How to execute a PY file from a IPYNB file on the Jupyter notebook

Question

I am working on a Python Notebook and I would like that large input code  input  pack into a     PY  files and call this files from the notebook    The action of running a   PY  file from the Notebook is known to me and the command varies between Linux or Windows  But when I do this action and execute the   PY  file from the notebook  it does not recognize any existing library or variable loaded in the notebook  it s like the   PY  file start from zero        Is there any way to fix this   A possible simplified example of the problem would be the following   In 1   import numpy as np import matplotlib pyplot as plt  In 2   def f x       return np exp -x    2   In 3   x   np linspace -1  3  100   In 4    run script py   Where  script py  has the following content   plt plot x  f x   plt xlabel  Eje  x   fontsize 16  plt ylabel   f x    fontsize 16  plt title  Funcion  f x        In the real problem  the file     PY  does not have 4 lines of code  it has enough more

User · Answer

the below lines would also work   python script py

User · Answer

python  script py   replace script py with your real file name  DON T forget

User · Answer

In the  run magic documentation you can find      -i run the file in IPython   s namespace instead of an empty one  This is useful if you are experimenting with code written in a text editor which depends on variables defined interactively    Therefore  supplying -i does the trick      run -i  script py      The  correct  way to do it  Maybe the command above is just what you need  but with all the attention this question gets  I decided to add a few more cents to it for those who don t know how a more pythonic way would look like  The solution above is a little hacky  and makes the code in the other file confusing  Where does this x variable come from  and what is the f function     I d like to show you how to do it without actually having to execute the other file over and over again  Just turn it into a module with its own functions and classes and then import it from your Jupyter notebook or console  This also has the advantage of making it easily reusable and jupyters contextassistant can help you with autocompletion or show you the docstring if you wrote one  If you re constantly editing the other file  then autoreload comes to your help   Your example would look like this  script py  import matplotlib pyplot as plt  def myplot f  x                param f  function to plot      type f  callable      param x  values for x      type x  list or ndarray      Plots the function f x                 yes  you can pass functions around as if       they were ordinary variables  they are      plt plot x  f x       plt xlabel  Eje  x   fontsize 16      plt ylabel   f x    fontsize 16      plt title  Funcion  f x       Jupyter console  In  1   import numpy as np  In  2    load ext autoreload  In  3    autoreload 1  In  4    aimport script  In  5   def f x               return np exp -x    2                   In  6   x   np linspace -1  3  100   In  7   script myplot f  x   In  8    script myplot Signature  script myplot f  x  Docstring   param f  function to plot  type f  callable  param x  x values  type x  list or ndarray File             script py Type       function

User · Answer

Maybe not very elegant  but it does the job   exec open  script py   read

[python] How to execute a * .PY file from a * .IPYNB file on the Jupyter notebook?

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