![]() ![]() Forum posts will always be answered before PM requests. Youll learn how to visualize your data, customize and organize your visualizations, and add interactivity. Bokeh happens in the areas of an image beyond the depth of focus by playing with focus and lens, photographers can create some stunning images. Please don't PM me asking for direct support, please ask a public question instead so that others can see the question and answer. This Python tutorial will get you up and running with Bokeh, using examples and a real-world dataset. Interests: Diagnosis of problems in sonar/fishfinders, NMEA2000, ethernet comms, autopilots, thermal cameras low supply voltage to the display, starving the sounder ping reservoir and preventing proper sounder power output, which is resolved when you get some surface charge in the batteries. hull section resonating with a harmonic of engine revs (this really happens, and just like a rattle in your car - or at least my car - is engine-rev-range specific) poor flow of water or aeration across the transducer face when the boat is displacement/ploughing but not when planing How sure are you that this is a speed-related problem, working at higher speeds, and not for example related to a change in bottom conditions that perhaps coincides with you leaving a no-wash zone or similar? If you're sure it's speed, not location that's the factor that makes it work, there are three things that spring to my mind: outputnotebook () will render your visualization directly in a Jupyter Notebook. In this tutorial, you’ll see these two options: outputfile ('filename.html') will write the visualization to a static HTML file. You will create your first plots, learn about different data formats Bokeh understands, and make visual customizations for selections and mouse hovering. There are multiple ways to output your visualization in Bokeh. Have you tried Manual Range, setting the range to something a bit deeper than the expected depth? 1 Basic plotting with Bokeh This chapter provides an introduction to basic plotting with Bokeh. Bokeh is a visualization library that provides a flexible and powerful declarative framework for creating web-based plots. Many of the examples print output that can be observed by looking at your browser’s JavaScript console log. It can create versatile, data-driven graphics and connect the full power of the entire Python data science stack to create rich, interactive visualizations. The sections below are examples for all widgets available in Bokeh. In the meantime then, can you describe the sounder image (in traditional/200kHz, let's not worry about 3D for now as it is much more complex)? Bokeh is an interactive data visualization library for Python, and other languages, that targets modern web browsers for presentation.
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