Access plotly figure relayout data in notebook
Is there a way to access a figure relayout data in jupyter notebook/lab?
What I mean is the following:
import plotly.graph_objects as go
# Define the figure
fig = (go.Figure(
go.Scatter(
x=[0, 1, 2, 3],
y=[-1, 1, -2, 2]
)
)
.update_layout(
modebar_add=['drawrect']
)
)
# Show the figure
fig.show()
# Now do some drawing in the figure here!
# Next cell I would like to access the shapes
I know this is possible using dash callbacks as in here.
Solution 1:
You can do this fairly easily if you're willing to use Plotly Dash in Jupyterlab with JupyterDash and the mode
attribute of app.run_server()
set to 'inline'
.
Below is an image of the resuting notebook with full information of a drawn line in the second cell. The complete setup with your figure is included below, and builds on one of the many examples from Image annotations with Dash
.
If this is something you can use, I'd be happy to explain things in more detail.
Complete code:
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
from dash.dependencies import Input, Output, State, ClientsideFunction
import dash_html_components as html
from jupyter_dash import JupyterDash
import plotly.express as px
import plotly.graph_objects as go
import json
app = JupyterDash(external_stylesheets=[dbc.themes.BOOTSTRAP])
fig = (go.Figure(
go.Scatter(
x=[0, 1, 2, 3],
y=[-1, 1, -2, 2]
)
))
fig.update_layout(dragmode="drawline")
config = {
"modeBarButtonsToAdd": [
"drawline",
"drawopenpath",
"drawclosedpath",
"drawcircle",
"drawrect",
"eraseshape",
]
}
app.layout = html.Div(
[
html.H4(
"Draw a line"
),
dcc.Graph(id="graph1", figure=fig, config=config),
# dcc.Markdown("Characteristics of shapes"),
html.Pre(id="annotations-data-pre"),
]
)
@app.callback(
Output("annotations-data-pre", "children"),
Input("graph1", "relayoutData"),
prevent_initial_call=True,
)
def on_new_annotation(relayout_data):
if "shapes" in relayout_data:
global relayoutdata
relayoutdata = json.dumps(relayout_data["shapes"], indent=2)
return ''
else:
return dash.no_update
app.run_server(mode='inline', port=8002)