---
pretty_name: Matplotlib Code-Image Pairs
license: other
license_name: matplotlib-license
license_link: https://matplotlib.org/stable/project/license.html
tags:
- matplotlib
- code
- plotting
- computer-vision
- synthetic
---

# Matplotlib Code-Image Pairs

## Dataset Summary

This dataset contains static Matplotlib figure images paired with the Python source code that generated them.
It was built from the official Matplotlib gallery and excludes animation-style examples.
Each row corresponds to one rendered image. Examples that produce multiple figures contribute multiple rows.

## Dataset Composition

- Image/code rows: 643
- Source examples: 452
- Examples with multiple figures: 74
- Included statuses: ok
- Source gallery: https://matplotlib.org/stable/gallery/index.html

## Top Categories

- `lines_bars_and_markers`: 48 examples
- `images_contours_and_fields`: 47 examples
- `text_labels_and_annotations`: 46 examples
- `mplot3d`: 44 examples
- `subplots_axes_and_figures`: 35 examples
- `misc`: 25 examples
- `ticks`: 24 examples
- `axes_grid1`: 22 examples
- `statistics`: 21 examples
- `event_handling`: 20 examples

## Row Schema

- `image`: rendered PNG for one figure
- `code`: full Python source for the example
- `example_id`: stable identifier derived from the Matplotlib gallery URL
- `figure_index`: zero-based figure index within the example
- `figure_name`: original rendered image filename
- `title`: example page title
- `example_page_url`: Matplotlib gallery page URL
- `source_url`: downloadable Python source URL when available
- `source_relpath`: source filename reported by the scraper
- `category_hint`: rough gallery category inferred from the URL path
- `status`: scraper/render status kept for provenance
- `num_figures`: number of figures reported for the source example
- `error`: render or scrape error text, usually null for successful rows

## Build Process

1. Crawl the official Matplotlib gallery.
2. Download the Python source for each example page.
3. Render examples with Matplotlib's non-interactive `Agg` backend.
4. Keep static rendered image/code pairs and skip dynamic animation-style examples.
5. Export one dataset row per rendered image.

## Usage

Load the local saved dataset:

```python
from datasets import load_from_disk

ds = load_from_disk("/usr/project/xtmp/ap843/hf_datasets/matplotlib_code_image_pairs")["train"]
```

Load from the Hugging Face Hub after pushing:

```python
from datasets import load_dataset

ds = load_dataset("ajayvikram/matplotlib-code-image", split="train")
```

## License And Attribution

This dataset is derived from Matplotlib gallery examples. The card metadata uses `license: other` with
`license_name: matplotlib-license` and `license_link: https://matplotlib.org/stable/project/license.html` because the Matplotlib project uses a
project-specific license rather than a standard Hugging Face license identifier. The official Matplotlib license
permits use, distribution, and derivative works provided the Matplotlib copyright notice and license agreement
are retained. This is an interpretation of the official license page, not legal advice.