Assignment:
===========
WAP to create the 1D-array and print all individual elements along with its positive and negative index using while loop.

Hint:

array =[1,2,3,4,5]

output:
	element at positive index '0' and at negative index '-5' = 1

====================================================
import numpy

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

print("Printing 2d-arrays:")

for i in a:
    print(i)

print("Printing 1-d arrays:")

for i in a:
    for j in i:
        print(j)

print("Printing array elements:")

for i in a:
    for j in i:
        for k in j:
            print(k,end = "\t")
        print()

nditer():
=========
==> a built-in function
	which can provide an efficient multi-dimensional iterator object of arrays.
Syntax:
	for iterator_object numpy.nditer(array):
		block of code	

# 1-d arrays:
=============
import numpy

a = numpy.array([1,3,5,7,9])

print("Printing of individual elements of an array = ")
for i in numpy.nditer(a):
    print(i,end = "\t")
========================

#2d-arrays:
===========
import numpy

a = [[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]]

print("Printing Array elements = ")

for i in numpy.nditer(a):
    print(i)
======================================
Array Concatenation:
====================
concatenate():
=============
Syntax:
	numpy.concatenate((a1,a2,a3,....),axis = 0/1/2)

axis = 0 ==> joining of elements in 1d-array format
axis = 1 ==> in 2d-array
axis = 2 ==> in 3d-array etc.
import numpy

a = numpy.array([[1,2,3],[4,5,6]]) # 2d-array

b = numpy.array([[7,8,9],[10,11,12]]) # 2d-array

res1 = numpy.concatenate((a,b),axis = 0)
res2 = numpy.concatenate((a,b),axis = 1)
# res3 = numpy.concatenate((a,b),axis = 2) Axis error

print("result1 = ",res1)
print("result2 = ",res2)
# print("result3 = ",res3)

==============================================
Array stacking:
===============
==> to combining multiple arrays along new dimensions, creating higher-dimensional array.
stack():
=======
	Syntax:
		numpy.stack(arrays, axis = 0)

import numpy

a1 = numpy.array([1,2,3])
a2 = numpy.array([4,5,6])
a3 = numpy.array([7,8,9])

result = numpy.stack((a1,a2,a3),axis = 0)
result1 = numpy.stack((a1,a2,a3),axis = 1)
# result2 = numpy.stack((a1,a2,a3),axis = 2)

print("result = ",result)
print("Result = ",result1)
# print("Result = ",result2)


==============================
2d-array
	a = [[1,2,3],[4,5,6],[7,8,9]]
	

axis = 0:
=========
a[0] = [1,2,3]
a[1] = [4,5,6]
a[2] = [7,8,9]

axis = 1:
========

import numpy

a1 = numpy.array([[1,2,3],[4,5,6]])
a2 = numpy.array([[7,8,9],[10,11,12]])

r1 = numpy.stack((a1,a2),axis = 0)
r2 = numpy.stack((a1,a2),axis = 1)
r3 = numpy.stack((a1,a2),axis = 2)

print("r1 = ",r1)
print("r2 = ",r2)
print("r3 = ",r3)
==============================================
Array Splitting:
================
split():
========
Syntax:
	numpy.split(array, indices_or_sections, axis = 0)


import numpy

a = numpy.arange(9).reshape(3,3)

a_split = numpy.split(a,3,axis = 0)

print("Original Array = ",a)
print("Splitting array = ",a_split)