在你的工具链中有Jupytext是很好的。它不仅允许从笔记本到脚本的转换，而且还可以从脚本返回到笔记本。甚至把那本笔记本打印出来。

jupytext --to py notebook.ipynb                 # convert notebook.ipynb to a .py file
jupytext --to notebook notebook.py              # convert notebook.py to an .ipynb file with no outputs
jupytext --to notebook --execute notebook.py    # convert notebook.py to an .ipynb file and run it 

遵循前面的例子，但是使用了新的nbformat lib版本:

import nbformat
from nbconvert import PythonExporter

def convertNotebook(notebookPath, modulePath):

  with open(notebookPath) as fh:
    nb = nbformat.reads(fh.read(), nbformat.NO_CONVERT)

  exporter = PythonExporter()
  source, meta = exporter.from_notebook_node(nb)

  with open(modulePath, 'w+') as fh:
    fh.writelines(source.encode('utf-8'))

下面是一种不使用ipython就可以从V3或V4 ipynb中提取代码的快速而简单的方法。它不检查单元格类型等。

import sys,json

f = open(sys.argv[1], 'r') #input.ipynb
j = json.load(f)
of = open(sys.argv[2], 'w') #output.py
if j["nbformat"] >=4:
        for i,cell in enumerate(j["cells"]):
                of.write("#cell "+str(i)+"\n")
                for line in cell["source"]:
                        of.write(line)
                of.write('\n\n')
else:
        for i,cell in enumerate(j["worksheets"][0]["cells"]):
                of.write("#cell "+str(i)+"\n")
                for line in cell["input"]:
                        of.write(line)
                of.write('\n\n')

of.close()

我知道这是一个老话题了。我也遇到过同样的问题，想通过命令行将.pynb文件转换为.py文件。

我的搜索把我带到了ipynb-py-convert

通过以下步骤，我能够得到.py文件

安装pip Install ipynb-py-convert 通过命令提示符进入ipynb文件所在目录 输入命令

ipynb-py-convert你的文件名。ipynb YourFilename.py

如:。ipynb-py-convert getting-started-with-kaggle-titanic-problem。ipynb getting-started-with-kaggle-titanic-problem.py

上面的命令将创建一个名为“YourFileName.py”的python脚本，根据我们的示例，它将创建一个“getting-start -with-kaggle-titanic-problem.py”文件

我遇到了这个问题，并试图在网上找到解决方案。虽然我找到了一些解决方案，但它们仍然存在一些问题，例如，当你从仪表板启动一个新笔记本时，烦人的Untitled.txt自动创建。

所以最终我写出了自己的解决方案:

import io
import os
import re
from nbconvert.exporters.script import ScriptExporter
from notebook.utils import to_api_path


def script_post_save(model, os_path, contents_manager, **kwargs):
    """Save a copy of notebook to the corresponding language source script.

    For example, when you save a `foo.ipynb` file, a corresponding `foo.py`
    python script will also be saved in the same directory.

    However, existing config files I found online (including the one written in
    the official documentation), will also create an `Untitile.txt` file when
    you create a new notebook, even if you have not pressed the "save" button.
    This is annoying because we usually will rename the notebook with a more
    meaningful name later, and now we have to rename the generated script file,
    too!

    Therefore we make a change here to filter out the newly created notebooks
    by checking their names. For a notebook which has not been given a name,
    i.e., its name is `Untitled.*`, the corresponding source script will not be
    saved. Note that the behavior also applies even if you manually save an
    "Untitled" notebook. The rationale is that we usually do not want to save
    scripts with the useless "Untitled" names.
    """
    # only process for notebooks
    if model["type"] != "notebook":
        return

    script_exporter = ScriptExporter(parent=contents_manager)
    base, __ = os.path.splitext(os_path)

    # do nothing if the notebook name ends with `Untitled[0-9]*`
    regex = re.compile(r"Untitled[0-9]*$")
    if regex.search(base):
        return

    script, resources = script_exporter.from_filename(os_path)
    script_fname = base + resources.get('output_extension', '.txt')

    log = contents_manager.log
    log.info("Saving script at /%s",
             to_api_path(script_fname, contents_manager.root_dir))

    with io.open(script_fname, "w", encoding="utf-8") as f:
        f.write(script)

c.FileContentsManager.post_save_hook = script_post_save

要使用这个脚本，你可以将它添加到~/.jupyter/jupyter_notebook_config.py:)

请注意，您可能需要重新启动jupyter笔记本/实验室才能工作。

您可以从IPython API完成此操作。

from IPython.nbformat import current as nbformat
from IPython.nbconvert import PythonExporter

filepath = 'path/to/my_notebook.ipynb'
export_path = 'path/to/my_notebook.py'

with open(filepath) as fh:
    nb = nbformat.reads_json(fh.read())

exporter = PythonExporter()

# source is a tuple of python source code
# meta contains metadata
source, meta = exporter.from_notebook_node(nb)

with open(export_path, 'w+') as fh:
    fh.writelines(source)