How to Divide Two Integers in Python 2 and 3?

In this article, you’ll learn about the division operators // and / in Python 2 and 3. You can check out the version in your Python script as shown here. A short visual overview of the division operator in Python 2 and 3: Assuming two integer values stored in variables a and b, there are … Read more

How To Plot SKLearn Confusion Matrix With Labels?

Summary: The best way to plot a Confusion Matrix with labels, is to use the ConfusionMatrixDisplay object from the sklearn.metrics module. Another simple and elegant way is to use the seaborn.heatmap() function. Note: All the solutions provided below have been verified using Python 3.9.0b5. Problem Formulation Imagine the following lists of Actual and Predicted values … Read more

What are the Applications of Graphs in Computer Science?

[Reading time: 9 minutes] Graphs are everywhere. They are used in social networks, the world wide web, biological networks, semantic web, product recommendation engines, mapping services, blockchains, and Bitcoin flow analyses. Furthermore, they’re used to define the flow of computation of software programs, to represent communication networks in distributed systems, and to represent data relationships … Read more

How to Calculate the Weighted Average of a Numpy Array in Python?

Numpy Weighted Average np.average(array, axis=0, weights=[0.1,0.1,0.8])

Problem Formulation: How to calculate the weighted average of the elements in a NumPy array? Definition weighted average: Each array element has an associated weight. The weighted average is the sum of all array elements, properly weighted, divided by the sum of all weights. Here’s the problem exemplified: Quick solution: Before we discuss the solution … Read more

How to Calculate the Average of a NumPy 2D Array?

NumPy is a popular Python library for data science focusing on arrays, vectors, and matrices. This article introduces the np.average() function from the NumPy library. When applied to a 1D array, this function returns the average of the array values. When applied to a 2D array, NumPy simply flattens the array. The result is the … Read more

Python round() — A Simple Guide with Video

Python’s built-in round() function takes two input arguments: a number and an optional precision in decimal digits. It rounds the number to the given precision and returns the result. The return value has the same type as the input number—or integer if the precision argument is omitted. Per default, the precision is set to 0 … Read more

How to Calculate the Standard Deviation in NumPy?

Problem Formulation: How to calculate the standard deviation in NumPy? Differentiations: There are many different variants of this problem: Calculate the standard deviation of a 1D array Calculate the standard deviation of a 2D array Calculate the standard deviation of a 3D array Then you can also calculate the standard deviation along an axis: Calculate … Read more

How to Calculate Percentiles in Python

This article deals with calculating percentiles. Percentiles are statistical indicators that are used to describe specific portions of a sample population. The following sections will explain what percentiles are, what they are used for and how to calculate them, using Python. As you will see, Python allows solving this problem in multiple ways, either by … Read more