def test_collection_1_field():
""" test field collections with only one field """
grid = UnitGrid([3])
s1 = ScalarField(grid, label="a")
fc = FieldCollection([s1])
assert fc.labels == ["a"]
fc.plot()
def test_collections():
"""test field collections"""
grid = UnitGrid([3, 4])
sf = ScalarField.random_uniform(grid, label="sf")
vf = VectorField.random_uniform(grid, label="vf")
tf = Tensor2Field.random_uniform(grid, label="tf")
fields = FieldCollection([sf, vf, tf])
assert fields.data.shape == (7, 3, 4)
assert isinstance(str(fields), str)
fields.data[:] = 0
np.testing.assert_allclose(sf.data, 0)
np.testing.assert_allclose(vf.data, 0)
np.testing.assert_allclose(tf.data, 0)
assert fields[0] is fields["sf"]
assert fields[1] is fields["vf"]
assert fields[2] is fields["tf"]
with pytest.raises(KeyError):
fields["42"]
sf.data = 1
vf.data = 1
tf.data = 1
np.testing.assert_allclose(fields.data, 1)
assert all(np.allclose(i, 12) for i in fields.integrals)
assert all(np.allclose(i, 1) for i in fields.averages)
assert np.allclose(fields.magnitudes, np.sqrt([1, 2, 4]))
assert sf.data.shape == (3, 4)
assert vf.data.shape == (2, 3, 4)
assert tf.data.shape == (2, 2, 3, 4)
c2 = FieldBase.from_state(fields.attributes, data=fields.data)
assert c2 == fields
assert c2.grid is grid
attrs = FieldCollection.unserialize_attributes(
fields.attributes_serialized)
c2 = FieldCollection.from_state(attrs, data=fields.data)
assert c2 == fields
assert c2.grid is not grid
fields["sf"] = 2.0
np.testing.assert_allclose(sf.data, 2)
with pytest.raises(KeyError):
fields["42"] = 0
fields.plot(subplot_args=[{}, {"scale": 1}, {"colorbar": False}])
def test_collection_plotting():
""" test simple plotting of various fields on various grids """
grid = UnitGrid([5])
s1 = ScalarField(grid, label="s1")
s2 = ScalarField(grid)
fc = FieldCollection([s1, s2])
# test setting different figure sizes
fc.plot(figsize="default")
fc.plot(figsize="auto")
fc.plot(figsize=(3, 3))
# test different arrangements
fc.plot(arrangement="horizontal")
fc.plot(arrangement="vertical")
