![]() One mistake I make all the time when combining Bokeh and Flask is forgetting to match the Bokeh library version installed in the system with the one that is imported in the HTML files. Just make sure to match the version of Bokeh installed with the version requested in the HTML near the bottom of the page. PolyEdit: The PolyEdit stream adds a bokeh tool to the source plot, which allows drawing, dragging and deleting vertices on polygons and paths.("price", #escaping the īootstrap takes care of many of the visual aspects of the page. PolyDraw: The PolyDraw stream adds a bokeh tool to the source plot, which allows drawing, dragging and deleting polygons and paths. PointDraw: The PointDraw stream adds a bokeh tool to the source plot, which allows drawing, dragging and deleting points.īo圎dit: The Bo圎dit stream adds a bokeh tool to the source plot, which allows drawing, dragging and deleting boxes.įreehandDraw: The FreehandDraw stream adds a bokeh tool to the source plot, which allows freehand drawing on the plot canvas These tools allow drawing and annotating a plot and accessing the annotation back in Python. Note: In the notebook stretching and scaling the height does not increase the size of a cell.Īs a simple example let us declare a plot that has a fixed height but stretches to fit all available horizontal space:Īnother commonly useful set of tools are the drawing tools which are integrated with the linked streams introduced in the Custom Interactivity guide. Stretch_height: If a width but neither a height or aspect are defined the plot will stretch to fill all available vertical space. Stretch_width: If a height but neither a width or aspect are defined the plot will stretch to fill all available horizontal space. Stretch_both: If neither a width, height or aspect are defined the plot will stretch to fill all available space. Scaling ensures that the aspect ratio of the plot is maintained. Scale_both: If neither a width or a height are defined but a fixed aspect is defined both axes will be scaled up to the maximum size of the container. This leaves four different responsive modes: when width and height or width and aspect are set the plot is set to a fixed size, ignoring any responsive option. Specifically responsive mode will only work if at least one dimension of the plot is left undefined, e.g. If enabled, the behavior of responsive modes depends on whether an aspect or width/height option is set. Since bokeh plots are rendered within a browser window which can be resized dynamically it supports responsive sizing modes allowing the plot to rescale when the window it is placed in is changed. Here’s an example of HoloViews Elements using a Bokeh backend, with bokeh’s style options: Not also that most of these options support vectorized style mapping as described in the Style Mapping user guide. For example let us convert a HoloViews Image to a bokeh Figure, which will let us access and modify every aspect of the plot: If at any time you need access to the underlying Bokeh representation of an object you can use the hv.render function to convert it. When HoloViews outputs bokeh plots it creates and manipulates bokeh models in the background. The general principles behind customizing plots and styling the visual elements of a plot are covered in the Style Mapping and Customizing Plots user guides. This user guide will cover various interactive features that bokeh provides which is not covered by the more general user guides, including interactive tools, linked axes and brushing and more. By combining the ease of generating interactive, high-dimensional visualizations with the interactive widgets and fast rendering provided by Bokeh, HoloViews becomes even more powerful. Bokeh provides a powerful platform to generate interactive plots using HTML5 canvas and WebGL, and is ideally suited towards interactive exploration of data. ![]() One of the major design principles of HoloViews is that the declaration of data is completely independent from the plotting implementation.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |