![]() ![]() Forum posts will always be answered before PM requests. These plots still have many interactive tools and features, including linked panning and brushing, and hover inspectors. Post: 1 Quinn h pearson Captain Posts: 3 Joined: Dec 2017 Reputation: 0 Rv100 shows deep depth falsely Got a pair of axiom 9s with an rv100 transducer and a b60 connected via the Y cable. By standalone we mean that these examples make no use of the Bokeh server. Please don't PM me asking for direct support, please ask a public question instead so that others can see the question and answer. All of the examples below are located in the examples subdirectory of your Bokeh checkout. 1 I have an RX100i (28-100) that I always have with me, and an old Panasonic ZS15 (24-360) that I keep in my car and take along on hikes. Interests: Diagnosis of problems in sonar/fishfinders, NMEA2000, ethernet comms, autopilots, thermal cameras Many of the examples print output that can be observed by looking at your browser’s JavaScript console log. Bokeh has interfaces in Python, Scala, Julia, and now R. Bokeh renders plots using HTML canvas and provides many mechanisms for interactivity. 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. The sections below are examples for all widgets available in Bokeh. Bokeh is a visualization library that provides a flexible and powerful declarative framework for creating web-based plots. 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) It can create versatile, data-driven graphics and connect the full power of the entire Python data science stack to create rich, interactive visualizations. poor flow of water or aeration across the transducer face when the boat is displacement/ploughing but not when planing Bokeh is an interactive data visualization library for Python, and other languages, that targets modern web browsers for presentation. To create beautiful bokeh shots, make sure you also illuminate your subject adequately. 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. Have you tried Manual Range, setting the range to something a bit deeper than the expected depth? There are multiple ways to output your visualization 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)?
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