dashGraph

import datetime

import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
from collections import deque
import plotly
import random
from dash.dependencies import Input, Output


X = deque(maxlen=20)
X.append(1)
R = deque(maxlen=20)
R.append(1)
Y = deque(maxlen=20)
Q = deque(maxlen=20)
Y.append(1)
Q.append(1)
app = dash.Dash(__name__)

app.layout = html.Div(
    html.Div([
        html.H4('temprature test here'),
        dcc.Graph(id='live-update-graph'),
        html.H4('temp-pressure test'),
        dcc.Graph(id='temp-update-graph'),
        dcc.Interval(
            id='interval-component',
            interval=2*1000, # in milliseconds
            n_intervals=0
        )
    ])
)


@app.callback([Output('temp-update-graph', 'figure'),
               Output('live-update-graph', 'figure')],
              [Input('interval-component', 'n_intervals')])
def update_graph_live(n):
    R.append(R[-1]+1)
    Q.append(Q[-1]+Q[-1]*random.uniform(-0.1, 0.1))

    X.append(X[-1] + 1)
    Y.append(Y[-1] + Y[-1]*random.uniform(-0.1, 0.1))

    data1 = plotly.graph_objs.Scatter(
        x=list(X),
        y=list(Y),
        name='Scatter',
        mode='lines+markers'
    )
    rdata1 = {'data': [data1], 'layout': go.Layout(xaxis=dict(range=[min(X), max(X)]),
                                                   yaxis=dict(range=[min(Y), max(Y)]),)}
    data2 = plotly.graph_objs.Scatter(
            r=list(R),
            q=list(Q),
            name='Scatter',
            mode= 'lines+markers'
            )
    rdata2 = {'data': [data2], 'layout': go.Layout(xaxis=dict(range=[min(R), max(R)]),
                                                   yaxis=dict(range=[min(Q), max(Q)]),)}
    return rdata2, rdata1


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