Plotly：当 scaleanchor = x 时，如何调整带注释的热图的轴标签？答案

【问题标题】：Plotly: How to adjust axis labels for annotated heatmaps when scaleanchor = x?Plotly：当 scaleanchor = x 时，如何调整带注释的热图的轴标签？
【发布时间】：2021-05-11 21:19:57
【问题描述】：

当您设置scaleanchor=x 和adjusting the aspect ratio 时，例如使用ff.annotated_heatmaps 制作一个完美的正方形热图，您最终会得到与x 轴本身有较大偏移的x 轴标签，如下所示：

如何解决这个问题？

代码：

import numpy as np
import plotly.graph_objs as go
import plotly.figure_factory as ff

# data
z = np.random.randint(0,6, size=(10, 10))
z_text = np.full(z.shape, '', dtype=str)
d = {0:'a', 1:'b', 2:'c', 3:'d', 4:'e', 5:'f'}
class_mat = np.vectorize(d.get)(z)

# plotly figure factory annotated heatmap
fig = ff.create_annotated_heatmap(z, annotation_text=z_text,
                                  text=class_mat, hoverinfo='text', colorscale='Viridis',
                                  x = list('ABCDEFGHIJ'),
                                  y = list('ABCDEFGHIJ')
                                 )
fig.layout.title = 'Semantic Segmentation'
fig.data[0]['hoverinfo'] = 'all'

# adjustment 1: scaleanchor => squared figure
fig['layout']['yaxis']['scaleanchor']='x'

# adjustment 2: remove redunant background background
fig.update_layout(plot_bgcolor='rgba(0,0,0,0)')

fig.show()

【问题讨论】：

标签： python plotly heatmap

【解决方案1】：

这个解决方案有点神秘，但请确保包含constrain='domain'：

fig.update_layout(xaxis=dict(scaleanchor='y',constrain='domain'))

情节

完整代码

import numpy as np
import plotly.graph_objs as go
import plotly.figure_factory as ff

# data
z = np.random.randint(0,6, size=(10, 10))
z_text = np.full(z.shape, '', dtype=str)
d = {0:'a', 1:'b', 2:'c', 3:'d', 4:'e', 5:'f'}
class_mat = np.vectorize(d.get)(z)

# plotly figure factory annotated heatmap
fig = ff.create_annotated_heatmap(z, annotation_text=z_text,
                                  text=class_mat, hoverinfo='text', colorscale='Viridis',
                                  x = list('ABCDEFGHIJ'),
                                  y = list('ABCDEFGHIJ')
                                 )
fig.layout.title = 'Semantic Segmentation'
fig.data[0]['hoverinfo'] = 'all'

# adjustment 1: scaleanchor => squared figure
fig['layout']['yaxis']['scaleanchor']='x'

# adjustment 2: remove redunant background background
fig.update_layout(plot_bgcolor='rgba(0,0,0,0)')

# adjustment 3: x-axis label offsets
fig.update_layout(xaxis=dict(scaleanchor='y',constrain='domain'))

fig.show()

【讨论】：