![]() ![]() text ( "x", "y", text = "text", source = source, alpha = 0. The active tool is indicated on the toolbar by a highlight next to the tool. For the first three comprise the category of gesture tools, and only one tool for each gesture can be active at any given time. circle ( "x", "y", radius = "radius", source = source, fill_color = "colors", fill_alpha = 0.6, line_color = None ) p. hovertooltips from bokeh.models import ColumnDataSource from otting import figure, show source ColumnDataSource ( data dict ( x 1, 2, 3, 4, 5, y 2, 5, 8, 2, 7, desc 'A', 'b', 'C', 'd', 'E', )) TOOLTIPS ( 'index', 'index' ), ( '(x,y)', '(x, y)' ), ( 'desc', 'desc' ), p figure ( width. There are five types of tool interactions: Pan/Drag. ![]() normal ( size = N ), text =, )) p = figure ( title = "Hoverful Scatter", tools = TOOLS, tooltips = TOOLTIPS ) r = p. array (, dtype = "uint8" ), foo = list ( itertools. The hover tool displays tooltips associated with individual glyphs. You can specify tools by passing the tools parameter. reshape (( 2, N )) source = ColumnDataSource ( data = dict ( x = x, y = y, radius = np. At the lowest bokeh.models level, you can add tools to a Plot by passing instances of Tool objects to the addtools () method: plot Plot() plot.addtools(LassoSelectTool()) plot.addtools(WheelZoomTool()) This way of adding tools works with any Bokeh Plot or Plot subclass, such as Figure. Import itertools import numpy as np from bokeh.models import ColumnDataSource from otting import figure, show TOOLS = "crosshair,pan,wheel_zoom,box_zoom,reset,hover,save" TOOLTIPS = :colors" ), ( "foo", ), ( "bar", ), ] N = 26 * 26 x, y = np. The labels and values are supplied as a list of (label, value) tuples. ![]() The hover tool, by default, generates a tabular tooltip where each row contains a label and its associated value. Import numpy as np from bokeh.io import output_file, show from bokeh.models import ColumnDataSource, HoverTool from otting import figure from import AAPL output_file ( "tools_hover_tooltip_formatting.html" ) def datetime ( x ): return np. The hover tool displays tooltips associated with individual glyphs. The hover tool is a passive inspector tool.
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