Go的子绘图.图形对象中包含多个绘图

Question

如何使用一堆go创建子图。绘制本身具有多条线和数据点的对象？解释：

# 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]
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_figure = go.Figure(data=loss_plots)
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_figure = go.Figure(data=error_plots)
metric_figure = make_subplots(
rows=3, cols=2,
specs=[[{}, {}],
[{}, {}],
[{'colspan': 2}, {}]])
metric_figure.append_trace(loss_figure, row=1, col=1)
metric_figure.append_trace(error_figure, row=1, col=2)
metric_figure.show()

我在尝试创建子图时遇到的错误是"为invalid elementsinclude:[图]的'data'属性接收到的无效元素"。我想我知道错误发生的原因，但有办法解决吗？我仍然想更改每个图的布局，并在单个图上有多行。

Answer 1

这是一个简单的例子，在每个图中循环跟踪并将它们添加到所需的子图中。

# 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]
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_figure = go.Figure(data=loss_plots)
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_figure = go.Figure(data=error_plots)
metric_figure = make_subplots(
rows=3, cols=2,
specs=[[{}, {}],
[{}, {}],
[{'colspan': 2}, {}]])
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)
metric_figure.show()