Python Numpy multi dimensional array

We can create powerful multidimensional arrays in numpy. We can arrage the elements in number of rows and columns.

Let us try some attributes to know details of the array. These attributes we will apply to different types of arrays ( dimension ).

`base`	Base object, if memory is from other object
`dtype`	type of data. Integer, float, Python object, etc
`data`	buffer object showing start of the data
`flags`	Details about Memory Layout
`itemsize`	Size in bytes
`ndim`	Number of dimensions or axis
`nbytes`	Total bytes used by all the elements
`shape`	rows and columns ,tuple , length indicates numbrer of axes, product of elements is same as size
`size`	Total number of elements
`strides`	Returns a tuple with bytes consumed by each dimension

Single dimensional array

import numpy as my_np 
my_array = my_np.array([0,1,2]) 
print(my_array)

Output

[0 1 2]

Let us try above attributes to know details of the array.

import numpy as my_np 

my_array = my_np.array([ 0,  1,  2])

print(my_array.base)        # None  
print(my_array.dtype)       # int32
print(my_array.data)        # <memory at 0x0000021772F6F108>
print(my_array.flags)       #  	  C_CONTIGUOUS : True
                            #     F_CONTIGUOUS : False
                            #     OWNDATA : True
                            #     WRITEABLE : True
                            #     ALIGNED : True
                            #     WRITEBACKIFCOPY : False
                            #     UPDATEIFCOPY : False 
print(my_array.itemsize)    # 4
print(my_array.ndim)        # 1 
print(my_array.nbytes)      # 12 
print(my_array.shape)       # (3,) 
print(my_array.size)        # 3 
print(my_array.strides)     # (4,)

Two dimensional array

import numpy as my_np 
my_array = my_np.array([[0,  1,  2],[3,  4,  5],[6,  7,  8]])
print(my_array[1][2]) # output is 5

import numpy as my_np 

my_array = my_np.array([[0,  1,  2],[3,  4,  5],[6,  7,  8]])

print(my_array.base)        # None  
print(my_array.dtype)       # int32
print(my_array.data)        # <memory at 0x0000021772EC28B8>
print(my_array.flags)       #  C_CONTIGUOUS : True
                            #     F_CONTIGUOUS : True
                            #     OWNDATA : True
                            #     WRITEABLE : True
                            #     ALIGNED : True
                            #     WRITEBACKIFCOPY : False
                            #     UPDATEIFCOPY : False 
print(my_array.itemsize)    # 4
print(my_array.ndim)        # 2 
print(my_array.nbytes)      # 36 
print(my_array.shape)       # (3,3) 
print(my_array.size)        # 9 
print(my_array.strides)     # (12,4)

Three Dimensional array

import numpy as my_np 
#x=complex(98,97)
my_array = my_np.array([[[ 0,  1,  2],[ 3,  4,  5],[ 6,  7,  8]],
                        [[ 9, 10, 11],[12, 13, 14],[15, 16, 17]],
                        [[18, 19, 20],[21, 22, 23],[24, 25, 26]]])
print(my_array[2][2][1]) # 25

Let us try above attributes to know details of the array.

import numpy as my_np 
my_array = my_np.array([[[ 0,  1,  2],[ 3,  4,  5],[ 6,  7,  8]],
                        [[ 9, 10, 11],[12, 13, 14],[15, 16, 17]],
                        [[18, 19, 20],[21, 22, 23],[24, 25, 26]]])
print(my_array.base)        # None  
print(my_array.dtype)       # int32
print(my_array.data)        # <memory at 0x00000217728F4E58>
print(my_array.flags)       #  C_CONTIGUOUS : True
                            #     F_CONTIGUOUS : False
                            #     OWNDATA : True
                            #     WRITEABLE : True
                            #     ALIGNED : True
                            #     WRITEBACKIFCOPY : False
                            #     UPDATEIFCOPY : False 
print(my_array.itemsize)    # 4
print(my_array.ndim)        # 3 
print(my_array.nbytes)      # 108 
print(my_array.shape)       # (3,3,3) 
print(my_array.size)        # 27 
print(my_array.strides)     # (36,12,4)

Adding dimension while creating array

import numpy as np
npr = np.array([ 0,  1,  2],ndmin=3) # adding dimension to array
print(npr)  # [[[0 1 2]]] # print array 
print(npr.ndim) # 3 ( display dimension of the array )

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	26-02-2024
Very well written, visuals have really helped. Great job, thanks!

Numpy n dimensional Arrays ( ndarray )

Single dimensional array

Two dimensional array

Three Dimensional array

Adding dimension while creating array

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