散景，选择交互式多个数据集进行绘图

Question

I am new to using Bokeh.

I have data which roughly looks like that

date    names   numbers
2016    var1 62
2012    var2 82
2014    var1 118
2015    var2 69852
2012    var3 167
2016    var1 2266
2011    var1 88282
2015    var3 6307
...

I use a Bokeh script to plot the data and from a dropdown menu I can select for which names (var1, var2, ...) to to plot the data.

The script is based on this example:https://github.com/bokeh/bokeh/tree/master/examples/app/weather and looks like this

import pandas as pd
from bokeh.io import curdoc
from bokeh.layouts import row, column
from bokeh.models import ColumnDataSource, Select
from bokeh.plotting import figure


def get_dataset(src, name):
    df = src[src.names == name].copy()
    del df['names']
    df = df.set_index(['date'])
    df.sort_index(inplace=True)
    return ColumnDataSource(data=df)


def make_plot(source, title):
    plot = figure(plot_width=800, tools="", toolbar_location=None)
    plot.title.text = title
    plot.line(x='date', y='numbers', source=source, legend="Record")
    return plot


def update_plot(attrname, old, new):
    ver = vselect.value
    plot.title.text = "xxx"
    src = get_dataset(df, ver)
    source.date.update(src.date)


df = pd.read_csv('data/test_data.csv', delimiter='\t')
ver = 'aps'

cc = df['names'].unique()

vselect = Select(value=ver, title='VER', options=sorted((cc)))

source = get_dataset(df, ver)
plot = make_plot(source, "xxx")

vselect.on_change('value', update_plot)
controls = column(vselect)

curdoc().add_root(row(plot, controls))

This works fine, but I would like to allow now to select multiple names (eg var1 and var2) to be selected to plot them in the same plot for easy comparison. However, I have no idea how to go about this.

Answer 1

(Potential) cleanup on aisle 47434701. Looks like Bokeh has a MultiSelect method that might be useful in this situation. I presume it wasn't available at the original time of question.