Array Creation from existing Data:
==================================
1) asarray():
=============
==> built-in function
	which used to convert any python object like: list, tuple, array etc. to NumPy array.
Syntax:
	numpy.asarray(object, dtype)

# WAP TO CREATE AN ARRAY FROM THE LIST OF PYTHON

import numpy

ld = [1,3,5,7,9,11,13,15]

a_list = numpy.asarray(ld)

print("The Array = ",a_list)
print("The Type = ",a_list.dtype)

b_list = numpy.asarray(a_list,dtype = 'c8')

print("The Array = ",b_list)
print("The Type = ",b_list.dtype)

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

# ARRAY CREATION WITH TUPLE OF HETEROGENEOUS ELEMENTS

import numpy

td = eval(input("Enter the tuple with heterogeneous elements:"))

a_tuple = numpy.asarray(td)

print("The Array = ",a_tuple)
print("The Array Type = ",a_tuple.dtype)

==========================================================
2) frombuffer():
===============
==> built-in function
	which can be used to create an array from bytes object or bytes array.
==> bytes object/bytes array ==> the object with values of: 0 to 255
Syntax:
	numpy.frombuffer(buffer, dtype)

# Creation of an array from Bytes Object

import numpy

bobj1 = bytes([1,3,5,7,9])
# bobj2 = bytes('NumPy')
bobj2 = b'NumPy'

print(type(bobj1))
print(type(bobj2))

print("The Given Bytes Object are:")
print(bobj1)
print(bobj2)

# from bytes object, array creation:
a1 = numpy.frombuffer(bobj1,dtype = "S1")

print("The Array1 = ",a1)
print("The Type = ",a1.dtype)

a2 = numpy.frombuffer(bobj2,dtype = 'S1')
print("The Array2 = ",a2)
print("The Type = ",a2.dtype)
===============================================

3) fromiter():
==============
==> built-in function 
	can use to create a one-dimensional array
		from iterable object.

Syntax:
	numpy.fromiter(iterable_object, dtype)

# WAP to create an array from an Iterable Object

import numpy

def my_function(n):#6
    for i in range(n):# 0 to 5
        yield i

# creating the array from iterable object
a = numpy.fromiter(my_function(6),dtype = 'f2')

print("The Array from an iterable object = ",a)
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Creation of array from List data:
=================================

import numpy

ld = eval(input("Enter a list data:"))

# array from list
a_list = numpy.array(ld)

print("The Array from list = ",a_list)

nld = [[1,2,3],[4,5,6],[7,8,9]] # nested list data
b_list = numpy.array(nld)

print("The Array from the nested list = ",b_list)

# if the nested list with heterogeneous elements
nld1 = [[1,True,1.2],[22,False,0.001],[33,True,1.112]]
c_list = numpy.array(nld1)

print("The Array from the given nested list = ",c_list)
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Creation of array from Tuples:
===============================

import numpy

td = (1,2,3,4,5,6,7,8,9,10)
sd = {1,3,5,7,9,1,3,5,7,9,1,2,3,4,5}

# create the array from the tuple

a1 = numpy.array(td)
a2 = numpy.array(sd)

print("The Array from the tuple = ",a1)
print("The Array from the set = ",a2)

==================================================
copy():
======
	built-in function can use to create a new array from another array
Syntax:
	numpy.copy(array_name)

import numpy

source_array = numpy.array([1,10,100,1000,100,10,1])

copy_array = numpy.copy(source_array)

print("The Original Array = ",source_array)
print("The Copied Array = ",copy_array)