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توضیحات

A Custom Jupyter Widget Library

ویژگی	مقدار
سیستم عامل	-
نام فایل	deephaven-ipywidgets-0.2.2
نام	deephaven-ipywidgets
نسخه کتابخانه	0.2.2
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Deephaven Data Labs LLC
ایمیل نویسنده	operations@deephaven.io
آدرس صفحه اصلی	https://github.com/deephaven/deephaven-ipywidgets
آدرس اینترنتی	https://pypi.org/project/deephaven-ipywidgets/
مجوز	BSD

# deephaven-ipywidgets Deephaven Community IPython Widget Library ## Installation You can install using `pip`: ```bash pip install deephaven-ipywidgets ``` If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension: ```bash jupyter nbextension enable --py [--sys-prefix|--user|--system] deephaven-ipywidgets ``` ## Usage ### Starting the server First you'll need to start the [Deephaven server](https://github.com/deephaven/deephaven-core/blob/d73ef01cdf6fda43f7d03110995add26d16d4eae/py/embedded-server/README.md). ```python # Start up the Deephaven Server from deephaven_server import Server s = Server(port=8080) s.start() ``` ### Display Tables Pass the table into a `DeephavenWidget` to display a table: ```python # Create a table and display it from deephaven import empty_table from deephaven_ipywidgets import DeephavenWidget t = empty_table(1000).update("x=i") display(DeephavenWidget(t)) ``` You can also pass in the size you would like the widget to be: ```python # Specify a size for the table display(DeephavenWidget(t, width=100, height=250)) ``` ## Development Installation Before starting, you will need [python3](https://www.python.org/downloads/), [node](https://nodejs.org/en/download/), and [yarn](https://classic.yarnpkg.com/lang/en/docs/install/) installed. Create and source a dev python venv environment: ```bash export JAVA_HOME=/Library/Java/JavaVirtualMachines/openjdk-11.jdk/Contents/Home python3 -m venv .venv source .venv/bin/activate pip install --upgrade pip setuptools pip install deephaven-server jupyter jupyterlab jupyter-packaging ``` After initial installation/creation, you can just do ```bash source .venv/bin/activate ``` Install the python. This will also build the TS package. ```bash pip install -e ".[test, examples]" ``` When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command: ``` jupyter labextension develop --overwrite . yarn run build ``` For classic notebook, you need to run: ``` jupyter nbextension install --sys-prefix --symlink --overwrite --py deephaven_ipywidgets jupyter nbextension enable --sys-prefix --py deephaven_ipywidgets ``` Note that the `--symlink` flag doesn't work on Windows, so you will here have to run the `install` command every time that you rebuild your extension. For certain installations you might also need another flag instead of `--sys-prefix`, but we won't cover the meaning of those flags here. For running in VS Code, you need to run the classic notebook steps, as well as set up the VS Code environment: 1. Create a `.env` file with your `JAVA_HOME` variable set, e.g. ```bash JAVA_HOME=/Library/Java/JavaVirtualMachines/openjdk-11.jdk/Contents/Home ``` 2. Create a new notebook (.ipynb) or open an existing notebook file (such as [example.ipynb](./example.ipynb)) 3. In the notebook, make sure your `.venv` Python environment is selected - either use the dropdown menu in the top right, or hit `Ctrl + P` then type `> Select Kernel` and select the `Notebook: Select Notebook Kernel` option and choose `.venv`. ### How to see your changes #### Typescript: If you use JupyterLab to develop then 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 widget. ```bash # Watch the source directory in one terminal, automatically rebuilding when needed yarn run watch # Run JupyterLab in another terminal jupyter lab ``` After a change wait for the build to finish and then refresh your browser and the changes should take effect. #### Python: If you make a change to the python code then you will need to restart the notebook kernel to have it take effect. ## Releasing your initial packages: - Add tests - Ensure tests pass locally and on CI. Check that the coverage is reasonable. - Make a release commit, where you remove the `, 'dev'` entry in `_version.py`. - Update the version in `package.json` - Relase the npm packages: ```bash npm login npm publish ``` - Install publish dependencies: ```bash pip install build twine ``` - Build the assets and publish ```bash python -m build . twine check dist/* twine upload dist/* ``` - Tag the release commit (`git tag <python package version identifier>`) - Update the version in `_version.py`, and put it back to dev (e.g. 0.1.0 -> 0.2.0.dev). Update the versions of the npm packages (without publishing). - Commit the changes. - `git push` and `git push --tags`.

نیازمندی

مقدار	نام
>=7.0.0	ipywidgets
>=0.16.0	deephaven-server
-	jupyter-sphinx
-	nbsphinx
-	nbsphinx-link
-	pytest-check-links
-	pypandoc
-	recommonmark
>=1.5	sphinx
-	sphinx-rtd-theme
>=4.6	pytest
-	pytest-cov
-	nbval

زبان مورد نیاز

مقدار	نام
>=3.6	Python

نحوه نصب

نصب پکیج whl deephaven-ipywidgets-0.2.2:

pip install deephaven-ipywidgets-0.2.2.whl

نصب پکیج tar.gz deephaven-ipywidgets-0.2.2:

pip install deephaven-ipywidgets-0.2.2.tar.gz