目录
为了保证代码的简洁性和良好的扩展性，与其一个文件里充斥着几百行的代码感动自己，倒不如把可拆解的部分分成几个文件方便后续自己和他人理解。
1. 调用XX.py文件
保证XX.py文件和操作文件在一个目录下，然后在操作文件中import XX（或者from XX import *），后续就调用XX中自己需要的函数func或者类class——XX.func()（或者func()）。
2. 调用XX.ipynb文件
2.1 直接法
把XX.ipynb导成.py文件（File– download as– Python(.py)），参照1.中方法，调用。
适用条件：调用1个or不超过3个.ipynb文件
2.2 间接法
（1）保存XX.ipynb文件
（2）创建Ipynb_importer.py文件
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())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。
（3）创建主函数所在的.ipynb文件
import Ipynb_importer
from XX import *适用条件：调用多个.ipynb文件
.ipynb调用同类型的文件还是需要费些周折的，不过既然选择了TA，多为TA费些心难道不更能体现对TA的爱么 >_<
哈哈哈，说完上面这句话，突然意识到今天也是情人节——为所爱花心思，给所爱以陪伴，愿大家都能找到那个TA，情人节快乐 ✿✿ヽ(°▽°)ノ✿