jupyter notebook - Convert .json to ipynb

Jupyter notebook - Convert .json to ipynb

Converting a JSON file to an IPython Notebook (.ipynb) file involves creating a valid JSON structure that follows the IPython Notebook format. The IPython Notebook format is essentially a JSON document.

Here's a basic example to demonstrate the structure of a simple IPython Notebook in JSON format:

{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "print('Hello, World!')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# This is a Markdown cell" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.11" } }, "nbformat": 4, "nbformat_minor": 5 } 

In this example:

  • The cells array contains individual cells, where each cell has a cell_type (either "code" or "markdown"), metadata, and source (the content of the cell).
  • metadata at the notebook level specifies information about the kernel, language, and other properties.
  • nbformat and nbformat_minor specify the version of the notebook format.

You can create a JSON file following this structure. You might want to generate this JSON programmatically based on your data or use existing tools.

If your data is in a JSON file (example.json), and you want to convert it to an IPython Notebook, you can use the nbformat Python library. Install it using:

pip install nbformat 

Then, you can use the following Python code:

import json import nbformat # Load your JSON data with open('example.json') as json_file: json_data = json.load(json_file) # Convert JSON to IPython Notebook format notebook = nbformat.v4.new_notebook() notebook.cells = json_data.get('cells', []) notebook.metadata = json_data.get('metadata', {}) notebook.nbformat = json_data.get('nbformat', 4) notebook.nbformat_minor = json_data.get('nbformat_minor', 5) # Save the notebook to a file with open('output.ipynb', 'w') as nb_file: nbformat.write(notebook, nb_file) 

This script reads your JSON file, extracts the necessary information, and creates a new IPython Notebook. It then writes the notebook to a new file (output.ipynb). Adjust the file paths and modify the script based on your specific requirements.

Examples

  1. Convert JSON to IPython Notebook Format - Using nbformat

    import nbformat # Load JSON content with open('input.json', 'r') as json_file: json_content = json_file.read() # Parse JSON to notebook format notebook = nbformat.reads(json_content, as_version=4) # Save notebook to IPython notebook (.ipynb) file nbformat.write(notebook, 'output.ipynb') 

    Description: Uses the nbformat library to convert JSON content to IPython notebook format and saves it as an .ipynb file.

  2. Convert JSON to IPython Notebook - Using jupytext

    jupytext --to notebook input.json --output output.ipynb 

    Description: Utilizes the jupytext command-line tool to convert a JSON file to an IPython notebook.

  3. Convert JSON to Notebook with Jupyter nbconvert - Command Line

    jupyter nbconvert --to notebook --output output.ipynb --execute input.json 

    Description: Uses Jupyter's nbconvert command-line tool to convert and execute a JSON file to an IPython notebook.

  4. Convert JSON to Jupyter Notebook - Using nbformat and ipykernel

    import nbformat from ipykernel import kernelspec # Load JSON content with open('input.json', 'r') as json_file: json_content = json_file.read() # Parse JSON to notebook format notebook = nbformat.reads(json_content, as_version=4) # Create a kernelspec (replace 'python3' with the appropriate kernel) notebook['metadata']['kernelspec'] = kernelspec.get_kernel_spec('python3').to_dict() # Save notebook to IPython notebook (.ipynb) file nbformat.write(notebook, 'output.ipynb') 

    Description: Converts JSON content to IPython notebook format, includes a kernelspec, and saves it as an .ipynb file.

  5. Convert JSON to Jupyter Notebook - Using nbformat and papermill

    import nbformat import papermill as pm # Load JSON content with open('input.json', 'r') as json_file: json_content = json_file.read() # Parse JSON to notebook format notebook = nbformat.reads(json_content, as_version=4) # Save notebook to IPython notebook (.ipynb) file nbformat.write(notebook, 'output.ipynb') # Alternatively, execute the notebook using papermill pm.execute_notebook('output.ipynb', 'executed_output.ipynb') 

    Description: Converts JSON content to IPython notebook format using nbformat and optionally executes the notebook using papermill.

  6. Convert JSON to Notebook with Jupyter nbconvert - Using Python Script

    from nbconvert import PythonExporter import nbformat # Load JSON content with open('input.json', 'r') as json_file: json_content = json_file.read() # Parse JSON to notebook format notebook = nbformat.reads(json_content, as_version=4) # Convert notebook to Python script python_exporter = PythonExporter() python_code, _ = python_exporter.from_notebook_node(notebook) # Save Python script with open('output.py', 'w') as python_file: python_file.write(python_code) 

    Description: Converts JSON content to a Python script using Jupyter's nbconvert library.

  7. Convert JSON to Interactive HTML - Using nbconvert

    jupyter nbconvert --to html --output output.html input.json 

    Description: Converts a JSON file to an interactive HTML file using Jupyter's nbconvert tool.


More Tags

flutter-widget iis-10 periodictimer angular-material-7 fabricjs namespaces kdiff3 i18next multi-step gitpython

More Programming Questions

More Livestock Calculators

More Physical chemistry Calculators

More Genetics Calculators

More Biology Calculators