CODEWITHSUNDEEP
pythonplotlyviolin-plot
Simon
Simon

Reputation: 763

python: multiple split violine plot overlayed

I have a set of samples to illustrate in violin plots. Here is an example by plotly.

enter image description here

I want something similar, but multiple "blue" distributions on the left-hand side of the violin. Very likely the area under the distribution is semi-transparent and overlayed.

Is there any suggestion to plot it? It needs not to be plotly.

Thanks.

Upvotes: 0

Views: 1826

Answers (1)

Daniel R
Daniel R

Reputation: 2042

You can add as many traces as you want using fig.add_trace. Following the same example from plotly:

import plotly.graph_objects as go

import pandas as pd

df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv")

fig = go.Figure()

fig.add_trace(go.Violin(x=df['day'][ df['smoker'] == 'Yes' ],
                        y=df['total_bill'][ df['smoker'] == 'Yes' ],
                        legendgroup='Yes', scalegroup='Yes', name='Yes',
                        side='negative',
                        line_color='blue')
             )
fig.add_trace(go.Violin(x=df['day'][ df['smoker'] == 'No' ],
                        y=df['total_bill'][ df['smoker'] == 'No' ],
                        legendgroup='No', scalegroup='No', name='No',
                        side='negative',
                        line_color='green')
             )
fig.add_trace(go.Violin(x=df['day'][ df['smoker'] == 'No' ],
                        y=df['total_bill'][ df['smoker'] == 'No' ],
                        legendgroup='No', scalegroup='No', name='No',
                        side='positive',
                        line_color='orange')
             )
fig.update_traces(meanline_visible=True)
fig.update_layout(violingap=0, violinmode='overlay')
fig.show()

Would add another trace to the left side:

enter image description here

Upvotes: 2

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