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Gallery

A tour of what Bio-ORACLE data looks like once it lands in Python. Every figure below is built straight from load_layer using the xarray and pandas plotting APIs, with cmocean colormaps and cartopy projections.

Reproducible

Install the plotting extra and every figure here can be regenerated:

pip install "pyo-oracle[viz]"

The exact code that produced these images lives in docs/gallery/generate_images.py.

  • Global maps & projections

    Global sea surface temperature

    World temperature maps with oceanographic colormaps, a Robinson projection and coastlines, and a regional zoom.

  • Climate change

    Projected warming

    Warming maps, faceted SSP scenarios, and 2020–2090 projection trends.

  • Distributions & gradients

    Latitudinal gradient

    Latitudinal temperature gradients, distributions, and a depth-layer comparison with the pandas plotting API.

  • Multi-variable relationships

    Correlation heatmap

    Join temperature, oxygen, pH and salinity into one frame and explore how they covary.