在jupyter notebook中调用.ipynb文件方式

时间:2021-05-22

正常来说在jupyter notebook 中只能调用.py文件,要想要调用jupyter notebook自己的文件会报错。

Jupyter Notebook官网介绍了一种简单的方法:

http://jupyter-notebook.readthedocs.io/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,typesfrom IPython import get_ipythonfrom nbformat import readfrom IPython.core.interactiveshell import InteractiveShellclass 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_pathclass 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 modsys.meta_path.append(NotebookFinder())

调用jupyter notebook module

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。

新建一个文件foo.ipynb

def foo(): print("foo")

再新建一个ipynb文件,调用foo这个文件

import Ipynb_importerimport foofoo.foo()

运行结果如下:

importing Jupyter notebook from foo.ipynb
foo

补充知识:jupyter notebook_主函数文件如何调用类文件

使用jupyter notebook编写python程序,rw_visual.jpynb是写的主函数,random_walk.jpynb是类(如图)。在主函数中将类实例化后运行会报错,经网络查找解决了问题,缺少Ipynb_importer.py这样一个链接文件。

解决方法:

1、在同一路径下创建名为Ipynb_importer.py的文件:File-->download as-->Python(.py),该文件内容如下:

#!/usr/bin/env python# coding: utf-8# In[ ]: import io, os,sys,typesfrom IPython import get_ipythonfrom nbformat import readfrom 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 modsys.meta_path.append(NotebookFinder())

2、在主函数中import Ipynb_importer

import matplotlib.pyplot as pltimport Ipynb_importer from random_walk import RandomWalk rw = RandomWalk()rw.fill_walk()plt.scatter(rw.x_values, rw.y_values, s=15)plt.show()

3、运行主函数,调用成功

ps:random_walk.jpynb文件内容如下:

from random import choice class RandomWalk(): def __init__(self, num_points=5000): self.num_points = num_points self.x_values = [0] self.y_values = [0] def fill_walk(self): while len(self.x_values) < self.num_points: x_direction = choice([1,-1]) x_distance = choice([0,1,2,3,4]) x_step = x_direction * x_distance y_direction = choice([1,-1]) y_distance = choice([0,1,2,3,4]) y_step = y_direction * y_distance if x_step == 0 and y_step == 0: continue next_x = self.x_values[-1] + x_step next_y = self.y_values[-1] + y_step self.x_values.append(next_x) self.y_values.append(next_y)

运行结果:

以上这篇在jupyter notebook中调用.ipynb文件方式就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持。

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