Array In numpy:
-Array is collection of element of same type in other programming language like c, c++, but in python array can contains elements of different data type too.
-Array in python or numpy are similar as list in python.
-But using of Numpy Array is efficient way instead of using list.
Conversion of list into Numpy Array:
Syntax-
arr=np.array(list)
program-
#import numpy
import numpy as np
#given integer list
l=[1,2,3,4,5]
print("List is",l)
arr=np.array(l)
print("Array is",arr)
#given character list
l=['a','b','c','d','e']
print("List is",l)
arr=np.array(l)
print("Array is",arr)
#given hetrogeneous list
l=[1,'b',2,'d','e']
print("List is",l)
arr=np.array(l)
print("Array is",arr)
output-
List is [1, 2, 3, 4, 5]
Array is [1 2 3 4 5]
List is ['a', 'b', 'c', 'd', 'e']
Array is ['a' 'b' 'c' 'd' 'e']
List is [1, 'b', 2, 'd', 'e']
Array is ['1' 'b' '2' 'd' 'e']
-In this program, we have a different lists and we convert into the Numpy array.
-Items in list are seperated by (,) while items in array seperated by whitespace as shown in above output.