Metadata-Version: 2.4
Name: odyssey-viz-armand
Version: 0.3.2
Summary: Four matplotlib charts styled like a Christopher Nolan film, in the palette of the Odyssey.
Author: Armand Domalewski
License: MIT License
        
        Copyright (c) 2026 Armand Domalewski
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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Project-URL: Homepage, https://github.com/armanddomalewski/comms_for_data_science
Keywords: visualization,matplotlib,charts,theme
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib>=3.7
Requires-Dist: pandas>=1.5
Requires-Dist: numpy>=1.23
Provides-Extra: dev
Requires-Dist: pytest>=7; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: twine; extra == "dev"
Dynamic: license-file

# odyssey-viz

Four matplotlib charts that share one house style: the visual language of a
Christopher Nolan film, in the palette of the Odyssey.

Install name is `odyssey-viz-armand` (hyphens, for pip). Import name is
`odyssey_viz` (underscores, for Python).

## Install

```bash
pip install odyssey-viz-armand
```

Or, working from a clone of this repo:

```bash
python -m pip install -e .
```

## Use

```python
import odyssey_viz as ov

ov.use_theme()                  # apply the style to matplotlib
df = ov.sample_box_office()     # every film Nolan has directed

ax = ov.bars(df, x="title", y="worldwide_musd", title="Two films past a billion")
ov.save(ax, "gross.png")
```

Every chart takes a pandas DataFrame and returns a matplotlib `Axes`, so you can
keep working on it with plain matplotlib afterwards.

## The four charts

| Function | What it draws |
| --- | --- |
| `bars(df, x, y)` | Ranked horizontal bars; the top bar stays bright, the rest cool off |
| `line(df, x, y, group=None)` | A line over an ordered column, one per category if you pass `group` |
| `scatter(df, x, y, color=None, size=None)` | Points, optionally colored by category and sized by a numeric column |
| `histogram(df, column, bins=12)` | Distribution of one column, with the mean marked |

All four also take `title=`, `subtitle=`, and `ax=`.

### Supporting functions

- `use_theme(name="ithaca", grain=True)` — apply the style. `grain=False` turns off the film grain.
- `palette(name)` / `current_palette()` — the hex colors, if you want to reuse them.
- `save(ax, path, dpi=200)` — write the chart out at presentation resolution.
- `sample_box_office()` — the built-in dataset used in every example here.

## The sample dataset

`sample_box_office()` returns one row per Christopher Nolan feature, with
`title`, `year`, `studio`, `runtime_min`, `budget_musd`, `domestic_musd`, and
`worldwide_musd`. It is here to give the charts something to draw.

The figures come from public box office reporting, compiled 2026-07-31. Grosses
are lifetime and include re-releases; budgets are production budgets and exclude
marketing; `studio` is the lead domestic distributor, which simplifies two films
that split distributors by territory. The Odyssey is still in theaters, so its
row is a snapshot that goes stale immediately. Verify against a primary source
before citing any of it.

## The look

Every chart is built from the same handful of decisions:

- **Never pure black.** Frames are `#0B0E12`, a cold blue-black. Pure black reads as absent signal; a near-black reads as film stock. Text is bone white, not white.
- **16:9 by default**, the projection ratio.
- **Title-card typography.** Headings are uppercase and letterspaced, set with thin spaces since matplotlib has no letter-spacing control.
- **70mm grain.** A faint noise field at 5% opacity over the whole figure. Turn it off with `use_theme(grain=False)`.
- **Open frames.** Top and right spines removed, hairline grid, ticks kept short.
- **Bronze against cold water.** Hammered bronze leads; Aegean steel follows.

## Palettes

| Name | Reads as |
| --- | --- |
| `ithaca` (default) | Bronze against cold sea metal |
| `aegean` | Sea and sky; water, distance, time |
| `underworld` | Bone, ash, and rust; for grim subjects |

```python
ov.use_theme("aegean")
```

## Gallery

Rendered by `python examples/make_gallery.py`.

![Ranked bars](examples/01_bars.png)
![Line](examples/02_line.png)
![Scatter](examples/03_scatter.png)
![Histogram](examples/04_histogram.png)

## Development

```bash
python -m pip install -e ".[dev]"
python -m pytest -q          # 10 tests
python -m build              # writes dist/*.whl and dist/*.tar.gz
python -m twine check dist/* # check before uploading
```

Publish to TestPyPI first, then PyPI:

```bash
python -m twine upload --repository testpypi dist/*
python -m twine upload dist/*
```

Use an API token, never a password, and never commit the token.

## License

MIT — see [LICENSE](LICENSE).
