Creation of Array from Existing Data:
=====================================
From List:
==========

# WAP TO CREATE THE ARRAY FROM LIST DATA

import numpy

ld1 = [1,2,3,4,5,6,7,8,9,10]

print(type(ld1))

# array from list
a1 = numpy.array(ld1)

print("The Array = ",a1)

ld2 = [[3,2,1],[6,5,4],[9,8,7]]  # Nested list

print(type(ld2))

a2 = numpy.array(ld2)

print("The Array = ",a2)

ld3 = [12,True,1.23,12-23j,'python'] # list with heterogeneous elements

a3 = numpy.array(ld3)

print("The Array = ",a3)

ld4 = [[True, 10, 1.12],[1-2j,12,1.23],['a',112,False]] # nested list with heterogeneous elements

a4 = numpy.array(ld4)

print("The Array = ",a4)

=====================================================
from Tuple:
===========

import numpy

td = (1,11,111,1111,11111,1111,111,11,1)
sd = {1,3,5,7,9,9,7,5,3,1,1,2,3,4,5}
dd = {'a':111,'b':222,'c':333,'d':444,'e':555}

print(type(td))
print(type(sd))
print(type(dd))

# array from the tuple

a1 = numpy.array(td)
a2 = numpy.array(sd)
a3 = numpy.array(dd)

print("The Array = ",a1)
print("The Array = ",a2)
print("The Array = ",a3)

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

asarray():
==========
	use to convert various python objects like: list, tuple, array etc. into array.
Syntax:
	numpy.asarray(object, dtype)

import numpy

ld = [1,11,111,1111,11111,1111,111,11,1]
ld1 = [111,True,1.12,False,12-23j,'python']

a1 = numpy.asarray(ld)
a2 = numpy.asarray(ld1)

print("The Array = ",a1)
print("The Array = ",a2)
print("The Type = ",a2.dtype)
print("The Type = ",a1.dtype)
====================================
frombuffer():
=============
==> a built-in function
	can use to create an array from bytes object or bytes array.
bytes object ==>
	bytes() ==> bytes object
Syntax:
	numpy.frombuffer(buffer_object, dtype)

import numpy

b1 = bytes([1,2,3,4,5]) # bytes object
# b2 = bytes("Python")
b2 = b'Python'

a1 = numpy.frombuffer(b1,dtype = 'S1')
a2 = numpy.frombuffer(b2,dtype = "S1")

print("a1 = ",a1)
print("a2 = ",a2)

==============================================
fromiter():
===========
==> built-in function
	can use to create an array from iterable object.
Syntax:
	numpy.fromiter(iterable-object, dtype)

import numpy

def my_generator(n):
    for i in range(n):
        yield i

a = numpy.fromiter(my_generator(7),dtype = 'i1')

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

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

import numpy

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

a_copy = numpy.copy(a)

print("The Arrays are = ")
print(a)
print(id(a))
print(a_copy)
print(id(a_copy))