ufunc array () function - General Functions

table of Contents

1. The four operations

(1) adding an element corresponding to an adder ---

(2) subtracting the corresponding elements of the subtraction ---

(3) multiplied by the corresponding elements of the multiplication ---

(4) dividing the corresponding element of division ---  

(5) exponentiation 

2. Compare operation

3. logical operation

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1. The four operations

Math power

Creating an array

import numpy as np
arr1=np.arange(4).reshape(2,2)
print('arr1:',arr1)
arr2=np.array([[1,2],[1,2]])
print('arr2:',arr2)

(1) adding an element corresponding to an adder ---

arr_new=arr1+arr2
print('arr_new:',arr_new)

(2) subtracting the corresponding elements of the subtraction ---

arr_new=arr1-arr2
print('arr_new:',arr_new)

(3) multiplied by the corresponding elements of the multiplication ---

arr_new=arr1*arr2
print('arr_new:',arr_new)

(4) dividing the corresponding element of division ---  

Note that the denominator can not be 0

arr_new=arr1/arr2
print('arr_new:',arr_new)

(5) exponentiation 

arr_new=arr1**arr2
print('arr_new:',arr_new)

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2. Compare operation

>=  <=  >  <  ==   !=

print('arr1>=arr2:',arr1>=arr2)
print('arr1<=arr2:',arr1<=arr2)
print('arr1>arr2:',arr1>arr2)
print('arr1<arr2:',arr1<arr2)
print('arr1==arr2:',arr1==arr2)
print('arr1!=arr2:',arr1!=arr2)

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3. logical operation

or any equivalent of each position for comparison, the same as long as it is a True

all equivalent and each memory location than the right, must be all the same, it is True

print(np.any(arr1==arr2))
print(np.all(arr1==arr2))