ValueError:Mime类型渲染需要nbformat>=4.2.0但未安装

我试图在 Visual Studio Code 中打印一个情节图并发现了这个错误：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-40-e07b5feb5ded> in <module>
     30 
     31 fig.update_layout(height=nrows*500)
---> 32 fig.show()

C:Python38libsite-packagesplotlybasedatatypes.py in show(self, *args, **kwargs)
   3147         import plotly.io as pio
   3148 
-> 3149         return pio.show(self, *args, **kwargs)
   3150 
   3151     def to_json(self, *args, **kwargs):

C:Python38libsite-packagesplotlyio_renderers.py in show(fig, renderer, validate, **kwargs)
    383 
    384         if not nbformat or LooseVersion(nbformat.__version__) < LooseVersion("4.2.0"):
--> 385             raise ValueError(
    386                 "Mime type rendering requires nbformat>=4.2.0 but it is not installed"
    387             )

ValueError: Mime type rendering requires nbformat>=4.2.0 but it is not installed

我使用的代码：

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

df = df[df['Data']>0]
df['Timestamp'] = pd.to_datetime(df['Timestamp'])
df = df[(df['Id'] ==1)|(df['Id'] ==6)]

dfp = pd.pivot_table(df,
                     values='Data',
                     index=['Timestamp'],
                     columns=['Id'],
               )
nrows = len(dfp.columns) 

fig = make_subplots(rows=nrows,
                    cols=1,
                    subplot_titles=['Id '+str(c) for c in dfp.columns])

# add traces
x = 1
for i, col in enumerate(dfp.columns):
    fig.add_trace(go.Scatter(x=dfp.index, y=dfp[col].values,
                             name = 'Id '+str(col),
                             mode = 'lines',
                             ),
                  row=i+1,
                  col=1)

fig.update_layout(height=nrows*500)
fig.show()

我在 GitHub 上的这个提要和stackoverflow上的这个问题之后在pip install nbformat控制台中尝试过，
但它没有用。

但是，代码似乎可以在删除最后 2 行的情况下运行：

fig.update_layout(height=nrows*500)
fig.show()

回答

pip install --upgrade nbformat