答案 0 :(得分:2)
您可以使用fig.add_trace
添加任意数量的跟踪。从plotly遵循相同的示例:
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()
将在左侧添加另一条迹线: