使用 MultiSelect 小部件在散景中隐藏和显示线条

2022-01-18 00:00:00 python python-2.7 bokeh widget

问题描述

我正在处理四组数据，每组数据都有多个时间序列.我正在使用散景将它们全部绘制在一起，结果如下所示:

I'm working with four sets of data, each of them have several number of time series. i'm using bokeh for plotting all of them together, the result looks like this:

带小部件的多线图散景

from bokeh.plotting import figure, output_file, show
from bokeh.palettes import RdYlGn4
from bokeh.models import CustomJS, ColumnDataSource, MultiSelect
from bokeh.layouts import row, widgetbox

output_file("graph.html")
p = figure(plot_width=1000, plot_height=400, x_axis_type="datetime", title="title")
cdn = range(4)
for i,comp in enumerate(cdn):
    ts=[t for t in data_plu_price.columns if int(t) in df.T[df.C==comp].values]
    n_lines=len(data[ts].columns) 
    p.multi_line(xs=[data[ts].index.values]*n_lines, ys=[data[t].values for t in ts],line_color=RdYlGn4[i], legend=str(i))
p.title.align = "center"
p.title.text_font_size = "20px"
p.xaxis.axis_label = 'date'
p.yaxis.axis_label = 'val'

callback = CustomJS("""Some Code""")
multi_select = MultiSelect(title="Select:", value=cdn,
                       options=[(str(i), str(i)) for i in range(4)])
layout = row(p,widgetbox(multi_select))
show(layout)

问题是它看起来真的很乱，所以我想使用多选小部件来显示/隐藏所有多行组(4).如何使用带有 multi_line 绘图的多选小部件?

The problem is it looks really messy, so I wanted to use the multiselect widget to show/hide all the groups of multilines(4). how to use the multiselect widget with a multi_line plot?

提前致谢.

解决方案

在这个 PR 的 0.12.1 版本中刚刚添加了对这样做的支持(使用 MultiSelect 小部件隐藏/显示行):https://github.com/bokeh/bokeh/pull/4868

Support for doing exactly that (using a MultiSelect widget to hide/show lines) was just added in version 0.12.1 in this PR: https://github.com/bokeh/bokeh/pull/4868

这里有一个例子(复制如下):https://github.com/bokeh/bokeh/blob/master/examples/plotting/file/line_on_off.py

There's an example here (copied below): https://github.com/bokeh/bokeh/blob/master/examples/plotting/file/line_on_off.py

""" Example demonstrating turning lines on and off - with JS only

"""

import numpy as np

from bokeh.io import output_file, show
from bokeh.layouts import row
from bokeh.palettes import Viridis3
from bokeh.plotting import figure
from bokeh.models import CheckboxGroup, CustomJS

output_file("line_on_off.html", title="line_on_off.py example")

code = """
    if (0 in checkbox.active) {
        l0.visible = true
    } else {
        l0.visible = false
    }
    if (1 in checkbox.active) {
        l1.visible = true
    } else {
        l1.visible = false
    }
    if (2 in checkbox.active) {
        l2.visible = true
    } else {
        l2.visible = false
    }
"""

p = figure()
props = dict(line_width=4, line_alpha=0.7)
x = np.linspace(0, 4 * np.pi, 100)
l0 = p.line(x, np.sin(x), color=Viridis3[0], legend="Line 0", **props)
l1 = p.line(x, 4 * np.cos(x), color=Viridis3[1], legend="Line 1", **props)
l2 = p.line(x, np.tan(x), color=Viridis3[2], legend="Line 2", **props)

callback = CustomJS(code=code, args={})
checkbox = CheckboxGroup(labels=["Line 0", "Line 1", "Line 2"], active=[0, 1, 2], callback=callback, width=100)
callback.args = dict(l0=l0, l1=l1, l2=l2, checkbox=checkbox)

layout = row(checkbox, p)
show(layout)

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