CODEWITHSUNDEEP
pythonpython-2.7widgetbokeh
Pablo
Pablo

Reputation: 3514

using MultiSelect widget to hide and show lines in bokeh

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:

multiline graph bokeh with widget 

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)

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?

Thanks in advance.

Upvotes: 2

Views: 4534

Answers (1)

Luke Canavan
Luke Canavan

Reputation: 2137

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

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)

Upvotes: 2

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