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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 The previous C PROJ library calls have been replaced by pyproj
and the C GEOS calls have been replaced by shapely.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`)
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