I have the following code to generate a figure in plotly
import plotly.graph_objects as go
import numpy as np
import plotly.express as px
# ref: https://plotly.com/python/sliders/
if __name__ == '__main__':
df = px.data.iris()
df = df.iloc[0:10, :]
# print(df)
petal_width = [1.3, 1.4, 1.4]
# Create figure
fig = go.Figure()
custom_legend = {'square':'A', 'circle-open': 'B', 'cirlce':'C'}
# Add traces, one for each slider step
data = [
go.Scatter(
mode="lines+markers",
x=df['sepal_width'],
y=df['sepal_length'],
marker=dict(size=7, color="red", symbol='circle-open'),
),
go.Scatter(
mode="lines+markers",
x=df['sepal_width'],
y=df['sepal_length']+2,
marker=dict(size=7, color="black", symbol='circle'),
),
go.Scatter(
mode="lines+markers",
x=df['sepal_width'],
y=df['sepal_length'] + 3,
marker=dict(size=7, color="blue", symbol='square'),
)
]
slider_range = min(petal_width), max(petal_width)
low, high = slider_range
# slides = []
# for i in range(3):
# slide = dict(
# method="update",
# args=[{"visible": [False] * len(fig.data)},
# {"title": "Slider switched to step: " + str(i)}], # layout attribute
# )
# slide["args"][0]["visible"][i] = True # Toggle i'th trace to "visible"
# slides.append(slide)
#
# sliders = [
# dict(
# active=10,
# currentvalue={"prefix": "Frequency: "},
# pad={"t": 50},
# steps=slides
# )
# ]
fig = go.Figure(data=data)
# fig.update_layout(
# sliders=slider
# )
# fig.show()
with open("check.html", 'a') as f:
f.write(fig.to_html(full_html=False, include_plotlyjs='cdn'))
I want to create a secondary legend (like shown here Add custom legend (markers color) to plotly python, but I am not able to understand how to adapt this for my use case) for the marker symbols, the legend entries are in custom_legend. Suggestions on how to do this will be really helpful.
