阴谋？ python - 如何在plotly Python中同时更改胡须长度和颜色单个箱线图？

Question

Here is the code from the webpage: https://plotly.com/python/box-plots/

I want to be able to change the color of every individual boxplot while keeping control of quartiles and fences:

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Box(y=[
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ],
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ],
        [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ]
      ], name="Precompiled Quartiles"))

fig.update_traces(q1=[ 1, 2, 3 ], median=[ 4, 5, 6 ],
                  q3=[ 7, 8, 9 ], lowerfence=[-1, 0, 1],
                  upperfence=[5, 6, 7], mean=[ 2.2, 2.8, 3.2 ],
                  sd=[ 0.2, 0.4, 0.6 ], notchspan=[ 0.2, 0.4, 0.6 ] )

fig.show()

Answer 1

To change the colors and the values for q1, q3, etc., you can use the below updated code. Change the values in the myq1 , myq3 and other array to change the values. The colors can be changed using the marker_color . The underlying data points, however are not visible. Hope this helps.

from plotly.subplots import make_subplots
import plotly.graph_objects as go

#fig = go.Figure()
myq1=[ 2, 3, 4 ]
myq3=[ 8, 9, 10 ]
mymedian=[ 4, 5, 6 ]
mymean=[ 2.2, 2.8, 3.2 ]
mylowerfence=[ 0, 1, 2 ]
mynotchspan=[ 0.2, 0.4, 0.6 ]
mysd=[ 0.2, 0.4, 0.6 ]
mylowerfence=[ 0, 1, 2 ]
myupperfence=[9, 10, 11]


trace0 = go.Box( y=[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], name="Quartile1", marker_color='#3D9970', q1=[myq1[0]], 
                median=[mymedian[0]], q3 = [myq3[0]], lowerfence=[mylowerfence[0]], upperfence=[myupperfence[0]], 
                mean=[mymean[0]],sd=[mysd[0]], notchspan=[mynotchspan[0]])

trace1 = go.Box( y=[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], name="Quartile2", marker_color='#FF4136', q1=[myq1[1]], 
                median=[mymedian[1]], q3 = [myq3[1]], lowerfence=[mylowerfence[1]], upperfence=[myupperfence[1]], 
                mean=[mymean[1]],sd=[mysd[1]], notchspan=[mynotchspan[1]])

trace2 = go.Box( y=[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], name="Quartile3", marker_color='#FF851B', q1=[myq1[2]], 
                median=[mymedian[2]], q3 = [myq3[2]], lowerfence=[mylowerfence[2]],upperfence=[myupperfence[2]], 
                mean=[mymean[2]],sd=[mysd[2]], notchspan=[mynotchspan[2]])

fig=go.Figure(data=[trace0, trace1, trace2])

fig.update_traces(orientation='v')
fig.update_layout(boxmode='group')                  
fig.show()

Output