我正在考虑使用*。Ipynb文件作为真相的来源,并以编程方式将它们“编译”为.py文件,用于计划的作业/任务。

我所理解的做到这一点的唯一方法是通过GUI。有没有办法通过命令行来实现?


当前回答

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)

其他回答

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'))

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

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 

下面的示例将一个名为a_notebook的Iron Python Notebook转换为。ipynb转换到一个名为a_python_script.py的python脚本中,省略带有关键字remove的单元格,我手动将其添加到我不想在脚本中结束的单元格中,省略了可视化和其他步骤,一旦我完成了笔记本,我不需要由脚本执行。

import nbformat as nbf
from nbconvert.exporters import PythonExporter
from nbconvert.preprocessors import TagRemovePreprocessor

with open("a_notebook.ipynb", 'r', encoding='utf-8') as f:
    the_notebook_nodes = nbf.read(f, as_version = 4)

trp = TagRemovePreprocessor()

trp.remove_cell_tags = ("remove",)

pexp = PythonExporter()

pexp.register_preprocessor(trp, enabled= True)

the_python_script, meta = pexp.from_notebook_node(the_notebook_nodes)

with open("a_python_script.py", 'w', encoding='utf-8') as f:
    f.writelines(the_python_script)

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)