Skip to main content

Automatically save matplotlib figures to files and link them in Jupyter notebooks instead of embedding them.

Project description

dietnb (v0.1.3) — The "Notebook Bloat" Instant Diet Pill

PyPI version License: MIT

dietnb addresses the issue of large .ipynb file sizes caused by matplotlib figures being embedded as Base64 data. By saving plots as external PNG files and embedding only image links, dietnb keeps your notebooks lightweight and improves manageability.


Key Features

  • Minimized Notebook Size: Significantly reduces .ipynb file bulk by storing matplotlib figures as external PNG files.
  • Automatic Image Folder Management: Creates and manages image storage directories (e.g., [NotebookFileName]_dietnb_imgs) relative to the notebook's location. (Applies when path detection is successful, e.g., in VS Code; defaults to dietnb_imgs in the current working directory if detection fails.)
  • Automatic Image Updates: When a notebook cell is re-executed, image files generated from its previous run are automatically deleted, ensuring only the latest output is retained.
  • Image Cleanup Function: The dietnb.clean_unused() function allows easy removal of unreferenced image files from the current session.
  • Simple Auto-Activation: The dietnb install command configures dietnb to activate automatically when IPython and Jupyter environments start.

Installation and Activation

1. Install the dietnb package

Execute the following command in your terminal:

pip install dietnb

2. Choose an Activation Method

A. Automatic Activation (Recommended) Run the following command in your terminal once:

dietnb install

This creates a startup script (00-dietnb.py) in your IPython profile directory. After restarting your Jupyter kernel, dietnb will be activated automatically. Images will be saved to a folder based on the notebook's path or to the default dietnb_imgs directory.

To disable automatic activation later, run:

dietnb uninstall

This removes the startup script.

B. Manual Activation (Per Notebook) If you prefer to use dietnb only for specific notebooks or do not want automatic activation, add the following code at the top of your notebook to activate it manually:

import dietnb
dietnb.activate()

Example Usage

With dietnb active, use your matplotlib code as usual.

import matplotlib.pyplot as plt
import numpy as np

# Create a plot
x = np.linspace(0, 10, 100)
plt.plot(x, np.sin(x), label='sin(x)')
plt.plot(x, np.cos(x), label='cos(x)')
plt.title("Trigonometric Functions")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.legend()

plt.show() # On show(), the image is saved to a file, and a link is displayed in the notebook.

Generated images can be found in the [NotebookFileName]_dietnb_imgs folder alongside your notebook, or in the dietnb_imgs folder.


Cleaning Unused Image Files

To remove image files that are no longer in use, execute the following function in a notebook cell:

import dietnb
dietnb.clean_unused()

License

MIT License. See LICENSE for details.


한국어 README (Korean README)

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

dietnb-0.1.3.tar.gz (10.6 kB view details)

Uploaded Source

Built Distribution

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

dietnb-0.1.3-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file dietnb-0.1.3.tar.gz.

File metadata

  • Download URL: dietnb-0.1.3.tar.gz
  • Upload date:
  • Size: 10.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for dietnb-0.1.3.tar.gz
Algorithm Hash digest
SHA256 974d6727a49716b73f4a01d9e5f5de59f727bb7e9d567cb702a0720a52f674f4
MD5 4103cb2ecd6175bebe19627d350d358e
BLAKE2b-256 4892062263cbcf1de6f7c8c0350ef9920ac376a6b8b773fd7787c2b750dd9f07

See more details on using hashes here.

File details

Details for the file dietnb-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: dietnb-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 10.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for dietnb-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 38b28d0f2972cca7c835d3185633a9ea1d61557a75c3857b92a3bc2e3488b4c4
MD5 2ad75daaa3c7561a38aab0a8c7a68151
BLAKE2b-256 34e02d4a12529687688b4b5ceb761856c9819c1678ab0d5afd4ee71e5a2f296d

See more details on using hashes here.

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