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Readme
Statsplotly is a Python data visualization library based on Plotly. It provides a high-level interface for drawing attractive and interactive statistical data visualization plots.
The inception of this library predated the fantastic plotly.express API.
Compared to plotly.express
API, statsplotly
:
This flexibility takes advantage of the powerful interactivity offered by plotly.js
without compromising statistical intelligibility for aesthetic choices, or vice-versa.
Main features of the API are demonstrated in a demo notebook.
pip install statsplotly
Details of the public API can be found in the documentation.
First make sure you have Poetry installed on your system (see instruction).
Then, assuming you have a Unix shell with make, create and set up a new Poetry environment :
make init
To make the Poetry-managed kernel available for a globally installed Jupyter :
poetry run ipython kernel install --user --name=<KERNEL_NAME>
jupyter notebook
On the Jupyter server, select the created kernel in “Kernel” -> “Change kernel”.
The Makefile provides several targets to assist in development and code quality :
init
creates a project-specific virtual environment and installs the dependencies of the .lock file.ci
launches Black, Ruff, mypy and pytest on your source code.pre-commit
set up and run pre-commit hooks (see pre-commit documentation).clean
clears bytecode, poetry/pip caches. Use with caution.FAQs
Tidy API for statistical visualization with Plotly
We found that statsplotly demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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