Assignment:
===========
WAP TO CREATE AN 1-D ARRAY AND PRINTS ITS ELMENTS ALONG WITH BOTH POSITIVE AND NEGATIVE INDEX USING WHILE LOOP.

Hint:
=====
a = [1,2,3,4,5]

Output:
	The Element at a positive index '0' and at negative index '-5' = 1

======================================================
nditer():
=========

1d-array:
	for i in a:
		print(i)

2d-array:
	for i in a:
		for j in i:
			print(j)

3d-array:
	for i in a:
		for j in i:
			for k in j:
				print(k)

nditer(): a built-in function
	can used generate an iterative object
		to iterate on individual elements of any dimensional array.
Syntax:
	numpy.nditer(array-name)

import numpy

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

print("Printing Elements of 1d-array:")
for i in numpy.nditer(a):
    print(i)

=========================

import numpy

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

for i in numpy.nditer(a):
    print(i)

==================================
Array Concatenation:
====================
concatenate()
	Syntax:
		numpy.concatenate((a1,a2,a3,...), axis = 0/1/2,...)

2d-array:
	0
	1
ex:
	a = [[1,2,3][4,5,6]]
	b = [[4,5,6][7,8,9]]

	a concate b ==> axis = 0
		[[[1,2,3]][4,5,6],[[4,5,6][7,8,9]]]
	axis=1[[[1,2,3],[4,5,6]],[[4,5,6],[7,8,9]]]
		
3d-array:
	0
	1
	2

import numpy

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

r1 = numpy.concatenate((a1,a2))
r2 = numpy.concatenate((a1,a2),axis = 0)
# r3 = numpy.concatenate((a1,a2),axis = 1)

print("r1 = ",r1)
print("r2 = ",r2)
# print("r3 = ",r3)
========================
import numpy

a1 = numpy.array([[0,2],[4,6],[8,10]])
a2 = numpy.array([[1,3],[5,7],[9,11]])

r1 = numpy.concatenate((a1,a2))
r2 = numpy.concatenate((a1,a2),axis = 0)
r3 = numpy.concatenate((a1,a2),axis = 1)
# r4 = numpy.concatenate((a1,a2),axis = 2)

print("r1 = ",r1)
print("r2 = ",r2)
print("r3 = ",r3)
# print("r4 = ",r4)
===============================================
Array Stacking:
===============
==> combining multiple array into one by making the higher-dimension.
stack():
=======
	Syntax:
		numpy.stack((a1,a2,a3,...),axis = 0/1/2,..)

import numpy

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

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

print("r1 = ",r1)
print("r2 = ",r2)

=======================

import numpy

a1 = numpy.array([[1,2,3,4],[5,6,7,8]])
a2 = numpy.array([[9,10,11,12],[13,14,15,16]])

r1 = numpy.stack((a1,a2))
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():
=======
	[[1,2,3],[4,5,6],[7,8,9]]
	[[1,2],[3,4],[5,6],[7,8],[9,10]]

Syntax:
	numpy.split(array_name, indices, axis)

============================================

import numpy

a = numpy.arange(9).reshape(3,3)
b = numpy.array([[1,2],[3,4],[5,6],[7,8],[9,10]])

print("original Array = ",a)
print("Original Array = ",b)

a_split = numpy.split(a,3)
b_split = numpy.split(b,5)

print("splitted array = ",a_split)
print("splitted array = ",b_split)