This is the code to recreate my example
import pandas as pd import plotly.express as px def shorten(string): short = string.split() return short df = pd.read_csv('https://raw.githubusercontent.com/allisonhorst/palmerpenguins/main/inst/extdata/penguins_raw.csv', ) df['Species'] = df['Species'].apply(shorten) trait1 = 'Culmen Length (mm)' trait2 = 'Flipper Length (mm)' fig = px.scatter(df, x=trait1, y=trait2, color='Species') trace_contour = px.density_contour(df, x=trait1, y=trait2, color='Species').update_layout(showlegend=False).select_traces() fig.add_traces(list(trace_contour))
I created a figure using
px.scatter() and then I wanted to add some contour traces in my figure.
To do this I selected the traces of a
px.density_contour() plot and I added them to my figure, that now looks like this.
I’d like to only show the legend of the scatter plot and not the legend of the
I tried adding
.update_layout(showlegend=False) to the
px.density_contour() function before selecting the trace but nothing happened.
Do you know how to hide the legend items of the traces added to the original figure?