dcbark01

@app.callback(Output('datatable-subplots', 'figure'),
              [Input('my-datatable', 'rows'),
               Input('my-datatable', 'selected_row_indices')])
def update_figure(rows, selected_row_indices):
    dff = pd.DataFrame(rows)
    fig = plotly.tools.make_subplots(
        rows=3, cols=1,
        subplot_titles=('Beef', 'Pork', 'Poultry'),
        shared_xaxes=True)
    marker = {'color': ['#0074D9']*len(dff)}

dcbark01

# Create our app layout
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div([
    html.H2('My Dash App'),
    dt.DataTable(
        id='my-datatable',
        rows=df_ag.to_dict('records'),
        editable=False,
        row_selectable=True,

dcbark01

# Import Supporting Libraries
import pandas as pd

# Import Dash Visualization Libraries
import dash_core_components as dcc
import dash_html_components as html
import dash_table_experiments as dt
import dash.dependencies
from dash.dependencies import Input, Output, State
import plotly