The area of a rectangle in Python is length * width. That’s the whole calculation, and here it is as a program you can run: What people usually need on top of that is the version that asks the user for the numbers, and one that survives being given nonsense. Both are below. Each program … Read more >>
ax.set_xticks() decides where the ticks sit on a Matplotlib x-axis. You pass positions in data coordinates, and optionally the labels to go with them: Positions first. That’s the detail behind most of the trouble people have with it, because setting labels without positions is a different and less reliable thing. Figures and output below are … Read more >>
TensorFlow is one of the leading frameworks in artificial intelligence, powering many cutting-edge machine learning solutions worldwide. With the release of TensorFlow 3.x, Google takes another significant step toward more robust, flexible, and scalable ML development. For data scientists, developers, and AI enthusiasts, TensorFlow 3.x brings highly anticipated innovations and enhancements. This post walks you … Read more >>
On a Matplotlib log scale the minor ticks between the powers of ten often vanish. The fix is a LogLocator with a subs argument: That subs list is what places a tick at 2, 3, 4 and so on inside every decade. Without it you get one tick per power of ten and nothing between. … Read more >>
As a developer, I’ve worked extensively with Matplotlib for data visualization. One of the most common yet useful ways to enhance your plots is by using dashed lines. In this article, I’ll walk you through everything you need to know about creating and customizing dashed lines in Matplotlib. I’ll share practical tips and different methods … Read more >>
To remove tick labels in Matplotlib but keep the tick marks, use ax.tick_params(labelbottom=False, labelleft=False). To remove the ticks and their labels together, use ax.set_xticks([]) and ax.set_yticks([]) (or plt.xticks([]) with pyplot), and to hide everything including the frame, use ax.axis(“off”). This guide compares all of these on real plots, then shows how to remove tick labels … Read more >>
While working on a project for my clients, I’ve found that data visualization is essential for communicating insights effectively. Bar charts, in particular, are a go-to choice for comparing categories. But one thing I always make sure to include is value labels on bars. They make charts instantly clearer and more professional, especially when presenting … Read more >>
To change the title font size in Matplotlib, pass fontsize to the title function: plt.title(“My title”, fontsize=20), or ax.set_title(“My title”, fontsize=20) when you work with axes. The size can be a number of points or a name like “large”. This guide covers the title font size for single plots and subplots, bold titles, the figure … Read more >>
To add an x-axis label in Matplotlib, call plt.xlabel(“Label”), or ax.set_xlabel(“Label”) when you work with an Axes object (for example after plt.subplots()). Both accept text styling such as fontsize, color and fontweight, plus labelpad and loc for its position. This guide covers the matplotlib x-axis label from the basics to changing tick labels, showing every … Read more >>
tick_params() changes how ticks, tick labels and gridlines look in Matplotlib: their direction, length, width, colour, label size, rotation and which sides of the plot show them. Call it on an axes, ax.tick_params(…), or use plt.tick_params(…) for the current axes. It changes existing and future ticks, so you do not need to recreate them. This … Read more >>