Initialize matrix in python

Initialize matrix Python

A Matrix is a data structure, which is two-dimensional or more and stocks the numbers in a row and column format, much like a table. An in-built type for matrices is not available in Python but matrices can be created by making a list of lists and treating it as a matrix.

This tutorial demonstrates the different methods available to us to initialize matrix in Python.

A List is one of the four built-in data types that Python provides for storing data and can be utilized to stock several items in a single variable. Lists are ordered and changeable. Moreover, a List always has a definite count. A list of lists can be used and treated as a matrix in Python. Lists will more or less have some sort of role in almost all the methods that are available to initialize matrix in Python.

Using the for loop to initialize matrix in Python.

The simpler way to initialize matrix in Python is by using the for loop, which is basic, easy, and is something that most people in the programming world have an idea about, which makes it easy to understand and implement for most programmers in real life.

The new matrix would contain several lists that are created and are further assigned to rows or columns as per the size specified by the programmer.

The following code uses the for loop to initialize a two-dimensional matrix in Python.

The above code provides the following output:

Explanation
  • Two variables are declared, whose values are taken as an input for row size and column size respectively from the user.
  • Two one-dimensional lists x and y are declared, both as empty lists.
  • Then, we use for loop and initialize the column first.
  • Then, the rows are initialized in the same way, and the columns are appended to rows.
  • Finally, the created array is displayed using the print statement and it is two-dimensional in size.

Using list comprehension to initialize matrix in Python.

List comprehension is a faster, shorter, and graceful way to generate lists that are to be created on the basis of the given values of a list that already exists in the Python code.

When it comes to this operation, list comprehension can be utilized as it requires minimal effort if you have the correct understanding of this methodology. As the name suggests, the function is totally based on the creation of lists.

List comprehension is a shorthand for this problem that is faster than the vintage and time-consuming for loop and assists the programmers in the field of dynamic programming with its rapid timings.

The following code uses list comprehension to initialize a two- dimensional matrix in Python.

The above code provides the following output:

Explanation
  • The rows and columns are declared by the variables Y and X respectively.
  • List comprehension is utilized to initialize a two-dimensional matrix.
  • The resultant matrix is then displayed on the output screen.

Using list comprehension along with the * operator to initialize matrix in Python.

By simply using a * operator along with list comprehension, the time taken for the program can be reduced slightly. We can use the * operator wither once or twice along with list comprehension to initialize matrix in Python.

  • The following code uses list comprehension along with the * operator once to initialize a two-dimensional matrix in Python.

The above code provides the following output:

  • The following code uses list comprehension along with the * operator twice to initialize a two-dimensional matrix in Python.

The above code provides the following output:

Both these codes have the same explanation as that of the list comprehension code without any * operator. The only difference is that the use of * operator slightly reduces the time taken in the compilation of the code.

Using NumPy to initialize matrix in Python.

NumPy is an abbreviation for Numerical Python, which is a library that is mainly utilized and focused on dealing with matrices and arrays in Python.

The numpy.array() method is mainly utilized to create and delete arrays in Python. It directly takes a list or a list of lists as an argument and returns a matrix. Here, we can also use the np.zeros() function which initializes all elements of a given matrix to zero.

To successfully implement this method, we will first need to import the NumPy module to the Python code.

The following code uses the NumPy module to initialize a two-dimensional matrix in Python.

The above code provides the following output:

That’s all about how to initialize matrix in Python.


import_contacts

You may also like:

Related Posts

  • Python copy file to another directory
    17 January

    How to copy file to another directory in Python

    Table of ContentsWays to copy file to another directoy in PythonUsing file handlingUsing the shutil libraryUsing the pathlib libraryUsing the os moduleUsing the subprocess moduleConclusion In this article, we will see different ways to copy file to another directory in Python. We can read and write files in Python. We can also work with paths […]

  • Check if variable is String in Python
    13 January

    Check if variable is String in python

    Table of ContentsHow to check if a given variable is of the string type in Python?Using the isinstance() function.Using the type() function.Check if function parameter is String In this post, we will see what is a string in Python and how to check whether a given variable is a string or not. There are many […]

  • Count the number of characters in a String in Python
    13 January

    Count number of characters in a string in python

    Table of ContentsWays to count the number of characters in a string in PythonUsing the len() functionUsing the for loopUsing the collections.Counter classConclusion In this post, we will see how to count number of characters in a String in Python. We can think of strings as a collection of characters, with every character at a […]

  • Pandas apply function to column
    12 January

    Pandas apply function to column

    Table of ContentsHow do I apply function to column in pandas?Using dataframe.apply() functionUsing lambda function along with the apply() functionUsing dataframe.transform() functionUsing map() functionUsing NumPy.square() function We make use of the Pandas dataframe to store data in an organized and tabular manner. Sometimes there, is a need to apply a function over a specific column […]

  • Copy file Python
    12 January

    How to Copy File in Python?

    Table of ContentsCopy file using the shutil module in PythonCopy file using the copyfileobj() function in PythonCopy file using the copyfile() function in PythonCopy file using the copy() function in PythonCopy file using the copy2() function in PythonCopy file using the operating system command in PythonCopy file using the os module in PythonCopy file using […]

  • What is percent in python
    11 January

    What is % in Python?

    Table of ContentsWhat is % Operator in Python?The % Operator with strings in pythonThe % Operator as a placeholder for variables  in pythonThe % Operator as format specifiers in pythonConclusion In this article, we will cover what is % in Python and what are different ways to use % in Python. In python, there are […]

Leave a Reply

Your email address will not be published. Required fields are marked *

Subscribe to our newletter

Get quality tutorials to your inbox. Subscribe now.