情节？如何在Plotly Python中同时更改晶须长度和彩色单个盒子图？

发布于 2025-02-10 14:15:35 字数 725 浏览 0 评论 0原文

这是网页中的代码： https://plotly.com/python/box-plots/

我想能有能力在控制四分位数和围栏的同时更改每个单独的箱形的颜色：

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()

原文

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()

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倾城花音 2025-02-17 14:15:35

要更改Q1，Q3等的颜色和值，您可以使用以下更新的代码。更改myq1，myq3和其他数组中的值以更改值。可以使用Marker_Color更改颜色。但是，基础数据点不可见。希望这会有所帮助。

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

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