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jupyterpidaq_menu

Convenience menu for JupyterPiDAQ that runs in Jupyter Lab and Notebook >=7. This menu provides code snippets that will activate JupyterPiDAQ functions. They will not work if JupyterPiDAQ has not been imported into the currently running notebook kernel via from jupyterpidaq.DAQinstance import *.

Menu items:

  • Insert new run after selected cell
  • Select data to show in a table...
  • Calculate a new column...
  • Insert new plot after selected cell
  • Insert new fit after selected cell

Requirements

  • JupyterLab >= 4.0.0
  • jupyterpidaq >=0.8.1
  • jupyter-pandas-gui >=0.9.0

Install

To install the extension, execute:

pip install jupyterpidaq_menu

Uninstall

To remove the extension, execute:

pip uninstall jupyterpidaq_menu

Contributing

Development install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jupyterpidaq_menu directory
# Install package in development mode
pip install -e "."
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Development uninstall

pip uninstall jupyterpidaq_menu

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named jupyterpidaq-menu within that folder.

Testing the extension (not complete)

Frontend tests

This extension is using Jest for JavaScript code testing.

To execute them, execute:

jlpm
jlpm test

Integration tests

This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.

More information are provided within the ui-tests README.

Packaging the extension

See RELEASE

Metadata

Release files for jupyterpidaq-menu 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for jupyterpidaq-menu 0.1.0
File Size Uploaded
jupyterpidaq_menu-0.1.0.tar.gz 1.3 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for jupyterpidaq-menu 0.1.0
File Interpreter ABI Platform
jupyterpidaq_menu-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.3 MB

Release files / jupyterpidaq_menu-0.1.0.tar.gz

Download URL jupyterpidaq_menu-0.1.0.tar.gz
Size 1.3 MB
Tags Source
SHA-256 checksum
How to use checksums
080bd05a0fda7afccd0c05278f9f5025e5ae0333129edbcff824c5a078bc4854
BLAKE2b-256 checksum
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02ffbc5edeadda2a1d2b14430f36f2323ccc63ba00e5e08bd33c54d7317fccf1
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.12

Release files / jupyterpidaq_menu-0.1.0-py3-none-any.whl

Download URL jupyterpidaq_menu-0.1.0-py3-none-any.whl
Size 17.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
cfe4754ca6f4caffba6428d2970a5b4b1d93025a8ca277abe1a6983948c34d8a
BLAKE2b-256 checksum
How to use checksums
f2727a7f6a8cd78ff62a0f474889d8a0d86ffdeeb95ee75fd573fb84a8285d2a
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.12

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

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