Are you tired with the same old 2D plots? Do you want to take your plots to the next level? Well look no further, it’s time to learn how to make 3D plots in matplotlib. In addition to import matplotlib.pyplot as plt and calling plt.show(), to create a 3D plot in matplotlib, you need to: …
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Do you want to plot numerical data? And do it in a beautiful, engaging, and scientifically sound way? And do all of this in a few simple lines of code? You’re in the right place! A great way to plot numerical data is the matplotlib boxplot. It displays the median, the interquartile range, and outliers …
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You’ve plotted some data in Matplotlib but you don’t know which data shows what? It’s time for a legend! How to add a legend in Python’s Matplotlib library? Label it with the label keyword argument in your plot method. Before plt.show(), call plt.legend() your plot will be displayed with a legend. Here’s the minimal example: …
I’ve always struggled with the plt.imshow() method of Python’s matplotlib library. To help you and I master it, I’ve written the most in-depth resource about it on the web. As a bonus resource, you can play my walkthrough video that takes you through all the code in this article: To show an image in matplotlib, …
Too much stuff happening in a single plot? No problem—use multiple subplots! This in-depth tutorial shows you everything you need to know to get started with Matplotlib’s subplot() function. If you want, just hit “play” and watch the explainer video. I’ll then guide you through the tutorial: To create a matplotlib subplot with any number …
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Too much stuff happening in a single plot? No problem—use multiple subplots! This in-depth tutorial shows you everything you need to know to get started with Matplotlib’s subplots() function. If you want, just hit “play” and watch the explainer video. I’ll then guide you through the tutorial: Let’s start with the short answer on how …
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Have you ever had a string and wanted to make it a certain length by adding zeros to it? You could type it out. But we’re programmers, we hate typing! Surely there must be a way to code this? Simple answer: use the str.zfill() method. It takes one argument: the final length of the string …
The line plot is the most iconic of all the plots. To draw one in matplotlib, use the plt.plot() function. Pass it a list of numbers. It uses them as the y-axis values and the list indexes for the x-axis. Easy. In this article, I’ll show you how to add axis labels, plot multiple lines …
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Scatter plots are a key tool in any Data Analyst’s arsenal. If you want to see the relationship between two variables, you are usually going to make a scatter plot. In this article, you’ll learn the basic and intermediate concepts to create stunning matplotlib scatter plots. Matplotlib Scatter Plot Example Let’s imagine you work in …
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The histogram is one of the most important plots for you to know. You will use it every time you explore a dataset. It is the go-to plot for plotting one variable. In this article, you’ll learn the basics and some intermediate ideas. You’ll plot histograms like a pro in no time using Python and …
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Python comes with several built-in data types. These are the foundational building blocks of the whole language. They have been optimised and perfected over many years. In this comprehensive tutorial, we will explore one of the most important: the dictionary (or dict for short). For your convenience, I’ve created a comprehensive 8000-word eBook which you …
Life is unpredictable. Sometimes good things happen out of the blue like you find $100 on the floor. And sometimes bad things happen, like your flight being canceled because of bad weather. Most programming languages have a module to deal with randomness. Python is no exception coming with the module named random and in this …
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