Includes as described in Request handler hooks.Ī app_hooks.py file that lets you trigger optional callbacks at different Process HTTP requests and return a dictionary of items that the session token import mymod andĪ request_handler.py file that lets you declare an optional function to Imports relative to the package, such as from. Some of the files and subdirectories above are optional.Īn _init_.py file that marks this directory as a package. However, to run the app on a Bokeh server, use the following command: Run bokeh json myapp.py to get a JSON-serialized version of the app. You specify output options after processing your data. The code above doesn’t specify any output or connection method. on_event ( 'button_click', callback ) # put the button and plot in a layout and add to the document curdoc (). data = new_data i = i + 1 # add a button widget and configure with the call back button = Button ( label = "Press Me" ) button. data in one step with a new dict new_data = dict () new_data = ds. data_source # create a callback that adds a number in a random location def callback (): global i # BEST PRACTICE - update. text ( x =, y =, text =, text_color =, text_font_size = "26px", text_baseline = "middle", text_align = "center" ) i = 0 ds = r. grid_line_color = None # add a text renderer to the plot (no data yet) r = p. For more involvedĭesigns, use methods provided in Web pages along with your ownĬustom HTML templates.# myapp.py from random import random from bokeh.layouts import column from bokeh.models import Button from bokeh.palettes import RdYlBu3 from otting import figure, curdoc # create a plot and style its properties p = figure ( x_range = ( 0, 100 ), y_range = ( 0, 100 ), toolbar_location = None ) p. Results, both in terms of performance and visual appearance. Complicated layouts with many different sizing modes may yield undesirable Sacrifices some capability to make common use cases and scenarios simple toĮxpress. The Bokeh layout system is not an all-purpose layout engine. , height = 80, sizing_mode = "stretch_width" ) # entire layout fills all space available to it layout = column ( heading, row ( widgets, plot ), sizing_mode = "stretch_both" ) Limitations # , sizing_mode = "fixed", height = 250, width = 150 ) # heading fills available width heading = Div (. , sizing_mode = "stretch_both" ) # fixed sized for the entire column widgets = column (. , sizing_mode = "scale_width" ) # slider fills all space available to it amp = Slider (. # plot scales to original aspect ratio based on available width plot = figure (. The example below lets you select a sizing mode from a dropdown and see howĪ single plot responds to different modes. Of their children that do not have their own explicit sizing mode. Width depends on the component type and may fit its contents or beĬomponent resizes to fill available width and height but does not maintainĬomponent resizes to fill available width and maintains either original orĬomponent resizes to fill available height and maintains either original orĬomponent resizes to fill available width and height and maintains eitherĭepending on the mode, you may also have to specify width and/or height.įor example, you have to specify a fixed height when using the stretch_widthĬomponents such as row() and column() elements share their sizing mode with all Height depends on the component type and may fit its contents or beĬomponent resizes to fill available height but does not maintain any aspect "stretch_width"Ĭomponent resizes to fill available width but does not maintain any aspect Use the following sizing modes to configure how Bokeh objects behave in a layout: "fixed"Ĭomponent retains its width and height regardless of browser window size. Sliders = column ( amp, freq, phase, offset ) layout (,, , ])įor complete code see examples/basic/layouts/dashboard.py.
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