Plotly 表达动画：hoverlabel 的更改仅应用于第一帧

Question

import pandas as pd
from pandas import Timestamp
import plotly.express as px

df = pd.DataFrame({'continent': {127: 'South America',
  128: 'South America',
  129: 'South America',
  130: 'South America',
  131: 'South America'},
 'date': {127: Timestamp('2021-03-01 00:00:00'),
  128: Timestamp('2021-03-26 00:00:00'),
  129: Timestamp('2021-04-20 00:00:00'),
  130: Timestamp('2021-05-15 00:00:00'),
  131: Timestamp('2021-06-09 00:00:00')},
 'total_cases': {127: 20465329.0,
  128: 23470911.0,
  129: 26544779.0,
  130: 29891133.0,
  131: 30534015.0}})

fig = px.bar(df, x='continent', y='total_cases', animation_frame=df.date.astype(str),
#              hover_data={'animation_frame':False,
#                         'continent':False,
#                         }
            )

fig.update_traces(hovertemplate='Date:%{animation_frame}<br>Total Cases:%{y}')

运行上述代码会输出带有动画滑块的条形图。仅当您不移动滑块时，对悬停标签所做的更改才可见。一旦你这样做并且框架发生变化，默认的plotly.express悬停标签就会重新出现（我认为是因为跟踪更新了）。有什么解决办法吗？

编辑：添加 GIF 来显示问题

Answer 1

这是一个已知问题，在撰写本文时，唯一的解决方案似乎是将以下内容添加到您的设置中：

for f in fig.frames:
    f.data[0].update(hovertemplate='Date:%{animation_frame}<br>Total Cases:%{y}')

您还需要保留：

fig.update_traces(hovertemplate='Date:%{animation_frame}<br>Total Cases:%{y}')

如果不这样做，则通过按下或前后移动滑块来运行任何动画之前的第一帧仍将显示以下内容：play

完整代码：

import pandas as pd
from pandas import Timestamp
import plotly.express as px

df = pd.DataFrame({'continent': {127: 'South America',
  128: 'South America',
  129: 'South America',
  130: 'South America',
  131: 'South America'},
 'date': {127: Timestamp('2021-03-01 00:00:00'),
  128: Timestamp('2021-03-26 00:00:00'),
  129: Timestamp('2021-04-20 00:00:00'),
  130: Timestamp('2021-05-15 00:00:00'),
  131: Timestamp('2021-06-09 00:00:00')},
 'total_cases': {127: 20465329.0,
  128: 23470911.0,
  129: 26544779.0,
  130: 29891133.0,
  131: 30534015.0}})

fig = px.bar(df, x='continent', y='total_cases', animation_frame=df.date.astype(str),
#              hover_data={'animation_frame':False,
#                         'continent':False,
#                         }
            )

fig.update_traces(hovertemplate='Date:%{animation_frame}<br>Total Cases:%{y}')
for f in fig.frames:
    f.data[0].update(hovertemplate='Date:%{animation_frame}<br>Total Cases:%{y}')

fig.show()