我有一個帶有多個字形的散景圖和一個 JavaScript 回調(diào)函數(shù)，該函數(shù)根據(jù)鼠標在圖中懸停的位置混合其他字形?，F(xiàn)在，我想根據(jù)鼠標在左側(cè)圖中懸停（或單擊）的位置，在該圖外部的右側(cè)添加帶有附加信息的描述。如何為畫布外的散景圖生成動態(tài)變化的描述文本？我的想法是編寫一個 java 腳本回調(diào)函數(shù)來更改繪圖之外的 div 文本，但我不確定這是否可能或如何實現(xiàn)。使用懸停工具是可能的，但我的描述太長，無法顯示為覆蓋框。這是一些我想動態(tài)更改的 div 示例代碼：from bokeh.models import ColumnDataSource, CustomJS, HoverTool, Div, Spacerfrom bokeh.plotting import figure, output_file, showfrom bokeh.layouts import rowoutput_file("hover_callback.html")# define some points and a little graph between themx = [2, 3, 5, 6, 8, 7]y = [6, 4, 3, 8, 7, 5]links = { 0: [1, 2], 1: [0, 3, 4], 2: [0, 5], 3: [1, 4], 4: [1, 3], 5: [2, 3, 4]}p = figure(plot_width=400, plot_height=400, tools="", toolbar_location=None, title='Hover over points')source = ColumnDataSource({'x0': [], 'y0': [], 'x1': [], 'y1': []})sr = p.segment(x0='x0', y0='y0', x1='x1', y1='y1', color='olive', alpha=0.6, line_width=3, source=source, )cr = p.circle(x, y, color='olive', size=30, alpha=0.4, hover_color='olive', hover_alpha=1.0)# Add a hover tool, that sets the link data for a hovered circlecode = """const links = %sconst data = {'x0': [], 'y0': [], 'x1': [], 'y1': []}const indices = cb_data.index.indicesconsole.log(cb_data.index.indices)for (var i = 0; i < indices.length; i++) { const start = indices[i] for (var j = 0; j < links[start].length; j++) { const end = links[start][j] data['x0'].push(circle.data.x[start]) data['y0'].push(circle.data.y[start]) data['x1'].push(circle.data.x[end]) data['y1'].push(circle.data.y[end]) }}segment.data = data""" % linkscallback = CustomJS(args={'circle': cr.data_source, 'segment': sr.data_source}, code=code)p.add_tools(HoverTool(tooltips=None, callback=callback, renderers=[cr]))div = Div(text="""<br>Here is were I want to display some additional information about the point that is currently hovered over.""",width=200, height=100)show(row(p,Spacer(width=20), div))
2 回答
慕工程0101907
TA貢獻1887條經(jīng)驗 獲得超5個贊
我想到了：
from bokeh.models import ColumnDataSource, CustomJS, HoverTool, Div, Spacer
from bokeh.plotting import figure, output_file, show
from bokeh.layouts import row
output_file("hover_callback.html")
# define some points and a little graph between them
x = [2, 3, 5, 6, 8, 7]
y = [6, 4, 3, 8, 7, 5]
links = {
0: [1, 2],
1: [0, 3, 4],
2: [0, 5],
3: [1, 4],
4: [1, 3],
5: [2, 3, 4]
}
p = figure(plot_width=400, plot_height=400, tools="", toolbar_location=None, title='Hover over points')
source = ColumnDataSource({'x0': [], 'y0': [], 'x1': [], 'y1': []})
sr = p.segment(x0='x0', y0='y0', x1='x1', y1='y1', color='olive', alpha=0.6, line_width=3, source=source, )
cr = p.circle(x, y, color='olive', size=30, alpha=0.4, hover_color='olive', hover_alpha=1.0)
# Add a hover tool, that sets the link data for a hovered circle
code = """
const links = %s
const data = {'x0': [], 'y0': [], 'x1': [], 'y1': []}
const indices = cb_data.index.indices
console.log(cb_data.index.indices)
for (var i = 0; i < indices.length; i++) {
const start = indices[i]
for (var j = 0; j < links[start].length; j++) {
const end = links[start][j]
data['x0'].push(circle.data.x[start])
data['y0'].push(circle.data.y[start])
data['x1'].push(circle.data.x[end])
data['y1'].push(circle.data.y[end])
}
}
segment.data = data
""" % links
callback = CustomJS(args={'circle': cr.data_source, 'segment': sr.data_source}, code=code)
p.add_tools(HoverTool(tooltips=None, callback=callback, renderers=[cr]))
div = Div(text="""<br>
Here is were I want to display some additional information about the point that is currently hovered over.""",
width=200, height=100)
new_code = """
console.log(div_object.text)
const indices = cb_data.index.indices
console.log(indices)
if (indices == undefined || indices.length == 0){{
div_object.text = ""
}}
else {{
div_object.text = " currently point with index <b>" + indices.toString(10) + "</b> is selected. Here follows a very long description... <br> Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec ornare metus at justo semper finibus. Donec malesuada ut nisl ac convallis. Nulla laoreet in metus non dictum. In odio libero, elementum sit amet mi vitae, iaculis tincidunt sem. Quisque eget auctor massa. Nunc pulvinar cursus eros vitae bibendum. Integer vitae pharetra nulla. Integer vitae iaculis ligula. Cras elementum neque magna, posuere semper leo iaculis nec. Curabitur vel neque ut massa efficitur luctus. In at enim sed est pulvinar rhoncus. Aliquam dictum venenatis interdum. Pellentesque accumsan imperdiet varius."
}}
"""
callback = CustomJS(args={'div_object': div}, code=new_code)
p.add_tools(HoverTool(tooltips=None, callback=callback, renderers=[cr]))
show(row(p,Spacer(width=20), div))
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