Version 0.22 (August 4, 2023)
=============================

Cartopy v0.22 is a major step forward in the project's development. The
requirement to install with local PROJ and GEOS libraries has been
removed. The previous C PROJ library calls have been replaced by pyproj
and the C GEOS calls have been replaced by shapely. This means that
Cartopy can now be installed with a simple ``pip install cartopy``.


For a full list of included Pull Requests and closed Issues, please see the
`0.22 milestone <https://github.com/SciTools/cartopy/milestone/35>`_.

Features
--------

* Matthias Cuntz updated the OGC reader to handle EPSG projections. (:pull:`2191`)

* Greg Lucas added the ability to build wheels for the project and
  move towards new Python packaging standards. (:pull:`2197`)

* Elliott Sales de Andrade removed the GEOS dependency and replaced it with shapely
  and Greg Lucas added some additional speedups in the geometry transforms. (:pull:`2080`)

* Ruth Comer added the ability to use RGB(A) color arrays with pcolormesh and
  updated the code to work with Matplotlib version 3.8. (:pull:`2166`)

  .. plot::

    import cartopy.crs as ccrs
    import matplotlib.pyplot as plt
    import numpy as np

    np.random.seed(100)

    x = np.arange(10, 20)
    y = np.arange(0, 10)
    x, y = np.meshgrid(x, y)

    img = np.random.randint(low=0, high=255, size=(10, 10, 4)) / 255

    projection = ccrs.Mollweide()
    transform = ccrs.PlateCarree()
    ax = plt.axes(projection=projection)
    ax.set_global()
    ax.coastlines()

    ax.pcolormesh(np.linspace(0, 120, 11), np.linspace(0, 80, 11), img, transform=transform)

    plt.show()

* Dan Hirst updated the Ordnance Survey image tiles to use the new OS API. (:pull:`2105`)

* Martin Yeo added the Oblique Mercator projection. (:pull:`2096`)

* Elliott Sales de Andrade added the Aitoff and Hammer projections. (:pull:`1249`)