A small, reproducible example that demonstrates the behaviour described in: https://community.plot.ly/t/multiple-callbacks-executed-by-a-single-input-change/10673

plotly_bug.py

import numpy as np
import pandas as pd
from datetime import datetime as dt
import pytz
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
from plotly import tools


app = dash.Dash('auth', url_base_pathname='/')

CHOICES = [
    {'label': 1, 'value': 'Option 1'},
    {'label': 2, 'value': 'Option 2'}
]

app.layout = html.Div(children=[
    html.Div(
        dcc.DatePickerRange(
            id='my-date-picker-range',
            min_date_allowed=dt(2017, 10, 1),
            max_date_allowed=dt(2018, 8, 1),
            initial_visible_month=dt(2018, 3, 1),
            display_format='YYYY/MM/DD',
            start_date='2018-03-04',
            end_date='2018-03-06'
        ), style={'text-align': 'center'}
    ),

    html.Div(
        dcc.Dropdown(
            id='extruder-choice',
            options=CHOICES,
            value='h74_1_extruder_2_massflow'
        )
    ),
    html.Div(
        dcc.Graph(
            id='time-series-figure',
            config={'modeBarButtonsToRemove': ['sendDataToCloud']}
            ),
        style={
            'height': '1000px',
            }
    ),
])

@app.callback(
    dash.dependencies.Output('time-series-figure', 'figure'),
    [dash.dependencies.Input('my-date-picker-range', 'start_date'),
    dash.dependencies.Input('my-date-picker-range', 'end_date'),
    dash.dependencies.Input('extruder-choice', 'value')]
)
def update_daterange(startdate, enddate, extruder):
    date_range = [startdate, enddate]
    import pdb; pdb.set_trace()
    return refresh(date_range, extruder)

app.config.supress_callback_exceptions = True
app.config.update({
    # remove the default of '/'
    'routes_pathname_prefix': '',

    # remove the default of '/'
    'requests_pathname_prefix': ''
})

x = pd.date_range(start='2018-01-01', end='2018-06-04', freq='H')
y = 8 + 5*np.random.random(len(x))
# import pdb; pdb.set_trace()

def refresh(date_range, extruder):
    startdate, enddate = date_range
    time_series_fig = tools.make_subplots(
        rows=1, cols=1,
        specs=[
            [{}],
        ]
    )
    selection_idx = np.bitwise_and(
        x > dt.strptime(startdate, '%Y-%m-%d'),
        x < dt.strptime(enddate, '%Y-%m-%d')
    )

    x_selection = x[selection_idx]
    y_selection = y[selection_idx]

    trace = go.Scatter(
        x=x_selection,
        y=y_selection,
        marker=dict(
            symbol='x',
            color='black',
            size=3,
        )
    )
    time_series_fig.append_trace(trace, 1, 1)

    return time_series_fig


if __name__ == '__main__':
    app.run_server(debug=True, port=8051)