Hi @friendlypanda,
I see,
This lines below maybe a hack of modified code, but I hope this is help you solve your issues.
I try to create traces using Plotly express, I add 2 additional columns of dataframe, so the df have 5 columns ['test1','test2','test3','test4','test5'].
df = pd.DataFrame({'test1': [1, 2, 3, 4], 'test2':[4, 5, 4, 7], 'test3':['a','b','c', 'd'],'test4':['E','F','G', 'H'],'test5':['W','X','Y', 'Z']})
The dropdown menu options will be [‘test3’,‘test4’,‘test5’], so the color will be using this 3 columns.
fig1 = px.scatter(df,x='test1', y="test2", color='test3', width=600, height=400, hover_data=['test1','test2'])
fig2 = px.scatter(df,x='test1', y="test2", color='test4', width=600, height=400, hover_data=['test1','test2'])
fig3 = px.scatter(df,x='test1', y="test2", color='test5', width=600, height=400, hover_data=['test1','test2'])
Creating traces by using Plotly Express will keep the discreate color feature on the traces, so the it will show the categorical color instead continuous colorbar. ( And actually you can use Plotly graph objects as well but you need create all traces manually)
Get all traces from all plotly express figures by using fig1.data, fig2.data,fig3.data into new Figure objects fig.
# Get the Sactter traces and add into new Figure object `fig`
fig = go.Figure()
fig.add_traces(fig1.data) # fig1.data is tuple of traces
fig.add_traces(fig2.data)
fig.add_traces(fig3.data)
For initial view set the visible traces just for test3
fig.for_each_trace(
lambda trace: trace.update(visible=False) if trace.name not in df.test3.unique().tolist() else ()
)
To update legend by selected dropdown options, you need to add this line to args attribute.
{"legend": {"title": {"text": col}}} # Update the legend of discrete color
Finally set test3 as initial legend title
fig.update_layout(
title="Test data",
legend_title_text="text3", # initial color legend
..
And here is the complete code.
import plotly.graph_objects as go
import plotly.express as px
import pandas as pd
df = pd.DataFrame({'test1': [1, 2, 3, 4], 'test2':[4, 5, 4, 7], 'test3':['a','b','c', 'd'],'test4':['E','F','G', 'H'],'test5':['W','X','Y', 'Z']})
## Create 3 figures with different color based on 3 column.
fig1 = px.scatter(df,x='test1', y="test2", color='test3', width=600, height=400, hover_data=['test1','test2'])
fig2 = px.scatter(df,x='test1', y="test2", color='test4', width=600, height=400, hover_data=['test1','test2'])
fig3 = px.scatter(df,x='test1', y="test2", color='test5', width=600, height=400, hover_data=['test1','test2'])
# Get the Sactter traces and add into new Figure object `fig`
print(fig1.data)
fig = go.Figure()
fig.add_traces(fig1.data) # fig1.data is tuple of traces
fig.add_traces(fig2.data)
fig.add_traces(fig3.data)
# For initial view set the visible traces just for `test3`
fig.for_each_trace(
lambda trace: trace.update(visible=False) if trace.name not in df.test3.unique().tolist() else ()
)
buttonlist = []
## This lines are modified version using method update
for col in ["test3","test4","test5"]:
buttonlist.append(
dict(
# the idea is to show the trace of selected dropdown and hide the other traces.
args=[{"visible": [col=='test3']*len(df.test3.unique()) \
+ [col=='test4']*len(df.test4.unique()) \
+ [col=='test5']*len(df.test5.unique())
},
{"legend": {"title": {"text": col}}} # Update the legend of discrete color
],
label=str(col),
method='update'
)
)
fig.update_layout(
title="Test data",
legend_title_text="text3", # initial color legend
updatemenus=[
go.layout.Updatemenu(
buttons=buttonlist,
direction="down",
pad={"r": 5, "t": 5},
showactive=False,
x=0.1,
xanchor="left",
y=1.1,
yanchor="top"
),
],
autosize=True
)
fig.show()
