一种在 for 循环中为每个子图更新图形布局的方法 (Plotly)

Question

有没有办法像这样循环更新每个图形的布局？我将每个布局添加到列表中并循环遍历每个布局但似乎无法更新子图中的数字：

# Data Visualization
from plotly.subplots import make_subplots
import plotly.graph_objects as go

epoch_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
loss_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
val_loss_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
error_rate = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
val_error_rate = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

layout_list = []

loss_plots = [go.Scatter(x=epoch_list,
                         y=loss_list,
                         mode='lines',
                         name='Loss',
                         line=dict(width=4)),
              go.Scatter(x=epoch_list,
                         y=val_loss_list,
                         mode='lines',
                         name='Validation Loss',
                         line=dict(width=4))]
loss_layout = dict(font_color='black',
                   title_font_color='black',
                   title=dict(text='Loss Graph',
                              font_size=30),
                   xaxis_title=dict(text='Epochs',
                                    font_size=25),
                   yaxis_title=dict(text='Loss',
                                    font_size=25),
                   legend=dict(font_size=15))

loss_figure = go.Figure(data=loss_plots)
layout_list.append(loss_layout)

error_plots = [go.Scatter(x=epoch_list,
                          y=loss_list,
                          mode='lines',
                          name='Error Rate',
                          line=dict(width=4)),
               go.Scatter(x=epoch_list,
                          y=val_loss_list,
                          mode='lines',
                          name='Validation Error Rate',
                          line=dict(width=4))]
error_rate_layout = dict(font_color='black',
                         title_font_color='black',
                         title=dict(text='Error Rate Graph',
                                    font_size=30),
                         xaxis_title=dict(text='Epochs',
                                          font_size=25),
                         yaxis_title=dict(text='Error Rate',
                                          font_size=25),
                         legend=dict(font_size=15))

error_figure = go.Figure(data=error_plots)
layout_list.append(error_rate_layout)

metric_figure = make_subplots(
    rows=3, cols=2,
    specs=[[{}, {}],
           [{}, {}],
           [{}, {}]])

for t in loss_figure.data:
    metric_figure.append_trace(t, row=1, col=1)
for t in error_figure.data:
    metric_figure.append_trace(t, row=1, col=2)

for (figure, layout) in zip(metric_figure, layout_list):
    figure.update_layout(layout)

metric_figure.show()

似乎这样做也行不通，因为布局没有转移，因为我只是循环遍历痕迹：

loss_figure = go.Figure(data=loss_plots, layout=loss_layout)

Answer 1

你可以使用 python dict 合并技术

metric_figure.update_layout({**loss_layout, **error_rate_layout})

或者，如果布局是数字

metric_figure.update_layout({**error_figure.to_dict()["layout"],**error_ficture.to_dict()["layout"]})

这两者的用途都有限，因为子图布局与单个图形有很大不同。 x 轴和 y 轴的定义与单个图形/布局不同，字典键重叠的地方只能使用一个 - 例如 title

一种在 for 循环中为每个子图更新图形布局的方法 (Plotly)

A way to update figure layout in a for loop for each subplot (Plotly)

python

graph

plotly

data-science

plotly-python