python - 从下拉菜单或按钮-Python/Plotly 将 sqrt 设置为 yaxis 比例

Question

从这里的这个例子:Set linear or log axes from button or dropdown menu我可以使用一个按钮将 yaxis 从线性更改为日志。但是我需要将其更改为 sqrt。

我看过来自 Plotly: reference layout axis我发现没有类型 ("sqrt")

typeCode: fig.update_yaxes(type=)Type: enumerated , one of ( "-" | "linear" | "log" | "date" | "category" | "multicategory" )Default: "-" Sets the axis type. By default, plotly attempts to determined the axis type by looking into the data of the traces that referenced the axis in question.

这是示例代码:

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Scatter(
    x=[0, 1, 2, 3, 4, 5, 6, 7, 8],
    y=[8, 7, 6, 5, 4, 3, 2, 1, 0]
))

fig.add_trace(go.Scatter(
    x=[0, 1, 2, 3, 4, 5, 6, 7, 8],
    y=[0, 1, 2, 3, 4, 5, 6, 7, 8]
))

fig.update_layout(title_text="CIR plot ",
                          updatemenus=[
            dict(
                 buttons=list([
                     dict(label="Linear",  method="update", args=[{"yaxis":{"type": "linear"}}]),
                     dict(label="Log", method="update", args=[{"yaxis":{"type": "log"}}]),
                                  ]),
            )])

 #UPDATE Y AXIS HERE
fig.update_layout( updatemenus=[
            dict(
                 buttons=list([
                     dict(label="Linear-ID",  
                          method="relayout", 
                          args=[{"yaxis.type": "linear"}]),
                     dict(label="Log-ID", 
                          method="relayout", 
                          args=[{"yaxis.type": "log"}]),
                                  ]),
            )])
fig.show()

有没有办法使用按钮将比例更新为 sqrt ？

Answer 1

据我所知，目前无法将 sqrt 指定为轴的比例，这会触发轴标签的视觉变化，例如 fig.update_xaxes(type="日志"):

但您实际上不必更改与 yaxis 关联的数据以显示给定系列的平方根。下面的完整代码片段生成一个图形，可以让您轻松地在显示原始数据和带平方根的系列之间切换。

图 1:原始数据

图 2:np.sqrt

完整代码:

import numpy as np
import plotly.graph_objects as go
import plotly.express as px
df = px.data.gapminder().query("year == 2007")

# figure setup
fig = go.Figure()
fig.add_scatter(mode="markers", x=df["gdpPercap"], y=df["lifeExp"])
fig.add_scatter(mode="markers", x=df["gdpPercap"], y=np.sqrt(df["lifeExp"]), visible = False)

# buttons for updatemenu
buttons = [dict(method='restyle',
                label='linear',
                visible=True,
                args=[{'label': 'linear',
                       'visible':[True, False],
                      }
                     ]),
           dict(method='restyle',
                label='sqrt',
                visible=True,
                args=[{'label': 'linear',
                       'visible':[False, True],
                      }
                     ])]
           
# specify updatemenu        
um = [{'buttons':buttons,
      'direction': 'down'}
      ]

fig.update_layout(updatemenus=um)
# fig.update_yaxes(type="log")
fig.show()