Closed chwahnHTW closed 3 months ago
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Hey, I am running a dash app in a Docker container , the following are related installed dash libraries :
dash-1.11.0 dash-core-components-1.9.1 dash-daq-0.5.0 dash-html-components-1.0.3 dash-renderer-1.4.0 dash-table-4.6.2
I have used Plotly Express to plot a choropleth map of corona cases. When I execute my code in GoogleColab ( Google's version of JupyteNotebook ) I get the map displayed with the proper color scheme set with "color_continuous_scale = px.colors.sequential.Peach" :
fig = px.choropleth(frameForHeatmap, locations="Country", locationmode = "country names", color="Cases", color_continuous_scale = px.colors.sequential.Peach, hover_name="Country")
fig.update_layout( title_text = 'Spread of Coronavirus - Confirmed Cases', title_x = 0.5, geo=dict(showframe = True))
Trying out different schemes ( Peach, Viriglis, custom list ) properly works in GoogleColab :
color_continuous_scale = px.colors.sequential.Viridis
:When trying to execute the exact same code on the dash server in the Docker container, a map is displayed, but
color_continuous_scale = px.colors.sequential.Peach
does not have any effect on the color scheme:When changing to
color_continuous_scale = px.colors.sequential.Viridis
on the Dash server, the color scheme isn't affected.In Dash, I'm creating the graph like this :
html.Div(dcc.Graph(id ="heatmap" , figure=createHeatmap()))
wherecreateHeatmap()
returns the figure created with the code mentioned earlier.I've been stuck witht his for hours, trying different approaches and failig with all of them. I'm very new to Dash, any help is highly appreciated.