[英]How to update plot characteristics (hovertool details and x_range) in a bokeh plot multiple times?
I have a bokeh plot that I would like to update the ranges (x_range and y_range) as well as the hovertool details (field names, etc.) when I update the source data in the plot. 我有一个散景图,当我更新图中的源数据时,我想更新范围(x_range和y_range)以及悬停工具详细信息(字段名称等)。 The things I've tried haven't worked yet. 我尝试过的事情还没有奏效。 Any help would be appreciated. 任何帮助,将不胜感激。 Here's an example of what I've tried. 这是我尝试过的例子。
def update_plot(*args):
source = select_data();
# Set ranges (not working)
p.x_range = Range1d(0, source['x'].max())
p.y_range = Range1d(0, source['y'].max())
# How to change hovertool here?
figureTools = [HoverTool()]
p = figure(plot_height=600, plot_width=700, title='', tools=figureTools)
p.circle(x='x', y='y', source=source, line_color=None)
widget = widgets.Dropdown(options=['1', '2', '3'])
widget.observe(update_plot, 'value')
update_plot();
show(p);
You can put show(p) inside update, that works for me. 您可以将show(p)放在update里面,这对我有用。 For example, 例如,
def update_plot(*args):
source = select_data();
# Set ranges (not working)
p.x_range = Range1d(0, source['x'].max())
p.y_range = Range1d(0, source['y'].max())
# How to change hovertool here?
show(p);
figureTools = [HoverTool()]
p = figure(plot_height=600, plot_width=700, title='', tools=figureTools)
p.circle(x='x', y='y', source=source, line_color=None)
widget = widgets.Dropdown(options=['1', '2', '3'])
widget.observe(update_plot, 'value')
update_plot();
show(p);
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