plotly~箱线图简单实例

用户7010445

发布于 2020-05-26 10:23:42

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发布于 2020-05-26 10:23:42

文章被收录于专栏：小明的数据分析笔记本小明的数据分析笔记本

参考文章

https://www.tutorialspoint.com/plotly/plotly_box_violin_and_contour_plot.htm

实例

https://www.cnblogs.com/feffery/p/9293745.html

有颜色

https://www.jianshu.com/p/4f4daf47cc85

参数详解

https://www.kaggle.com/kanncaa1/plotly-tutorial-for-beginners

kaggle for beginners

最基本箱线图

from plotly.offline import plot
import plotly.graph_objs as go 

y = [1140,1460,489,594,502,508,370,200]
trace1 = go.Box(y=y)
layout = go.Layout(plot_bgcolor='#ffffff',width=500,height=500)
data = [trace1]
fig = go.Figure(data=data,layout=layout)
fig.show()

image.png

更改一些设置


import plotly.graph_objs as go
import numpy as np 

np.random.seed(10)

c1 = np.random.normal(100,10,200)
c2 = np.random.normal(80,30,200)

trace1 = go.Box(y=c1,fillcolor="#ff7500",marker_color="#ff7500",name="ABC")
trace2 = go.Box(y=c2,fillcolor="#16a951",marker={'color':"#16a951"},name="DEF")

data = [trace1,trace2]

layout = go.Layout(plot_bgcolor='#ffffff',width=500,height=500)

fig = go.Figure(data=data,layout=layout)

fig.show()

image.png

遇到一个问题

如何做分组的箱线图

找到分组柱形图的例子

import plotly.graph_objs as go 

x = ["A","B","C"]
y1 = [10,12,14]
y2 = [11,9,20]

trace1 = go.Bar(x=x,y=y1,name='citations',text="kobe")
trace2 = go.Bar(x=x,y=y2,name='teaching',text='Bryant')

data = [trace1,trace2]

layout = go.Layout(barmode="group")

fig = go.Figure(data=data,layout=layout)

fig.show()

image.png

模仿柱形图做箱线图


import plotly.graph_objs as go
import numpy as np 

np.random.seed(10)

x1 = ["A"]*200
c1 = np.random.normal(100,10,200)
c2 = np.random.normal(80,30,200)

x2 = ["B"]*200
c3 = np.random.normal(100,10,200)
c4 = np.random.normal(80,30,200)

trace1 = go.Box(x=x1,y=c1,fillcolor="#ff7500",marker_color="#ff7500",name="ABC")
trace2 = go.Box(x=x1,y=c2,fillcolor="#16a951",marker={'color':"#16a951"},name="DEF")

trace3 = go.Box(x=x2,y=c3,fillcolor="#ff7500",marker_color="#ff7500",name="ABC")
trace4 = go.Box(x=x2,y=c4,fillcolor="#16a951",marker={'color':"#16a951"},name="DEF")


data = [trace1,trace2,trace3,trace4]

layout = go.Layout(plot_bgcolor='#ffffff',width=500,height=500,boxmode='group')

fig = go.Figure(data=data,layout=layout)

fig.show()