Skip to main content

nbmanips allows you easily manipulate notebook files

Project description

nbmanips

logo

PyPI PyPI - License PyPI - Wheel

Ruff Tests codecov

A collections of utilities to manipulate IPython/Jupyter Notebooks via a python script.

I - Usage/Examples

1 - Basic usage

A simple example of using nbmanips:

from nbmanips import Notebook

# Read ipynb file
nb = Notebook.read_ipynb("my_notebook.ipynb")

# delete empty cells
nb.select("empty").delete()

# save ipynb file
nb.to_ipynb("new_notebook.ipynb")

Examples of operations you can perform on a Notebook:

  • replace: Replace matching text in the selected cells
  • tag: Add metadata to the selected cells
  • erase: Erase the content of the selected cells
  • delete: Delete the selected cells
  • keep: Kepp the selected cells

2 - Selectors

To select cells on which to apply the previous operations, you can use:

  • The cell number
nb[0].show()

# OR
nb.select(0).show()
  • A slice object
nb[1:6:2].show()

# OR
selected_cells = slice(1, 6, 2)

nb.select(selected_cells).show()
  • A predefined selector. Available predefined selectors are the following:

    • code_cells / markdown_cells / raw_cells: Selects cells with the given type
    • contains: Selects Cells containing a certain text.
    • is_empty / empty: Selects empty cells
    • has_output: Checks if the cell has any output
    • has_output_type: Select cells that have a given output_type
    • has_slide_type: Select cells that have a given slide type
    • is_new_slide: Selects cells where a new slide/subslide starts
    • has_byte_size: Selects cells with byte size within a given range of values.
# Show Markdown Cells
nb.select('markdown_cells').show()

# Show Cells containing the equal sign
nb.select('contains', '=').show()
  • A function that takes a Cell object and returns True if the cell should be selected
# Show Cells with length > 10
nb.select(lambda cell: len(cell.source) > 10).show()
  • A list of Selectors
# Show Empty Markdown Cells
nb.select(['markdown_cells', 'is_empty']).show()

# Show Markdown or Code Cells
nb.select(['markdown_cells', 'code_cells'], type='or').show()

3 - Export Formats

You can export the notebooks to these formats:

  • to_ipynb
  • to_dbc
  • to_html
  • to_slides (using reveal.js)
  • to_md (to markdown)
  • to_py (to python)
  • to_text (textual representation of the notebook)

4 - Slide manipulations

You can manipulate the slides by tagging which cells to keep and which to skip. The following actions are available:

  • set_slide
  • set_subslide
  • set_skip
  • set_fragment
  • set_notes

A neat trick is to use auto_slide method to automatically create slides out of your notebook:

from nbmanips import Notebook

# Read ipynb file
nb = Notebook.read_ipynb("my_notebook.ipynb")

# Automatically create slides
nb.auto_slide()

# Export to Reveal.js slides (HTML)
nb.to_slides("new_slides.slides.html", theme='beige')

II - CLI

1 - Show a notebook

To get a readable representation of the notebook

nb show my_notebook.ipynb

Other options are available. For example, you can customize the style, weather to truncate the output of cells:

nb show -s double -t 100 my_notebook.ipynb

To show a subset of the notebook cells, you can perform a select operation:

nb select 0:3 | nb show my_notebook.ipynb

# Or if you're using negative indexes ( to show the last 3 cells )
nb select [-3:] | nb show my_notebook.ipynb

2 - Basic usage

A simple example of using nbmanips via the cli:

# delete empty cells
nb select empty | nb delete my_notebook.ipynb --output new_notebook.ipynb

# Or equivalently:
nbmanips select empty | nbmanips delete my_notebook.ipynb --output new_notebook.ipynb

You could also show the table of contents of a certain notebook:

nb toc nb.ipynb

Or split a notebook into multiple notebooks:

nb split nb.ipynb 5,9

3 - Export Formats

You can convert a notebook to the following formats:

  • html: nb convert html my_notebook.ipynb --output my_notebook.html
  • slides (using reveal.js): nb convert slides my_notebook.ipynb --output my_notebook.slides.html
  • md (to markdown): nb convert md my_notebook.ipynb --output my_notebook.md
  • py (to python): nb convert py my_notebook.ipynb --output my_notebook.py

4 - Slide manipulations

# Automatically set slides
nb auto-slide -f my_notebook.ipynb

# Generate a my_notebook.slides.html file
nb convert slides my_notebook.ipynb

Or if you do not wish to modify your original notebook:

# Automatically set slides
nb auto-slide my_notebook.ipynb -o my_temp_notebook.ipynb

# Generate a my_notebook.slides.html file
nb convert slides my_temp_notebook.ipynb -o my_notebook.slides.html

If you need more details you can check the --help option:

nbmanips --help

III - Optional Requirements

There are optional requirements you may want to install to render images in the terminal. The results, however, are not always convincing. If you want to enable this feature, you can just run the following command:

pip install nbmanips[images]

Roadmap

  • Add Custom Templates

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nbmanips-2.1.3.tar.gz (33.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nbmanips-2.1.3-py3-none-any.whl (41.6 kB view details)

Uploaded Python 3

File details

Details for the file nbmanips-2.1.3.tar.gz.

File metadata

  • Download URL: nbmanips-2.1.3.tar.gz
  • Upload date:
  • Size: 33.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for nbmanips-2.1.3.tar.gz
Algorithm Hash digest
SHA256 413dcf330c022d3b9a33767ed9b130b1e2fce42eac08b22b2dd32cb54718d0ec
MD5 33adffc143d8c85710196588504c4054
BLAKE2b-256 a0015c6df54130ed41c8730fe554adf69fabdbf26b6bfb4f55aac97e16721ed4

See more details on using hashes here.

Provenance

The following attestation bundles were made for nbmanips-2.1.3.tar.gz:

Publisher: publish.yml on hmiladhia/nbmanips

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nbmanips-2.1.3-py3-none-any.whl.

File metadata

  • Download URL: nbmanips-2.1.3-py3-none-any.whl
  • Upload date:
  • Size: 41.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for nbmanips-2.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4b63ebd6a6564140510977ed0c6fafb7a090420e572f50f8acfa2bb6cd2b4a4d
MD5 29e039e43697c35996036c80a6fa16c6
BLAKE2b-256 27bebf3b6a9ba62f380e28b87b6ce482d2fdb535f1da91ec87903355bc5f6584

See more details on using hashes here.

Provenance

The following attestation bundles were made for nbmanips-2.1.3-py3-none-any.whl:

Publisher: publish.yml on hmiladhia/nbmanips

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page