Plotly with ipywidget not working with colab

[swainsubrat]

I used a script from Plotly documentation on ipython widget with Plotly plots. Colab is showing nothing, there should be an output. And the code is giving the desired result on other jupyter instances.
link: 'https://plotly.com/python/figurewidget-app/'

import datetime
import numpy as np
import pandas as pd

import plotly.graph_objects as go
from ipywidgets import widgets

df = pd.read_csv(
    'https://raw.githubusercontent.com/yankev/testing/master/datasets/nycflights.csv')
df = df.drop(df.columns[[0]], axis=1)

month = widgets.IntSlider(
    value=1.0,
    min=1.0,
    max=12.0,
    step=1.0,
    description='Month:',
    continuous_update=False
)

use_date = widgets.Checkbox(
    description='Date: ',
    value=True,
)

container = widgets.HBox(children=[use_date, month])

textbox = widgets.Dropdown(
    description='Airline:   ',
    value='DL',
    options=df['carrier'].unique().tolist()
)

origin = widgets.Dropdown(
    options=list(df['origin'].unique()),
    value='LGA',
    description='Origin Airport:',
)

trace1 = go.Histogram(x=df['arr_delay'], opacity=0.75, name='Arrival Delays')
trace2 = go.Histogram(x=df['dep_delay'], opacity=0.75, name='Departure Delays')
g = go.FigureWidget(data=[trace1, trace2],
                    layout=go.Layout(
                        title=dict(
                            text='NYC FlightDatabase'
                        ),
                        barmode='overlay'
                    ))`

def validate():
    if origin.value in df['origin'].unique() and textbox.value in df['carrier'].unique():
        return True
    else:
        return False
def response(change):
    if validate():
        if use_date.value:
            filter_list = [i and j and k for i, j, k in
                           zip(df['month'] == month.value, df['carrier'] == textbox.value,
                               df['origin'] == origin.value)]
            temp_df = df[filter_list]

        else:
            filter_list = [i and j for i, j in
                           zip(df['carrier'] == 'DL', df['origin'] == origin.value)]
            temp_df = df[filter_list]
        x1 = temp_df['arr_delay']
        x2 = temp_df['dep_delay']
        with g.batch_update():
            g.data[0].x = x1
            g.data[1].x = x2
            g.layout.barmode = 'overlay'
            g.layout.xaxis.title = 'Delay in Minutes'
            g.layout.yaxis.title = 'Number of Delays'
origin.observe(response, names="value")
textbox.observe(response, names="value")
month.observe(response, names="value")
use_date.observe(response, names="value")`

container2 = widgets.HBox([origin, textbox])
widgets.VBox([container,
              container2,
              g])

[SebaVGit]

Hi everybody :D,
I have the same issue. After the last block that @swainsubrat wrote nothing happens. Any thoughts?
Thanks in advance

[blois]

This should be working now, see googlecolab/colab-cdn-widget-manager#19 for details.