np.array([1,1,1],[1,1,1])
>>> arr2=np.array([[1,1,1],[1,1,1]])
>>> arr2>arr1
array([[False, False, False],
       [False, False, False]])

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Origin www.cnblogs.com/mengxiaoleng/p/11616368.html