在jupyter notebook中调用.ipynb文件方式

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,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())

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_importer
import foo
foo.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,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())

2、在主函数中import Ipynb_importer

import matplotlib.pyplot as plt
import 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我们。