Python_N-004. 10 basic attributes in array

N-004_10_basic_attribute_in_array.py

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no.	Attribute	Description	example code
1	ndim	The number of dimensions of the array.	import numpy as np arr = np.array(  [ [1, 2, 3], [4, 5, 6] ]  )    print(arr.ndim)  # Output: 2
2	shape	The shape of the array (dimensions).	print(arr.shape)  # Output: (2, 3)
3	size	The total number of elements in the array.	print(arr.size)  # Output: 6
4	dtype	The data type of the array’s elements.	print(arr.dtype)  # Output: int64
5	itemsize	The size (in bytes) of each element in the array.	print(arr.itemsize)  # Output: 8
6	nbytes	The total number of bytes consumed by the elements of the array.	print(arr.nbytes)  # Output: 48
7	T	The transposed array.	print(arr.T)  # Output: array([[1, 4], [2, 5], [3, 6]]) print( transpose(arr) )  # same
8	flat	A flat iterator over the array.	for item in arr.flat:     print(item)  # Output: 1 2 3 4 5 6
9	real	The real part of the array elements (useful for complex numbers).	arr_complex = np.array([1+2j, 3+4j]) print(arr_complex.real)  # Output: [1. 3.]
10	imag	The imaginary part of the array elements (useful for complex numbers)	print(arr_complex.imag)  # Output: [2. 4.]