Python Plotly：制作辅助轴对数刻度

Question

我有一个数据集 x,y1,y2。使用 Plotly，我想：

• 在轴 1 上绘制 y1：线性
• 在axis2上绘制y2：log

我想它会看起来像这样：

fig.update_layout( yaxis_type="log", secondary_y=True) #A command like this one

这是我目前的设置

import pandas as pd

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


df= pd.DataFrame({'x': [0,1,2,3,4], 'y1' : [2,4,6,8,10], 'y2': [5,10,20,30,35]})

fig = make_subplots(specs=[[{"secondary_y": True}]])

fig.add_trace(
    go.Scatter(x=df["x"], y=df["y1"], name='normal scale'),
    secondary_y=False
)


fig.add_trace(
    go.Scatter(x=df["x"], y=df["y2"], name='make this log scale'),
    secondary_y=True,
)
fig.update_layout( yaxis_type="log", secondary_y=True) #A command like this one
fig.show()

Answer 1

命名另一个 y 轴并为其设置“日志”。我用这个information 作为参考。

import pandas as pd

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


df= pd.DataFrame({'x': [0,1,2,3,4], 'y1' : [2,4,6,8,10], 'y2': [5,10,20,30,35]})

fig = make_subplots(specs=[[{"secondary_y": True}]])

fig.add_trace(
    go.Scatter(x=df["x"], y=df["y1"], name='normal scale'),
    secondary_y=False
)


fig.add_trace(
    go.Scatter(x=df["x"], y=df["y2"], name='make this log scale', yaxis='y2'), # update
    secondary_y=True,
)
fig.update_layout(
                     yaxis2=dict(type='log')
                     ) # update
fig.show()