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The import numpy as np 
Arr2=np. Array ([[1, 2, 3, 4], [5,6,7,8]]) 
Print (arr2) 


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Print (' dimensions of array are as follows: 'arr2. Shape) 


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Print (' array type is: ', arr2 dtype) 


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Print (' the number of elements in the array is: 'arr2. Size) 


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Print (' for each element of the array size: 'arr2. Itemsize) 


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Arr2. Shape=4, 2 # reset shape 
Print (arr2) 


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Print (np) arange,1,0.1) (0) # from 0 to 1, the step length is 0.1, the results contain 0 contains no 1 


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Print (np) linspace,1,12) (0) # 0 and 1 is divided into 11 parts of the node number 12, create arithmetic progression, the results contain 0 and 1 


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,2,20 print (np. Logspace (0)) of 0 # generate 10 square 2 to the power of (0) to 10 (100) of 20 elements of geometric sequence, the results contain 0 and 100 


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Print (np) zeros ((2, 3))) 


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Print (np) eye (4, 4)) 


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Print (np) diag ([1, 2, 3, 4])) 


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Print (np) ones ((2, 3))) 


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Print (np. Float64 (42)) 
Print (np. Int8 (42)) 
Print (np) bool (0)) 
Print (np. Float (True)) 


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Df=np dtype ([(" name ", np str_, 40), (" numitems ", np. Int64), (" price ", np. Float64)]) 
Print (df) 
Print (df/" name ") 


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Itemz=np. Array ([(" comedy ", 42,4.14), (" cabbages, "13,1.72)], dtype=df) 
Print (itemz) 


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Print (np) random) random (100)) # generates random number of uniform distribution on 


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Print (np) random) randn (10, 5)) # is generated to make the distribution of the random number 


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Print (np) random) randint (0, 10, size=(2, 4))) # generated random number and a given upper and lower limits set size 

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