Array From numpy

Array is not supported in Python out of the box. List can be used as an Array using NumPy library.

Array store multiple values in a single variable.

Array elements can be accessed using index number.

Example:

array1 = [“HTML”, “CSS”, “Java”];

Array elements can be access using index, it always starts from 0.

e.g. →

Define an Array with four elements HTML, CSS, JavaScript and Java as show below:

arrayOne = [“HTML”, “CSS”, “JavaScript”, “Java”];

arrayOne[0] → HTML,
arrayOne[1] → CSS,
arrayOne[3] → Java

Print Array element

We can use for loop to print an Array.

languages = ["HTML", "CSS", "Java", "Javascript"];for language in languages:
    print(language)     
OUTPUT:
      HTML
      CSS
      Java
      Javascript

Example: Below example is all about access, update and delete list items.

arrayOne = ["HTML", "CSS", "JavaScript", "Java"];

# Access an element at 0th index
print(arrayOne[0]);

# Updating an element at particular index in Array
arrayOne[1] = "CSS3";

# Print Array items
print(arrayOne);

# Add element in an Array
arrayOne.append("C++");
print(arrayOne);

# this will return the length of an Array
print(len(arrayOne));

#Remove an Array item at index 2
arrayOne.remove("C++");
print(arrayOne);

#Return index of give element
print(arrayOne.index("Java"));

#remove last inserted value
print("Remove Element: ", arrayOne.pop());

# Print Array items again
print(arrayOne);

OUTPUT:
     HTML
     ['HTML', 'CSS3', 'JavaScript', 'Java']
     ['HTML', 'CSS3', 'JavaScript', 'Java', 'C++']
     5
     ['HTML', 'CSS3', 'JavaScript', 'Java']
     3
     Remove Element:  Java
     ['HTML', 'CSS3', 'JavaScript']

There are some other Array functions supported by NumPy Python library as given below: