I have a figure with some glyphs, but only want tooltips to display for certain glyphs. Is there currently a way to accomplish this in Bokeh?
Alternatively, is there a way to plot two figures on top of each other? It seems like that would let me accomplish what I want to do.
Thanks to this page in Google Groups I figured out how this can be done. Link here
Edit 2015-10-20: looks like the google group link doesn't work anymore unfortunately. It was a message from Sarah Bird @bokehplot.
Edit 2017-01-18: Currently this would add multiple hover tool icons to the tool bar. This may cause problems. There is already an issue filed at github here. Alternatively, try @tterry's solution in the answer below.
Essentially you need to (bokeh version 0.9.2):
hover in your tools when you create the figureExample:
import bokeh.models as bkm import bokeh.plotting as bkp source = bkm.ColumnDataSource(data=your_frame) p = bkp.figure(tools='add the tools you want here, but no hover!') g1 = bkm.Cross(x='col1', y='col2') g1_r = p.add_glyph(source_or_glyph=source, glyph=g1) g1_hover = bkm.HoverTool(renderers=[g1_r], tooltips=[('x', '@col1'), ('y', '@col2')]) p.add_tools(g1_hover) # now repeat the above for the next sets of glyphs you want to add. # for those you don't want tooltips to show when hovering over, just don't # add hover tool for them! Also if you need to add legend to each of the glyphs you are adding, try using bokeh.plotting_helpers._update_legend() method. github source Eg:
_update_legend(plot=p, legend_name='data1', glyph_renderer=g1_r) Will Zhang's answer will work, but you would end up with multiple hover tools. If this is undesirable, you can add renderers to an existing hover tool:
from bokeh import plotting from bokeh.models import HoverTool, PanTool, ResetTool, WheelZoomTool hover_tool = HoverTool(tooltips=[('col', '@x'),('row', '@y')]) # instantiate HoverTool without its renderers tools = [hover_tool, WheelZoomTool(), PanTool(), ResetTool()] # collect the tools in a list: you can still update hover_tool plot = plotting.figure(tools=tools) plot.line(x_range, y_range) # we don't want to put tooltips on the line because they can behave a little strange scatter = plot.scatter(x_range, y_range) # we assign this renderer to a name... hover_tool.renderers.append(scatter) # ...so we can add it to hover_tool's renderers. So the differences here:
plotting interface and this will still work. Hover is not currently supported for image type glyphs and line glyphs. So, using one of these glyphs in combination with glyphs that support hover tool tip, might be a work around.
See: http://bokeh.pydata.org/en/latest/docs/user_guide/objects.html#hovertool
You need to name your glyph with the name= attribute on the glyph that you are interested in having the hover tool active for and then set that name in the hover tool's names= attribute. (Note the name= attribute of the fig.line glyph in the example below.
hover = HoverTool( mode='vline', line_policy='nearest', names=['ytd_ave'], tooltips=[ ("Week Number", "@WeekNumber"), ("OH for the Week", "@OverHead{0.00}%"), ("OH Average", "@AveOverHead{0.00}%"), ("Non-Controllable Hours", "@NonControllableHours{0.0}"), ("Controllable Hours", "@ControllableHours{0.0}"), ("Total Hours", "@TotalHours{0.0}"), ] ) fig = Figure(title='Weekly Overhead', plot_width=950, plot_height=400, x_minor_ticks=2, tools=['pan', 'box_zoom', 'wheel_zoom', 'save', 'reset', hover]) ch = fig.vbar('WeekNumber', top='ControllableHours', name='Over Head', color='LightCoral', source=sources, width=.5) nch = fig.vbar('WeekNumber', bottom='ControllableHours', top='TotalOHHours', name='Non-Controllable Over Head', color='LightGray', source=sources, width=.5) bh = fig.vbar('WeekNumber', bottom='TotalOHHours', top='TotalHours', name='Project Hours', color='LightGreen', source=sources, width=.5) ave = fig.line('WeekNumber', 'AveOverHead', source=sources, color='red', y_range_name='Percent_OH', name='ytd_ave')