Reputation: 40
I am using dash plotly in python. I am plotting real-time data which is being logged into an SQLite database, currently, I am plotting a single value vs timeline graph. I am planning to add 20 more graphs to this but currently, as time increases the plot gets slower I think it's due to the replotting of the entire plot again. so could anyone please let me know if there an efficient way to do this? I am new to dash-plotly so any help would be a great help to me.
Thank you.
import random
import dash
import plotly
import plotly.graph_objs as go
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Output, Input
X = list()
X.append(0)
Y = list()
Y.append(0)
app = dash.Dash(__name__, suppress_callback_exceptions=True,)
app.layout = html.Div([html.Div([
dcc.Graph(id='live-graph'),
dcc.Interval(
id='graph-update',
interval=0.05 * 1000
),
])
])
latest_sno = 0
@app.callback(Output('live-graph', 'figure'),
[Input('graph-update', 'n_intervals')])
def update_graph_scatter(input_data):
X.append(X[-1]+1)
Y.append(0+random.randint(-2,2))
data = plotly.graph_objs.Scatter(
x=X,
y=Y,
name='lines',
mode='lines'
)
if (len(X)) > 1000:
x_l = max(X) - 1000
else:
x_l = 0
return {'data': [data], 'layout': go.Layout(title="BMS_01_CellVolt_AVG01",
xaxis=dict(range=[x_l, max(X) + 1]),
yaxis=dict(range=[min(Y) - 0.15, max(Y) + 1]),
yaxis_title="Voltage in (V)",
xaxis_title="TIME",
)}
if __name__ == '__main__':
app.run_server(debug=True,port = 5050)
Upvotes: 5
Views: 2953
Reputation: 40
ok After struggling for so many days I found a solution for my question. you can achieve it using extendable graphs follow this link to find the sample code
https://community.plotly.com/t/extend-or-append-data-instead-of-update/8898/25
Upvotes: 1