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)

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 

%notebook foo。ipynb magic命令将当前IPython导出到“foo.ipynb”。

更多信息输入%笔记本?

使用nbconvert 6.07和jupyter client 6.1.12:

转换jupyter笔记本到python脚本

$ jupyter nbconvert mynotebook.ipynb --to python

转换jupyter笔记本到python脚本指定输出文件名

$ jupyter nbconvert mynotebook.ipnb --to python --output myscript.py

我已经构建了一个函数来实现这一点。用户不需要安装任何东西就可以使用它。

#!/usr/bin/python


# A short routine to convert a Jupyter Notebook to a Python file

import json

def ipynb_to_py(input_ipynb_file,output_py_file=None):
    """
    Generate a Python script (.py) that includes all source code from the input Jupyter notebook (.ipynb).
    
    The user can input a Jupyter Notebook file from the current working directory or from a path.
    
    If the name for output Python file is not specified, 
    the output file name will copy the file name of the input Jupyter Notebook, 
    but the file exention will be changed from ".ipynb" chanegd to ".py".
    And the output Python file will be saved at the same directory of the input Jupyter Notebook.
    For example:
    ipynb_to_py("test-jupyternotebook.ipynb")
    ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb")
    
    The user can also specify an output file name that ends with ".py".
    If the output file name is provided, but no path to output file is added, 
    the file will be saved at the current working directory.
    For example:
    ipynb_to_py("test-jupyternotebook.ipynb","test1.py")
    ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb","test2.py")
        
    The user can save out the file at a target directory by adding a path to the output file.
    For example: 
    ipynb_to_py("test-jupyternotebook.ipynb","./test-outputdir/test3.py")
    ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb","./test-output-dir/test4.py")
    
    This function does not edit or delete the original input Jupyter Notebook file.
    
    Args:
    -----
        input_ipynb_file: The file name string for the Jupyter Notebook (ends with ".ipynb")
        output_py_file (optional): The file name for Python file to be created (ends with ".py"). 
    
    Returns:
    --------
        A Python file containing all source code in the Jupyter Notebook.
        
    Example usages:
    ---------------
        ipynb_to_py("test-jupyternotebook.ipynb")
        ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb")
        ipynb_to_py("test-jupyternotebook.ipynb","test1.py")
        ipynb_to_py("test-jupyternotebook.ipynb","./test-outputdir/test2.py")
        ipynb_to_py("test-jupyternotebook.ipynb","./test-outputdir/test3.py")
        ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb","./test-output-dir/test4.py")
             
    """
    # Check if the input file is a Jupyter Notebook
    if input_ipynb_file.endswith(".ipynb"):
        
        # Open the input Jupyter Notebook file
        notebook = open(input_ipynb_file)
        
        # Read its content in the json format
        notebook_content = json.load(notebook)

        # Only extract the source code snippet from each cell in the input Jupyter Notebook
        source_code_snippets = [cell['source'] for cell in notebook_content['cells']]
        
        # If the name for output Python file is not specified,
        # The name of input Jupyter Notebook will be used after changing ".ipynb" to ".py".
        if output_py_file == None:
            output_py_file = input_ipynb_file.split('.ipynb')[0]+".py"
        else:
            pass

        # Create a Python script to save out all the extracted source code snippets
        output_file = open(output_py_file,'w')

        # Print out each line in each source code snippet to the output file
        for snippet in source_code_snippets:
            for line in snippet:
                # Use end='' to avoid creating unwanted gaps between lines
                print(line,end = '',file = output_file)
            # At end of each snippet, move to the next line before printing the next one
            print('',sep = '\n',file=output_file)

        # Close the output file
        output_file.close()
        print("The path to output file:",output_py_file)
        
    else:
        print("The input file must be a Jupyter Notebook (in .ipynb format)!")
        
def main():
    pass

if __name__ == "__main__":
    main()

如果你不想每次保存时都输出一个Python脚本，或者你不想重新启动IPython内核:

在命令行中，你可以使用nbconvert:

$ jupyter nbconvert --to script [YOUR_NOTEBOOK].ipynb

作为一种技巧，您甚至可以通过预先挂起在IPython笔记本中调用上述命令!(用于任何命令行参数)。在笔记本里:

!jupyter nbconvert --to script config_template.ipynb

在添加——to脚本之前，选项是——to python或——to=python，但在转向语言无关的笔记本系统时，它被重命名了。