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调用jupyter notebook文件内的函数一种简单方法

 拽拽的橡皮擦 2017-05-14

python开发环境jupyter notebook良好的交互式和模块化受到很多python开发人员的青睐,但是jupyter notebook是以json格式保存文件内容的,而不是python文件那样的普通格式,所以不能直接被python解析器解析,如何调用.ipynb中的module也成为一个问题。本文介绍一种方法,使得只要在我们的工作目录下放置一个python文件,就可以正常调用其他jupyter notebook文件。

Jupyter Notebook官网介绍了一种简单的方法:http://jupyter-notebook./en/latest/examples/Notebook/Importing%20Notebooks.html

添加jupyter notebook解析文件

    首先,创建一个python文件,例如Ipynb_importer.py,代码如下:

import io, os,sys,types from IPython import get_ipython from nbformat import read from IPython.core.interactiveshell import InteractiveShell class NotebookFinder(object): '''Module finder that locates Jupyter Notebooks''' def __init__(self): self.loaders = {} def find_module(self, fullname, path=None): nb_path = find_notebook(fullname, path) if not nb_path: return key = path if path: # lists aren't hashable key = os.path.sep.join(path) if key not in self.loaders: self.loaders[key] = NotebookLoader(path) return self.loaders[key] def find_notebook(fullname, path=None): '''find a notebook, given its fully qualified name and an optional path This turns 'foo.bar' into 'foo/bar.ipynb' and tries turning 'Foo_Bar' into 'Foo Bar' if Foo_Bar does not exist. ''' name = fullname.rsplit('.', 1)[-1] if not path: path = [''] for d in path: nb_path = os.path.join(d, name '.ipynb') if os.path.isfile(nb_path): return nb_path # let import Notebook_Name find 'Notebook Name.ipynb' nb_path = nb_path.replace('_', ' ') if os.path.isfile(nb_path): return nb_path class NotebookLoader(object): '''Module Loader for Jupyter Notebooks''' def __init__(self, path=None): self.shell = InteractiveShell.instance() self.path = path def load_module(self, fullname): '''import a notebook as a module''' path = find_notebook(fullname, self.path) print ('importing Jupyter notebook from %s' % path) # load the notebook object with io.open(path, 'r', encoding='utf-8') as f: nb = read(f, 4) # create the module and add it to sys.modules # if name in sys.modules: # return sys.modules[name] mod = types.ModuleType(fullname) mod.__file__ = path mod.__loader__ = self mod.__dict__['get_ipython'] = get_ipython sys.modules[fullname] = mod # extra work to ensure that magics that would affect the user_ns # actually affect the notebook module's ns save_user_ns = self.shell.user_ns self.shell.user_ns = mod.__dict__ try: for cell in nb.cells: if cell.cell_type == 'code': # transform the input to executable Python code = self.shell.input_transformer_manager.transform_cell(cell.source) # run the code in themodule exec(code, mod.__dict__) finally: self.shell.user_ns = save_user_ns return mod sys.meta_path.append(NotebookFinder())
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调用jupyter notebook module

    在我们的jupyter notebook文件里调用Ipynb_importer.py,接下来我们就可以像调用普通python文件一样调用其他.ipynb文件里的module了,例如有一个IpynbModule.ipynb文件,里面定义了一个foo函数:

被调用函数

调用例子如下:

调用ipynb函数

    只要在我们的工作目录下放置Ipynb_importer.py文件,就可以正常调用所有的jupyter notebook文件。 这种方法的本质就是使用一个jupyter notenook解析器先对.ipynb文件进行解析,把文件内的各个模块加载到内存里供其他python文件调用。

参考资料:

http://jupyter-notebook./en/latest/examples/Notebook/Importing%20Notebooks.html

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