重复yaxis标签

Question

我有一个宽矩阵，我用巧妙的表达方式呈现出来。让我们说：

import plotly.express as px
data=[[1, 25, 30, 50, 1], [20, 1, 60, 80, 30], [30, 60, 1, 5, 20]]
fig = px.imshow(data,
                labels=dict(x="Day of Week", y="Time of Day", color="Productivity"),
                x=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'],
                y=['Morning', 'Afternoon', 'Evening']
               )
fig.update_xaxes(side="top")

fig.layout.height = 500
fig.layout.width = 500

fig.show()

为了提高可读性，我想在矩阵的右侧重复(或添加一个相同的) yaxis。

我试着跟踪这

fig.update_layout(xaxis=dict(domain=[0.3, 0.7]),
    # create 1st y axis
    yaxis=dict(
    title="yaxis1 title",),
    # create 2nd y axis
    yaxis2=dict(title="yaxis2 title", anchor="x", overlaying="y",
                side="right")
    )

但是我不能让它与imshow一起工作，因为它不接受yaxis参数。

有什么解决办法吗？

Answer 1

通过圆滑的论坛找到了一个答案

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

# Create figure with secondary y-axis
fig = make_subplots(specs=[[{"secondary_y": True}]])

data=[[1, 25, 30, 50, 1], [20, 1, 60, 80, 30], [30, 60, 1, 5, 20]]

fig.add_trace(go.Heatmap(
                z=data,
                x=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'],
                y=['Morning', 'Afternoon', 'Evening']
),secondary_y=False)
fig.add_trace(go.Heatmap(
                z=data,
                x=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'],
                y=['Morning', 'Afternoon', 'Evening']
),secondary_y=True)

fig.update_xaxes(side="top")
fig.update_layout(xaxis_title="Day of Week", yaxis_title="Time of Day")

fig.show()

请注意，添加两次跟踪可能不是最优的，但它有效。