I'm trying to set my Dash app to automatically pull the latest data from a .csv file used in the data frame with dcc.Interval
. The error code isn't providing a detailed explanation and also doesn't always appear. I've tried this with both a button and a set 6 sec interval, but the result seems to be the same. The Dash app runs fine at first and refreshes fine a few times, then error starts occurring:
Callback error updating graph.figure
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
app = dash.Dash(__name__)
server = app.server
df = pd.read_csv('example.csv', encoding="WINDOWS-1252")
app.layout = html.Div([
dcc.Graph(id='graph'),
dcc.Interval(
id='interval-component',
interval=1*6000,
n_intervals=0
)
])
@app.callback(
Output('graph','figure'),
[Input('interval-component', 'n_intervals')]
)
def update_df(n):
updated_df = pd.read_csv('example.csv', encoding="WINDOWS-1252")
fig = px.scatter(updated_df, x='Date', y='Deviation', height=800)
fig.update_layout(
yaxis_tickformat = '.0%',
)
fig.update_xaxes(
rangeslider_visible=True,
rangeselector=dict(
)
)
return fig
if __name__ == '__main__':
app.run_server(debug=True)
I think your issue must have something to do with your file specifically, because the following code based exactly off as you provide (with the exception of generation of random matching-df timeseries data), works perfectly updating with an interval of every 6 seconds:
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
import numpy as np
np.random.seed(2019)
def get_random_deviation_ts_df(N=100):
rng = pd.date_range("2019-01-01", freq="D", periods=N)
df = pd.DataFrame(np.random.rand(N, 1), columns=["Deviation"], index=rng)
df["Date"] = df.index
return df
app = dash.Dash(__name__)
server = app.server
# df = pd.read_csv('example.csv', encoding="WINDOWS-1252")
app.layout = html.Div(
[
dcc.Graph(id="graph"),
dcc.Interval(
id="interval-component", interval=1 * 6000, n_intervals=0
),
]
)
@app.callback(
Output("graph", "figure"), [Input("interval-component", "n_intervals")]
)
def update_df(n):
updated_df = (
get_random_deviation_ts_df()
) # pd.read_csv('example.csv', encoding="WINDOWS-1252")
fig = px.scatter(updated_df, x="Date", y="Deviation", height=800)
fig.update_layout(yaxis_tickformat=".0%",)
fig.update_xaxes(rangeslider_visible=True, rangeselector=dict())
return fig
if __name__ == "__main__":
app.run_server(debug=True)
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