I'm trying to added some data at my chart legends but i don't know how. I did search at plotly docs at https://plotly.com/python/legend/ but none of those examples available bring this feature. In the figure below is showed what i want to do. As you can see there is a legend of my chart and i want insert the data corresponded to the name of legend, i.g: UCL - 100, ICL - 50 and so on.
Here is a real example of what i really aim to:
A piece of the code i'm using is below, I can't share the rest:
fig.add_trace(go.Scatter(
x=df_mean_control_chart['Samples'],
y=df_mean_control_chart['UCL'],
mode='lines',
name='UCL',
line=dict(color='black', width=2)))
Description of the variables:
df_mean_control_chart['Samples'] and df_mean_control_chart['UCL'] = it's a column of a data from a dataframe which only contains numerical data.
You can add numerical values to the legend by using f-string to add the numerical value you wish to add to the legend.
import plotly.express as px
import plotly.graph_objects as go
df = px.data.stocks()
goog_max = df['GOOG'].max()
goog_mean = df['GOOG'].mean()
goog_min = df['GOOG'].min()
fig = go.Figure()
fig.add_trace(go.Scatter(x=df.index, y=df['GOOG'], name='GOOG'))
fig.add_trace(go.Scatter(mode='lines',
x=df.index,
y=[goog_mean]*len(df),
name=f'GOOG {round(goog_mean,2)}'))
fig.add_trace(go.Scatter(mode='lines',
x=df.index,
y=[goog_max]*len(df),
name=f'GOOG {round(goog_max,2)}'))
fig.add_trace(go.Scatter(mode='lines',
x=df.index,
y=[goog_min]*len(df),
name=f'GOOG {round(goog_min,2)}'))
fig.show()