Alph 03 Data Visualization

03 Data Visualization

tutorialsAlphgetting-started

alph-notebooks/notebooks / 03-data-visualization.ipynb

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Data Visualization

Alph renders interactive charts — not static images. Hover, zoom, pan, and export directly from notebook outputs. Run each cell to see it in action.

Plotly — Interactive Charts

Plotly charts are fully interactive. Hover over points, zoom into regions, and export as PNG.

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Matplotlib & Seaborn

Classic plotting libraries work as expected.

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/tmp/ipykernel_341/2306078502.py:12: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

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Why Interactive Matters

Library	Interactive	Use Case
Plotly	Yes	Dashboards, presentations, exploration
Matplotlib	Static	Publications, fine-grained control
Seaborn	Static	Statistical plots, quick EDA

On Alph, interactive outputs persist — share a notebook link and recipients get the full interactive experience, not a screenshot.

Next: GitHub Sync & Integration