Posts tagged interactive

Fix those overlapping labels!

Hello, everyone! Welcome back to Cameron’s Corner! This week, I want to resolve a common frustration I encounter in Matplotlib: overlapping labels.

Ever since Matplotlib 3.4, we have had an easy Axes.bar_label to quickly introduce labels on top of our bars. The example is fairly straightforward and nicely highlights centered labels.

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Star Trader & Matplotlib: A Live-coded Session

Welcome to Cameron’s Corner! This week, I wanted to reflect a on a pop-up seminar I held where I demonstrated some live-coded Matplotlib data visualizations.

In this session, we talked about planning an effective data visualization. My biggest recommendation once you understand the data and have an idea of what you want to convey is to not jump straight into creating visualizations. But instead, plan out your visualization using simple drawing tools—in this case, I chose PowerPoint as it was already installed on my machine. This lets me easily plan and adjust a layout of multiple plots and iterate on my design.

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Bokeh: Interactive plots in static HTML

Welcome back, everyone! Before I get started, I want to let you know about an upcoming FREE seminar: “On the Spot, Live-Coded Data Visualizations,” where I’ll be live-coding data visualizations that YOU pick for me! You won’t want to miss it!

Last week, I shared a primer on Bokeh. This week, I wanted to take things up a notch and share some of the more powerful features Bokeh has beyond its core components. Sure, we can make figures and add Glyphs to them, but we can also make a completely responsive data visualization with just a few lines of JavaScript.

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