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NumPy Basic in Python (Chapter-13) M3-R5
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Dtype:- it return the type of elements in the array. i.e. int 64.

import numpy as np

arr=np.array([[1.5,2.6,3.4]])

print(“data type is= “,arr.dtype)

output

data type is=  float64

 

 itemsize:- it return the length of each element of array in bytes.

import numpy as np

arr=np.array([[1,2,3],[5,6,7]])

print(“data type is= “,arr.itemsize, “bytes”)

output

each item contain= 4 bytes

 

Reshape:- the reshape() function associated with the ndarray object is used to reshape the array. It accept the two parameters indicating the row and columns of the new shape of the array.

import numpy as np

a=np.array([[1,2,3],[5,6,7],[8,9,6],[4,6,8]])

print(“Original Array is “)

print(a)

a=a.reshape(3,4)

print(“reshaped array is “)

print(a)

 

 

 

 

 

 

 

 

 

 

 

 

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