常规热图有效，但图形工厂热图在Plotly中失败

Question

数据

fin_list

[[None, 9.1, 8.8, 8.7, 8.8, 9.1, 9.2, 9.2, 9.0, 9.6],
 [None, 8.8, 8.5, 8.8, 8.8, 8.8, 9.1, 8.9, 8.8, 9.7],
 [None, 8.8, 8.6, 8.9, 9.6, 9.0, 8.8, 8.7, 9.0, 9.9],
 [None, 9.1, 9.7, 8.9, 8.8, 8.7, 9.7, 9.1, 9.7, 9.6],
 [None, 8.5, 8.5, 8.5, 8.7, 8.6, 8.0, 9.0, 9.9, 9.5],
 [None, 8.5, 9.4, 8.7, 9.1, 9.7, 8.4, 8.6, 8.4, 9.9],
 [None, 8.6, 8.9, 9.2, 9.8, 8.8, 9.1, 9.4, None, None],
 [None, 7.6, 7.9, 7.5, 5.5, 6.0, 4.1, None, None, None]]

sorted（series ['episodes']）] >>

[1, 2, 3, 4, 5, 6, 7, 8]
y_episodes

[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
使用Graph_objects的热图代码

import plotly.graph_objects as go

fig = go.Figure(data=go.Heatmap(
                   x=y_episodes,
                   y=sorted(series['episodes']),
                   z=fin_list,
                   colorscale = 'OrRd',
                   hoverongaps = False))
输出-

[当我尝试使用绘图factory figure重新创建热图时>]

import plotly.figure_factory as ff

fig = ff.create_annotated_heatmap( 
                   x=sorted(series['episodes']),
                   y=y_episodes,
                   z=fin_list,
                   colorscale = 'OrRd')
错误：PlotlyError：糟糕，您提供的x列表与z矩阵的宽度不匹配

但是我的坐标轴在上图中是正确的。

print(len(sorted(series['episodes']))) #x_axis = 8
print(len(y_episodes)) #y_axis = 11
print(len(fin_list)) #z_axis = 8
我的最终目标是对热图进行注释，如果有一种解决方法，可以在使用graph_objects（而不是图形工厂）的代码中添加注释，请告诉我。

数据fin_list [[无，9.1，8.8，8.7，8.8，9.1，9.2，9.2，9.0，9.6]，[无，8.8，8.5，8.8，8.8，8.8，9.1，8.9，8.8，9.7]，[无，8.8，8.6，8.9，9.6，9.0，8.8，8.7，9.0，9.9]，[无，9.1，9.7，8 ....

Answer 1

使用numpy.nan代替，其类型为float。您可以使用嵌套列表理解来替换fin_list中的值：

list_nans=[[np.nan if y is None else y for y in x] for x in fin_list]