Display a FigureWidget and then create a new window to display it in so that you can scroll through your code but still keep an eye on what you're doing.
View Live Updates¶
With the output view it is easy to take full advantage of FigureWidgets new imperative-style graph updates since you can see your code and your graph at the same time.
What About Dash?¶
Learn about how to install Dash at https://dash.plot.ly/installation.
Everywhere in this page that you see
fig.show(), you can display the same figure in a Dash application by passing it to the
figure argument of the
Graph component from the built-in
dash_core_components package like this:
import plotly.graph_objects as go # or plotly.express as px fig = go.Figure() # or any Plotly Express function e.g. px.bar(...) # fig.add_trace( ... ) # fig.update_layout( ... ) import dash import dash_core_components as dcc import dash_html_components as html app = dash.Dash() app.layout = html.Div([ dcc.Graph(figure=fig) ]) app.run_server(debug=True, use_reloader=False) # Turn off reloader if inside Jupyter