def test_apply_invalid_input():
def func(x):
return 0
# invalid dims (must be 2d)
zones = xa.DataArray(np.array([1, 2, 0]))
values = xa.DataArray(np.array([[[1, 2, 0.5]]]))
with pytest.raises(Exception) as e_info:
apply(zones, values, func)
# invalid zones data dtype (must be int)
zones = xa.DataArray(np.array([[1, 2, 0.5]]))
values = xa.DataArray(np.array([[[1, 2, 0.5]]]))
with pytest.raises(Exception) as e_info:
apply(zones, values, func)
# invalid values data dtype (must be int or float)
values = xa.DataArray(np.array([['apples', 'foobar', 'cowboy']]))
zones = xa.DataArray(np.array([[1, 2, 0]]))
with pytest.raises(Exception) as e_info:
apply(zones, values, func)
# invalid values dim (must be 2d or 3d)
values = xa.DataArray(np.array([1, 2, 0.5]))
zones = xa.DataArray(np.array([[1, 2, 0]]))
with pytest.raises(Exception) as e_info:
apply(zones, values, func)
zones = xa.DataArray(np.array([[1, 2, 0], [1, 2, 3]]))
values = xa.DataArray(np.array([[1, 2, 0.5]]))
# mis-match zones.shape and values.shape
with pytest.raises(Exception) as e_info: # noqa
apply(zones, values, func)
def test_apply():
def func(x):
return 0
zones_val = np.zeros((3, 3), dtype=np.int)
# define some zones
zones_val[0, ...] = 1
zones_val[1, ...] = 2
zones = xa.DataArray(zones_val)
values_val = np.array([[0, 1, 2], [3, 4, 5], [6, 7, np.nan]])
values = xa.DataArray(values_val)
# add crs for tests
values = _add_EPSG4326_crs_to_da(values)
values_copy = values.copy()
apply(zones, values, func)
# agg.shape remains the same
assert values.shape == values_copy.shape
# crs tests
assert values.attrs == values_copy.attrs
for coord in values_copy.coords:
assert np.all(values[coord] == values_copy[coord])
values_val = values.values
# values within zones are all 0s
assert (values_val[0] == [0, 0, 0]).all()
assert (values_val[1] == [0, 0, 0]).all()
# values outside zones remain
assert (values_val[2, :2] == values_copy.values[2, :2]).all()
# last element of the last row is nan
assert np.isnan(values_val[2, 2])
def test_apply():
def func(x):
return 0
zones_val = np.zeros((3, 3), dtype=int)
# define some zones
zones_val[1] = 1
zones_val[2] = 2
zones = xr.DataArray(zones_val)
values_val = np.array([[0, 1, 2], [3, 4, 5], [6, 7, np.nan]])
values = xr.DataArray(values_val)
values_copy = values.copy()
apply(zones, values, func, nodata=2)
# agg.shape remains the same
assert values.shape == values_copy.shape
values_val = values.values
# values within zones are all 0s
assert (values_val[0] == [0, 0, 0]).all()
assert (values_val[1] == [0, 0, 0]).all()
# values outside zones remain
assert np.isclose(values_val[2], values_copy.values[2],
equal_nan=True).all()
