我已經(jīng)生成了一個簡單的條形圖。為了使其更具交互性，我在圖表中添加了 Hovertool。from bokeh.io import show, output_notebookfrom bokeh.plotting import figure, output_filefrom bokeh.models.glyphs import HBarfrom bokeh.models import ColumnDataSource, Legend, HoverTooloutput_notebook()# Set x and yfunctions = ['func_1', 'func_2', 'func_3']percentage = [233.14, 312.03, 234.00]# Set data source (color needs to be set precisely with len(category))source = ColumnDataSource(data=dict(functions=functions, percentage=percentage))# Set the x_range to the list of categories abovep = figure(x_range=functions, plot_height=600, plot_width=800, title="The Overall Use of my functions",          x_axis_label='Functions', y_axis_label='Percentage')# Categorical values can also be used as coordinatesp.vbar(x='functions', top='percentage', width=0.9, source=source)p.add_tools(HoverTool(tooltips=[('Percentage', "@percentage")]))show(p)雖然它正確顯示了 y 軸的值，但我想顯示 x 軸的標(biāo)簽（例如，F(xiàn)unc1：9.45）。就像鏈接中顯示的圖片一樣（我還不能發(fā)布圖片）：更新#1 我試圖想出一些東西，這就是我得到的：# Set Hoverpercentage = list(map(lambda i: str(i), percentage))my_hover = list(zip(functions, percentage))p.add_tools(HoverTool(tooltips=my_hover))事實(shí)證明它顯示了每個條中的每個細(xì)節(jié)，如下所示