Example interactive app with bokeh charts and new server refactor

chart_app_new_server.py

from bokeh.models.widgets import HBox, VBoxForm, Select
from bokeh.charts import Bar
from bokeh.io import curdoc

data = {'a': [1, 2, 3, 4],
        'b': [3, 5, 4, 5],
        'c': ['foo', 'bar', 'foo', 'bar']}

col_names = list(data.keys())

# because dimensions and attributes of chart are modeled, this could be auto generated
value_select = Select(
    title='values', name='value_select',
    options=col_names, value='a'
)

label_select = Select(
    title='label', name='label_select',
    options=col_names, value='c'
)

plot = Bar(data, values='a', label='b')

selectors = [value_select, label_select]

inputs = VBoxForm(children=selectors)

hbox = HBox(children=[inputs, plot])

chart_renderers = [renderer for renderer in plot.renderers if
                   hasattr(renderer, 'glyph')]
chart_renderers = {'rect': chart_renderers[0]}


def update_data():

    updated_plot = Bar(data,
                       values=value_select.value,
                       label=label_select.value,
                       renderers=chart_renderers,
                       chart=plot)

def input_change(attrname, old, new):
    update_data()


for selector in selectors:
    selector.on_change('value', input_change)

curdoc().add_root(hbox)

I tried the same code as yours, and I can't get the same results, my bars didn't get refreshed.
I got an AttributeError: unexpected attribute 'chart' to Chart.

This code is very old, and will not work with Bokeh > 0.9

oh,no T T
in the new version, is there any solution to achieve the same thing?

I've got a question when using rect to create interactive bar, My x_axis data is CSV file(locations), and it seems that rect's x data should only be list or array, how could i transform them.