Файл ipynb в python

fix docs: Python code snippet formatting

from ipynb.fs.full.server import X, Y, X

import ipynb.fs # Boilerplate required # Do a full import from .full.notebook1 import foo # Do a definitions-only import from .defs.notebook1 import bar

 "cells": [  "cell_type": "markdown", "id": "7ca6b82b", "metadata": <>, "source": [ "## Example notebook" ] >,  "cell_type": "code", "execution_count": 1, "id": "73f3924a", "metadata": <>, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import pandas as pd" ] >,  "cell_type": "code", "execution_count": 3, "id": "3a691d7f", "metadata": <>, "outputs": [  "data":  "image/png": "iVBORw0KGgoA . deducted for readability . +bwAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] >, "metadata":  "needs_background": "light" >, "output_type": "display_data" > ], "source": [ "_ = plt.plot([4,2,1,3])" ] >,  "cell_type": "code", "execution_count": 4, "id": "934cc473", "metadata": <>, "outputs": [  "data":  "text/html": [ " \n", " \n", " .dataframe tbody tr th:only-of-type \n", " vertical-align: middle;\n", " >\n", "\n", " .dataframe tbody tr th \n", " vertical-align: top;\n", " >\n", "\n", " .dataframe thead th \n", " text-align: right;\n", " >\n", "\n", "\"1\">\"dataframe\">\n"," \n", " \"text-align: right;\">\n","\n"," \n"," \n","\n"," \n"," \n", " \n", " \n"," \n"," \n","\n"," \n", " \n"," \n"," \n","\n"," \n", " \n"," \n"," \n","\n","\n","
  
   
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The notebook is a collection of cells. Each cell has information about the source and outputs (with several formats). Images are encoded with Base64.

We can use the User Interface provided in the Jupyter Notebook to export the notebook to Python .py file. Please click File -> Download as -> Python (.py) .

The file notebook.py will be downloaded from the web browser, its content is below:

#!/usr/bin/env python # coding: utf-8 # ## Example notebook # In[1]: import matplotlib.pyplot as plt import pandas as pd # In[3]: _ = plt.plot([4,2,1,3]) # In[4]: pd.DataFrame("a": [1,2,3], "b": [4,5,6]>) # In[ ]: 

Only Markdown and Python code is included in the Python script. Outputs are omitted. There are added comments with information about cells: # In[1] . The Markdown text is commented on. The shebang for Python is added to the file beginning.

2. Convert Jupyter Notebook to Python in the command line

You can export your notebook to the .py file using the command line. There is a nbconvert tool available. It is installed with Jupyter Notebook because it is used internally (in the Download as functionality).

jupyter nbconvert --to python notebook.ipynb 

[NbConvertApp] Converting notebook notebook.ipynb to python [NbConvertApp] Writing 233 bytes to notebook.py 

The resulting Python file has the same content as created with User Interface.

3. Use jupytext to pair the notebook with the Python script

There is a jupytext package that can be used to synchronize the Jupyter Notebook file with a plain Python file — you will have the same code in both files .pynb and .py . What is more, there is a command line version available.

You can install jupytext with the below commands:

pip install jupytext # or conda install jupytext -c conda-forge 

After installation, there will be a new menu available under File . You can select how your notebook should be paired with the Python script:

The Python script from the example notebook in a light format is presented below:

# ## Example notebook import matplotlib.pyplot as plt import pandas as pd _ = plt.plot([4,2,1,3]) pd.DataFrame("a": [1,2,3], "b": [4,5,6]>) 

The same script in a percent format is below. Cells are delimited with # %% This format is supported by many IDEs (VS Code, Spyder, PyCharm).

# %% [markdown] # ## Example notebook # %% import matplotlib.pyplot as plt import pandas as pd # %% _ = plt.plot([4,2,1,3]) # %% pd.DataFrame("a": [1,2,3], "b": [4,5,6]>) # %% 

The Python script will be updated whenever you will save a notebook file.

You can obtain the Python script from a notebook with the command line:

# convert to Python script with light format jupytext --to py notebook.ipynb # convert to Python script with percent format jupytext --to py:percent notebook.ipynb 

The jupytext package works well with Python, Julia, and R. You can read more about its options in their documentation.

Summary

The Jupyter Notebook is a great place to explore with code and share with others. It uses the .ipynb file to store code, Markdown, and outputs as JSON. Many times we will need to export the notebook to plain Python script. It can be done using the User Interface or command line. There are two packages worth remembering: nbconvert and jupytext .

Just a side note, if you would like to schedule Jupyter Notebook for periodic execution, you don’t need to convert it to Python script. You can schedule the automatic execution of the notebook; please check our article about Jupyter Notebook scheduling.

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Convert JSON IPython notebook (.ipynb) to .py file

From the notebook menu you can save the file directly as a python script. Go to the ‘File’ option of the menu, then select ‘Download as’ and there you would see a ‘Python (.py)’ option.

Another option would be to use nbconvert from the command line:

jupyter nbconvert --to script 'my-notebook.ipynb' 

An additional way to call nbconvert it is to do it automatically on save with the jupyter_notebook_confg.py file — See stackoverflow.com/a/25765194/1653571

I don’t seem to have ipython or jupyter installed, so I’m unaware of how to get to the notebook menu.

@DaveGoldsmith Run pip install jupyter . Once it’s installed, go to your project directory and run jupyter notebook . It should open a web browser automatically, otherwise open one and go to http://localhost:8888/notebooks/ to start creating or working with notebooks.

Doesn’t work with ipython [8.7.0] . Returns warnings: Unrecognized alias: ‘to’, it will have no effect. and File ‘nbconvert’ doesn’t exist

According to https://ipython.org/ipython-doc/3/notebook/nbconvert.html you are looking for the nbconvert command with the —to script option.

ipython nbconvert notebook.ipynb --to script 

Getting this notice now, FYI: [TerminalIPythonApp] WARNING | Subcommand ‘ipython nbconvert’ is deprecated and will be removed in future versions. [TerminalIPythonApp] WARNING | You likely want to use ‘jupyter nbconvert’ in the future

@Matt ipython has been renamed to jupyter. The message is telling you that the old executable name is deprecated. The convert command itself isn’t.

In short: This command-line option converts mynotebook.ipynb to python code:

jupyter nbconvert mynotebook.ipynb —to python

note: this is different from above answer. ipython has been renamed to jupyter . the old executable name (ipython) is deprecated.

More details: jupyter command-line has an nbconvert argument which helps convert notebook files (*.ipynb) to various other formats.

You could even convert it to any one of these formats using the same command but different —to option:

• asciidoc
• custom
• html
• latex. (Awesome if you want to paste code in conference/journal papers).
• markdown
• notebook
• pdf
• python
• rst
• script
• slides. (Whooh! Convert to slides for easy presentation 😊)

the same command jupyter nbconvert —to latex mynotebook.ipynb

For more see jupyter nbconvert —help . There are extensive options to this. You could even to execute the code first before converting, different log-level options etc.

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