Plotly express 动画:hoverlabel 的更改仅适用于第一帧

Plotly express animation: changes in hoverlabel only applied for the first frame

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 上面的代码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 hoverlabel 会重新出现(我认为是因为跟踪更新)。有什么解决办法吗?

编辑: 添加 GIF 以显示问题

这是一个 known issue,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}')

如果您不这样做,那么在您 运行 通过按 play 或来回移动滑块的任何动画之前 之前的第一帧仍然会显示这个:

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()