starepandas.STAREDataFrame.split_antimeridian

STAREDataFrame.split_antimeridian(inplace=False, drop=False)

Splits trixels at the antimeridian

This works on trixels that cross the meridian and whose longitudes have not been wrapped around the antimeridian. I.e. when creating the trixels use sdf.make_trixels(wrap_lon=False)

Examples

>>> cities = {'name': ['midway', 'Fiji', 'Baker', 'honolulu'],
...           'lat': [28.2, -17.8,  0.2, 21.3282956],
...           'lon': [-177.35, 178.1, -176.7, -157.9]}
>>> sdf = starepandas.STAREDataFrame(cities)
>>> sids = starepandas.sids_from_xy(sdf.lon, sdf.lat, level=1)
>>> sdf.set_sids(sids, inplace=True)
>>> trixels = sdf.make_trixels(wrap_lon=False)
>>> sdf.set_trixels(trixels, inplace=True)
>>> cites_split = sdf.split_antimeridian(inplace=False)
>>> max(max(cites_split.trixels[1].geoms[0].exterior.xy))
180.0