The diagonals are nothing but crosswise elements of a matrix. A square matrix has two diagonals. One is the Primary diagonal - located from the top left corner to the bottom right corner of a square matrix. And the second one is the Secondary diagonal - located from the top right to the bottom left corner. Interchange the diagonals is nothing but changing the primary and secondary diagonal elements of a matrix. See the below scenarios to understand it briefly Input Output Scenarios Assume we have a square matrix. And output matrix will be the resultant matrix ... Read More

A matrix is a two-dimensional array of many numbers arranged in rows and columns form. Python does not have any data type to represent a matrix, but we can use a nested list or NumPy array as a matrix. See the below input output scenarios to understand how to interchange the first and last column elements of a matrix. Input Output Scenarios Assume we have a 3X3 matrix represented using a list of lists. And output matrix will be the resultant matrix whose first and last column elements are interchanged. Input matrix: [1, 3, 4] [4, 5, 6] [7, ... Read More

A matrix is a set of numbers arranged in rows and columns format. In python, a matrix can not be created directly. Instead, we can use a nested list or NumPy array as a matrix. The interchanging of first and last row elements of a matrix is demonstrated below. Input Output Scenarios Assume we have a 3X3 matrix represented using a nested list. and output matrix will be the resultant matrix whose first and last row elements are interchanged. Input matrix: [1, 2, 3] [4, 5, 6] [7, 8, 9] Output matrix: [7, 8, 9] [4, 5, ... Read More

The constants and variables are used to store data values in programming. A variable generally refers to a value that can change over time. Whereas, a constant is a type of variable whose value cannot be changed during a program’s execution. There are only six built-in constants available in Python which are False, True, None, Not Implemented, Ellipsis( ...), and __debug__. Other than these constants, python does not have any built-in data type to store the constant values. Example A sample example of a constant is demonstrated below − False = 100 Output SyntaxError: cannot assign to False ... Read More

In this tutorial, we will learn how to display notnull rows and columns in a Python dataframe with the help of some libraries. We will be using the Pandas library in this tutorial. A dataframe is a data structure in pandas similar to an Excel sheet or a SQL table. It is a two-dimensional labeled data structure that can hold multiple columns of potentially different types of data such as integer, float, string, etc. Pandas provides a powerful data structure, "dataframe" and other useful methods to work on huge data. Approach 1 One way to display the non-null rows and ... Read More

In this tutorial, we will learn how to display the most frequent value in a Pandas series with the help of Python. We will be using the Pandas library in this tutorial. A series is a data structure in pandas that is similar to a column in an Excel sheet or a SQL table. It is a one-dimensional labeled data structure that can hold different data types such as integer, float, string, etc. The most frequent value is the one that appears most often in the series. In mathematical terms, it is the mode of the data. Approach 1 One ... Read More

In this tutorial, we will learn to delete only one row in csv with python. We will be using the Pandas library. Pandas is an open-source library for data analysis; it is one of the most popular python libraries to investigate the data and insights. It includes several functionalities to perform operations on data sets. It can be combined with other libraries like NumPy to perform specific functions with the data. We will use the drop() method to delete the row from any csv file. In this tutorial, we will illustrate three examples to delete the row from the csv ... Read More

In data analysis and visualization, there are many types of plots that are used to convey information in a concise and meaningful manner. One of the popular types of plots is the Violin plot, which is useful for visualizing the distribution of a numeric variable for different categories or groups. The Violin plot is similar to a box plot, but it provides more information about the distribution of the data by displaying a density plot on top of the box plot. In this tutorial, we will learn how to create a Violin plot with data points in Seaborn using our ... Read More

In this tutorial, we will learn how to delete only empty folders in Python. As you delete files or uninstall programs, empty folders might build up over time, but they can be challenging to locate and manually eliminate. Fortunately, Python offers a quick and effective way to delete empty directories automatically. Now, we'll be discussing how to delete empty folders in Python. Approach We can use the built-in os module to identify and delete empty folders using Python. Here's the basic workflow of how we can achieve this − We can use os.walk() to traverse the file system ... Read More

Machine Learning ML is the investigation of PC calculations that learn without being unequivocally modified by people. They accomplish this by ingesting and preparing information, which assists them with recognizing examples and patterns. ML is generally pertinent in healthcare, marketing, medical services, logistics, human resources, energy, protection, e-commerce, manufacturing, art & creativity, finance, transportation, automobile, government & surveillance, insurance, and digital media and entertainment. Huge corporate goliaths like Apple, Google, Microsoft, IBM, and to a greater extent, use ML. In addition to the tech monsters, however little and mid-sized new companies likewise depend on ML. Most tech organizations use AI ... Read More