Math

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 …

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NumPy Tutorial – Everything You Need to Know to Get Started

This tutorial gives you a simple introduction to Python’s NumPy library. You don’t need any prerequisites to follow the tutorial. My goal was to give a practical and fun NumPy introduction for absolute beginners and with many examples. By reading through this tutorial, you will gain a basic understanding of the most important NumPy functionality. …

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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 …

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

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

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 …

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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 …

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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 …

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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 …

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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 …

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Symbolic Math with SymPy: Advanced Functions and Plots

This article will cover some advanced mathematical functions provided by the Sympy library. If you still have not read the first introductory article to Sympy, you can check it out here. Since most of the basic functions, like the ones for initiating a Sympy session on your terminal or for defining a function/variable, will not …

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