jupyter_client.kernelspec.NoSuchKernel：没有名为PySpark的内核

我试图从命令行执行Jupyter笔记本。我目前正在使用下面链接中提供的docker图像

当我尝试在下面的命令行中执行时，它失败了

jupyter nbconvert --to notebook --ExecutePreprocessor.kernel_name=PySpark --ExecutePreprocessor.timeout=3600 --execute notebooks/sample-notebook.ipynb 

下面是错误消息

[NbConvertApp] Converting notebook notebooks/sample-notebook.ipynb to notebook
Traceback (most recent call last):
  File "/opt/conda/bin/jupyter-nbconvert", line 11, in <module>
    sys.exit(main())
  File "/opt/conda/lib/python3.7/site-packages/jupyter_core/application.py", line 270, in launch_instance
    return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/traitlets/config/application.py", line 664, in launch_instance
    app.start()
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/nbconvertapp.py", line 340, in start
    self.convert_notebooks()
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/nbconvertapp.py", line 510, in convert_notebooks
    self.convert_single_notebook(notebook_filename)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/nbconvertapp.py", line 481, in convert_single_notebook
    output, resources = self.export_single_notebook(notebook_filename, resources, input_buffer=input_buffer)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/nbconvertapp.py", line 410, in export_single_notebook
    output, resources = self.exporter.from_filename(notebook_filename, resources=resources)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/exporters/exporter.py", line 179, in from_filename
    return self.from_file(f, resources=resources, **kw)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/exporters/exporter.py", line 197, in from_file
    return self.from_notebook_node(nbformat.read(file_stream, as_version=4), resources=resources, **kw)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/exporters/notebook.py", line 32, in from_notebook_node
    nb_copy, resources = super(NotebookExporter, self).from_notebook_node(nb, resources, **kw)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/exporters/exporter.py", line 139, in from_notebook_node
    nb_copy, resources = self._preprocess(nb_copy, resources)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/exporters/exporter.py", line 316, in _preprocess
    nbc, resc = preprocessor(nbc, resc)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/base.py", line 47, in __call__
    return self.preprocess(nb, resources)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/execute.py", line 403, in preprocess
    with self.setup_preprocessor(nb, resources, km=km):
  File "/opt/conda/lib/python3.7/contextlib.py", line 112, in __enter__
    return next(self.gen)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/execute.py", line 345, in setup_preprocessor
    self.km, self.kc = self.start_new_kernel(**kwargs)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/execute.py", line 291, in start_new_kernel
    km.start_kernel(extra_arguments=self.extra_arguments, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/jupyter_client/manager.py", line 301, in start_kernel
    kernel_cmd, kw = self.pre_start_kernel(**kw)
  File "/opt/conda/lib/python3.7/site-packages/jupyter_client/manager.py", line 254, in pre_start_kernel
    kernel_cmd = self.format_kernel_cmd(extra_arguments=extra_arguments)
  File "/opt/conda/lib/python3.7/site-packages/jupyter_client/manager.py", line 178, in format_kernel_cmd
    cmd = self.kernel_spec.argv + extra_arguments
  File "/opt/conda/lib/python3.7/site-packages/jupyter_client/manager.py", line 84, in kernel_spec
    self._kernel_spec = self.kernel_spec_manager.get_kernel_spec(self.kernel_name)
  File "/opt/conda/lib/python3.7/site-packages/jupyter_client/kernelspec.py", line 235, in get_kernel_spec
    raise NoSuchKernel(kernel_name)
jupyter_client.kernelspec.NoSuchKernel: No such kernel named PySpark

[NbConvertApp]将笔记本电脑/sample-notebook.ipynb转换为笔记本电脑
回溯（最近一次呼叫最后一次）：
文件“/opt/conda/bin/jupyter nbconvert”，第11行，in
sys.exit（main（））
文件“/opt/conda/lib/python3.7/site packages/jupyter_core/application.py”，第270行，在launch_实例中
返回super（JupyterApp，cls）。启动_实例（argv=argv，**kwargs）
文件“/opt/conda/lib/python3.7/site packages/traitlets/config/application.py”，第664行，在launch_实例中
app.start（）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/nbconvertapp.py”，第340行，开头
self.convert_笔记本（）
convert\u笔记本中的文件“/opt/conda/lib/python3.7/site packages/nbconvert/nbconvertapp.py”，第510行
转换单个笔记本（笔记本文件名）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/nbconvertapp.py”，第481行，在convert\u single\u笔记本中
输出，资源=自身。导出\u单个\u笔记本（笔记本文件名，资源，输入\u缓冲区=输入\u缓冲区）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/nbconvertapp.py”，第410行，在export\u single\u笔记本中
输出，resources=self.exporter.from_文件名（笔记本文件名，resources=resources）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/exporters/exporter.py”，第179行，从文件名开始
从_文件返回self.from（f，resources=resources，**kw）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/exporters/exporter.py”，第197行，在from_文件中
从笔记本节点返回self.from（nbformat.read（文件流，as版本=4），resources=resources，**kw）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/exporters/notebook.py”，第32行，在from\u notebook\u节点中
nb_copy，resources=super（NotebookExporter，self）。从_笔记本节点（nb，resources，**kw）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/exporters/exporter.py”，第139行，从笔记本节点
nb_copy，resources=self.\u预处理（nb_copy，resources）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/exporters/exporter.py”，第316行，在预处理中
nbc，resc=预处理器（nbc，resc）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/preprocessors/base.py”，第47行，在调用中__
返回self.preprocess（注意，参考资料）
预处理中的文件“/opt/conda/lib/python3.7/site packages/nbconvert/preprocessors/execute.py”，第403行
使用self.setup_预处理器（nb，资源，km=km）：
文件“/opt/conda/lib/python3.7/contextlib.py”，第112行，输入__
返回下一个（self.gen）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/preprocessors/execute.py”，第345行，位于安装程序预处理器中
self.km，self.kc=self.start\u new\u内核（**kwargs）
文件“/opt/conda/lib/python3.7/site packages/nbconvert/preprocessors/execute.py”，第291行，在start\u new\u内核中
km.start_内核（额外_参数=self.extra_参数，**kwargs）
文件“/opt/conda/lib/python3.7/site packages/jupyter\u client/manager.py”，第301行，在start\u内核中
kernel\u cmd，kw=self.pre\u start\u kernel（**kw）
文件“/opt/conda/lib/python3.7/site packages/jupyter_client/manager.py”，第254行，在pre_start_内核中
kernel\u cmd=self.format\u kernel\u cmd（额外参数=额外参数）
文件“/opt/conda/lib/python3.7/site packages/jupyter\u client/manager.py”，第178行，格式为内核cmd
cmd=self.kernel\u spec.argv+extra\u参数
内核规范第84行的文件“/opt/conda/lib/python3.7/site packages/jupyter\u client/manager.py”
self.\u kernel\u spec=self.kernel\u spec\u manager.get\u kernel\u spec（self.kernel\u name）
文件“/opt/conda/lib/python3.7/site packages/jupyter_client/kernelspec.py”，第235行，在get_kernel_规范中
raise NOSUCH内核（内核名称）
jupyter_client.kernelspec.NoSuchKernel：没有名为PySpark的内核

如果运行

jupyter kernelspec list

，是否会列出

PySpark

？