Python Plotly box plot关闭异常值检测

在Plotly（Python）中，默认情况下，方框图检测异常值，如果存在它决定为异常值的内容，则不会将胡须扩展到异常值。但是，我知道我的任何数据点都不应被视为异常值。是否可以在方框图中关闭异常值检测，并将整个数据集作为内联线处理

---

顺便说一下，我仍然想显示方框图旁边的所有点，因此，我不想使用选项

boxpoints=False

强制方框图包含所有点。

目前唯一的方法似乎是使用多个跟踪，并将它们调整到与下面的绘图和代码片段相同的位置。如果您想了解一些细节，请查看最后的片段和绘图

在下面的代码片段中，我将使用

go.Box（x=x0）

处理两个不同的记录道，它们具有相同的数据，但标记和线的设置不同，以实现这一点：

绘图：

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
x0 = y0
x0 = [0 for y in y0]

# include an outlier
y0[-1] = 4

# traces
trace0 = go.Box(x=x0,
                y=y0, boxpoints = False, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
)

trace1 = go.Box(x=x0,
                y=y0, boxpoints = 'all', pointpos = 0,
                marker = dict(color = 'rgb(66, 66, 244)'),
                line = dict(color = 'rgba(0,0,0,0)'),
                fillcolor = 'rgba(0,0,0,0)'
)

data=[trace0, trace1]

# figure
fig = go.Figure(data)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),

)

# figure
fig = go.Figure(trace0)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
                boxpoints = False
)

# figure
fig = go.Figure(trace0)
fig.show()

代码：

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
x0 = y0
x0 = [0 for y in y0]

# include an outlier
y0[-1] = 4

# traces
trace0 = go.Box(x=x0,
                y=y0, boxpoints = False, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
)

trace1 = go.Box(x=x0,
                y=y0, boxpoints = 'all', pointpos = 0,
                marker = dict(color = 'rgb(66, 66, 244)'),
                line = dict(color = 'rgba(0,0,0,0)'),
                fillcolor = 'rgba(0,0,0,0)'
)

data=[trace0, trace1]

# figure
fig = go.Figure(data)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),

)

# figure
fig = go.Figure(trace0)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
                boxpoints = False
)

# figure
fig = go.Figure(trace0)
fig.show()

---

有关默认行为的详细信息：

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
x0 = y0
x0 = [0 for y in y0]

# include an outlier
y0[-1] = 4

# traces
trace0 = go.Box(x=x0,
                y=y0, boxpoints = False, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
)

trace1 = go.Box(x=x0,
                y=y0, boxpoints = 'all', pointpos = 0,
                marker = dict(color = 'rgb(66, 66, 244)'),
                line = dict(color = 'rgba(0,0,0,0)'),
                fillcolor = 'rgba(0,0,0,0)'
)

data=[trace0, trace1]

# figure
fig = go.Figure(data)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),

)

# figure
fig = go.Figure(trace0)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
                boxpoints = False
)

# figure
fig = go.Figure(trace0)
fig.show()

如果未指定

Boxpoints

，则行将不包括异常值：

绘图：默认值

代码：

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
x0 = y0
x0 = [0 for y in y0]

# include an outlier
y0[-1] = 4

# traces
trace0 = go.Box(x=x0,
                y=y0, boxpoints = False, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
)

trace1 = go.Box(x=x0,
                y=y0, boxpoints = 'all', pointpos = 0,
                marker = dict(color = 'rgb(66, 66, 244)'),
                line = dict(color = 'rgba(0,0,0,0)'),
                fillcolor = 'rgba(0,0,0,0)'
)

data=[trace0, trace1]

# figure
fig = go.Figure(data)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),

)

# figure
fig = go.Figure(trace0)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
                boxpoints = False
)

# figure
fig = go.Figure(trace0)
fig.show()

使包含异常值的行成为异常值的唯一方法是通过设置

boxpoints=False来删除所有的boxpoints

绘图：

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
x0 = y0
x0 = [0 for y in y0]

# include an outlier
y0[-1] = 4

# traces
trace0 = go.Box(x=x0,
                y=y0, boxpoints = False, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
)

trace1 = go.Box(x=x0,
                y=y0, boxpoints = 'all', pointpos = 0,
                marker = dict(color = 'rgb(66, 66, 244)'),
                line = dict(color = 'rgba(0,0,0,0)'),
                fillcolor = 'rgba(0,0,0,0)'
)

data=[trace0, trace1]

# figure
fig = go.Figure(data)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),

)

# figure
fig = go.Figure(trace0)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
                boxpoints = False
)

# figure
fig = go.Figure(trace0)
fig.show()



代码：

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
x0 = y0
x0 = [0 for y in y0]

# include an outlier
y0[-1] = 4

# traces
trace0 = go.Box(x=x0,
                y=y0, boxpoints = False, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
)

trace1 = go.Box(x=x0,
                y=y0, boxpoints = 'all', pointpos = 0,
                marker = dict(color = 'rgb(66, 66, 244)'),
                line = dict(color = 'rgba(0,0,0,0)'),
                fillcolor = 'rgba(0,0,0,0)'
)

data=[trace0, trace1]

# figure
fig = go.Figure(data)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),

)

# figure
fig = go.Figure(trace0)
fig.show()

# imports
import plotly
from plotly import tools
import pandas as pd
import numpy as np
import plotly.graph_objs as go

# setup
np.random.seed(123)

# data
y0 = np.random.randn(50)-1
y0[-1] = 4

# traces
trace0 = go.Box(y=y0, pointpos = 0,
                marker = dict(color = 'rgb(66, 167, 244)'),
                boxpoints = False
)

# figure
fig = go.Figure(trace0)
fig.show()

当然，这不是你的目标

我希望这是有帮助的。如果没有，请毫不犹豫地告诉我