def test_nddataset_set_coordinates(nd2d, ds1):
# set coordinates all together
nd = nd2d.copy()
ny, nx = nd.shape
nd.set_coordset(x=np.arange(nx), y=np.arange(ny))
assert nd.dims == ['y', 'x']
assert nd.x == np.arange(nx)
nd.transpose(inplace=True)
assert nd.dims == ['x', 'y']
assert nd.x == np.arange(nx)
# set coordinates from tuple
nd = nd2d.copy()
ny, nx = nd.shape
nd.set_coordset(np.arange(ny), np.arange(nx))
assert nd.dims == ['y', 'x']
assert nd.x == np.arange(nx)
nd.transpose(inplace=True)
assert nd.dims == ['x', 'y']
assert nd.x == np.arange(nx)
# set coordinate with one set to None: should work!
# set coordinates from tuple
nd = nd2d.copy()
ny, nx = nd.shape
nd.set_coordset(np.arange(ny), None)
assert nd.dims == ['y', 'x']
assert nd.y == np.arange(ny)
assert nd.x.is_empty
nd.transpose(inplace=True)
assert nd.dims == ['x', 'y']
assert nd.y == np.arange(ny)
assert nd.x.is_empty
assert nd.coordset == scp.CoordSet(np.arange(ny), None)
nd = nd2d.copy()
ny, nx = nd.shape
nd.set_coordset(None, np.arange(nx))
assert nd.dims == ['y', 'x']
assert nd.x == np.arange(nx)
assert nd.y.is_empty
nd.set_coordset(y=np.arange(ny), x=None)
# set up a single coordinates
nd = nd2d.copy()
ny, nx = nd.shape
nd.x = np.arange(nx)
nd.x = np.arange(nx) # do it again - fix a bug
nd.set_coordtitles(y='intensity', x='time')
assert repr(nd.coordset) == 'CoordSet: [x:time, y:intensity]'
# validation
with pytest.raises(ValueError):
nd.x = np.arange(nx + 5)
with pytest.raises(AttributeError):
nd.z = None
# set coordinates all together
nd = nd2d.copy()
ny, nx = nd.shape
nd.coordset = scp.CoordSet(u=np.arange(nx), v=np.arange(ny))
assert nd.dims != ['u', 'v'] # dims = ['y','x']
# set dim names
nd.dims = ['u', 'v']
nd.set_coordset(**scp.CoordSet(u=np.arange(ny), v=np.arange(nx)))
assert nd.dims == ['u', 'v']
def test_nddataset_coordset():
# init coordinates set at NDDataset initialization
dx = np.random.random((10, 7, 3))
coord0 = np.arange(10)
coord1 = np.arange(7)
coord2 = np.arange(3) * 100.
da = scp.NDDataset(dx, coordset=(coord0, coord1, coord2), title='absorbance',
coordtitles=['wavelength', 'time-on-stream', 'temperature'], coordunits=['cm^-1', 's', 'K'], )
assert da.shape == (10, 7, 3)
assert da.coordset.titles == ['temperature', 'time-on-stream', 'wavelength']
assert da.coordset.names == ['x', 'y', 'z']
assert da.coordunits == [ur.Unit('K'), ur.Unit('s'), ur.Unit('cm^-1')]
# order of dims follow data shape, but not necessarily the coord list (
# which is ordered by name)
assert da.dims == ['z', 'y', 'x']
assert da.coordset.names == sorted(da.dims)
# transpose
dat = da.T
assert dat.dims == ['x', 'y', 'z']
# dims changed but did not change coords order !
assert dat.coordset.names == sorted(dat.dims)
assert dat.coordtitles == da.coordset.titles
assert dat.coordunits == da.coordset.units
# too many coordinates
cadd = scp.Coord(labels=['d%d' % i for i in range(6)])
coordtitles = ['wavelength', 'time-on-stream', 'temperature']
coordunits = ['cm^-1', 's', None]
daa = scp.NDDataset(dx, coordset=[coord0, coord1, coord2, cadd, coord2.copy()], title='absorbance',
coordtitles=coordtitles, coordunits=coordunits, )
assert daa.coordset.titles == coordtitles[::-1]
assert daa.dims == ['z', 'y', 'x']
# with a CoordSet
c0, c1 = scp.Coord(labels=['d%d' % i for i in range(6)]), scp.Coord(data=[1, 2, 3, 4, 5, 6])
cc = scp.CoordSet(c0, c1)
cd = scp.CoordSet(x=cc, y=c1)
ds = scp.NDDataset([1, 2, 3, 6, 8, 0], coordset=cd, units='m')
assert ds.dims == ['x']
assert ds.x == cc
ds.history = 'essai: 1'
ds.history = 'try:2'
# wrong type
with pytest.raises(TypeError):
ds.coord[1.3]
# extra coordinates
with pytest.raises(AttributeError):
ds.y
# invalid_length
coord1 = scp.Coord(np.arange(9), title='wavelengths') # , units='m')
coord2 = scp.Coord(np.arange(20), title='time') # , units='s')
with pytest.raises(ValueError):
scp.NDDataset(np.random.random((10, 20)), coordset=(coord1, coord2))
def test_nddataset_multiple_axis(ref_ds, coord0, coord1, coord2, coord2b, dsm): # dsm is defined in conftest
ref = ref_ds
da = dsm.copy()
coordm = scp.CoordSet(coord2, coord2b)
# check indexing
assert da.shape == ref.shape
coords = da.coordset
assert len(coords) == 3
assert coords['z'] == coord0
assert da.z == coord0
assert da.coordset['wavenumber'] == coord0
assert da.wavenumber == coord0
assert da['wavenumber'] == coord0
# for multiple coordinates
assert da.coordset['x'] == coordm
assert da['x'] == coordm
assert da.x == coordm
# but we can also specify, which axis should be returned explicitely
# by an index or a label
assert da.coordset['x_1'] == coord2b
assert da.coordset['x_2'] == coord2
assert da.coordset['x'][1] == coord2
assert da.coordset['x']._1 == coord2b
assert da.x['_1'] == coord2b
assert da['x_1'] == coord2b
assert da.x_1 == coord2b
x = da.coordset['x']
assert x['temperature'] == coord2
assert da.coordset['x']['temperature'] == coord2
# even simpler we can specify any of the axis title and get it ...
assert da.coordset['time-on-stream'] == coord1
assert da.coordset['temperature'] == coord2
da.coordset['magnetic field'] += 100 * ur.millitesla
assert da.coordset['magnetic field'] == coord2b + 100 * ur.millitesla
def test_from_function_docstring():
def func1(t, v):
d = v * t
return d
time = scp.LinearCoord.arange(0, 60, 10, units="min")
scp.fromfunction(func1,
v=scp.Quantity(134, "km/hour"),
coordset=scp.CoordSet(t=time))
def dsm():
# dataset with coords containing several axis and a mask
coordmultiple = scp.CoordSet(coord2_, coord2b_)
return scp.NDDataset(
ref3d_data,
coordset=[coord0_, coord1_, coordmultiple],
mask=ref3d_mask,
title="absorbance",
units="absorbance",
).copy()
def test_nddataset_complex_dataset_slicing_by_index():
na0 = np.array([1. + 2.j, 2., 0., 0., -1.j, 1j] * 4)
nd = scp.NDDataset(na0)
assert nd.shape == (24,)
assert nd.data.shape == (24,)
coords = (np.linspace(-10., 10., 24),)
nd.set_coordset(coords)
x1 = nd.x.copy()
nd.coordset = coords
x2 = nd.x.copy()
assert x1 == x2
# slicing
nd1 = nd[0]
assert nd1.shape == (1,)
assert nd1.data.shape == (1,)
# slicing range
nd2 = nd[1:6]
assert nd2.shape == (5,)
assert nd2.data.shape == (5,)
na0 = na0.reshape(6, 4)
nd = scp.NDDataset(na0)
coords = scp.CoordSet(np.linspace(-10., 10., 6), np.linspace(-1., 1., 4))
nd.set_coordset(**coords)
assert nd.shape == (6, 4)
assert nd.data.shape == (6, 4)
nd.coordset = coords
# slicing 2D
nd1 = nd[0]
assert nd1.shape == (1, 4)
assert nd1.data.shape == (1, 4)
# slicing range
nd1 = nd[1:3]
assert nd1.shape == (2, 4)
assert nd1.data.shape == (2, 4)
# slicing range
nd1 = nd[1:3, 0:2]
assert nd1.shape == (2, 2)
assert nd1.data.shape == (2, 2)
nd.set_complex()
assert nd.shape == (6, 4)
assert nd.data.shape == (6, 4)
def test_ndmath_and_api_methods(IR_dataset_1D, IR_dataset_2D):
# CREATION _LIKE METHODS
# ----------------------
# from a list
x = [1, 2, 3]
# _like as an API method
ds = NDDataset(x).full_like(2.5, title="empty")
ds = scp.full_like(x, 2)
assert np.all(ds.data == np.full((3, ), 2))
assert ds.implements("NDDataset")
# _like as a classmethod
ds = NDDataset.full_like(x, 2)
assert np.all(ds.data == np.full((3, ), 2))
assert ds.implements("NDDataset")
# _like as an instance method
ds = NDDataset(x).full_like(2)
assert np.all(ds.data == np.full((3, ), 2))
assert ds.implements("NDDataset")
# _like as an instance method
ds = NDDataset(x).empty_like(title="empty")
assert ds.implements("NDDataset")
assert ds.title == "empty"
# from an array
x = np.array([1, 2, 3])
ds = NDDataset(x).full_like(2)
assert np.all(ds.data == np.full((3, ), 2))
assert ds.implements("NDDataset")
# from a NDArray subclass with units
x = NDDataset([1, 2, 3], units="km")
ds = scp.full_like(x, 2)
assert np.all(ds.data == np.full((3, ), 2))
assert ds.implements("NDDataset")
assert ds.units == ur.km
ds1 = scp.full_like(ds, np.nan, dtype=np.double, units="m")
assert ds1.units == Unit("m")
# change of units is forced
ds2 = scp.full_like(ds, 2, dtype=np.double, units="s")
assert ds2.units == ur.s
# other like creation functions
nd = scp.empty_like(ds, dtype=np.double, units="m")
assert str(nd) == "NDDataset: [float64] m (size: 3)"
assert nd.dtype == np.dtype(np.double)
nd = scp.zeros_like(ds, dtype=np.double, units="m")
assert str(nd) == "NDDataset: [float64] m (size: 3)"
assert np.all(nd.data == np.zeros((3, )))
nd = scp.ones_like(ds, dtype=np.double, units="m")
assert str(nd) == "NDDataset: [float64] m (size: 3)"
assert np.all(nd.data == np.ones((3, )))
# FULL
# ----
ds = NDDataset.full((6, ), 0.1)
assert ds.size == 6
assert str(ds) == "NDDataset: [float64] unitless (size: 6)"
# ZEROS
# -----
ds = NDDataset.zeros((6, ), units="km")
assert ds.size == 6
assert str(ds) == "NDDataset: [float64] km (size: 6)"
# ONES
# ----
ds = NDDataset.ones((6, ))
ds = scp.full((6, ), 0.1)
assert ds.size == 6
assert str(ds) == "NDDataset: [float64] unitless (size: 6)"
ds = NDDataset.ones((6, ), units="absorbance", dtype="complex128")
assert ds.size == 3
assert str(ds) == "NDDataset: [complex128] a.u. (size: 3)"
assert ds[0].data == 1.0 + 1.0j
# LINSPACE
# --------
c2 = Coord.linspace(1, 20, 200, units="m", name="mycoord")
assert c2.name == "mycoord"
assert c2.size == 200
assert c2[-1].data == 20
assert c2[0].values == Quantity(1, "m")
# ARANGE
# -------
c3 = Coord.arange(1, 20.0001, 1, units="s", name="mycoord")
assert c3.name == "mycoord"
assert c3.size == 20
assert c3[-1].data == 20
assert c3[0].values == Quantity(1, "s")
# EYE
# ----
ds1 = scp.NDDataset.eye(2, dtype=int)
assert str(ds1) == "NDDataset: [float64] unitless (shape: (y:2, x:2))"
ds = scp.eye(3, k=1, units="km")
assert (ds.data == np.eye(3, k=1)).all()
assert ds.units == ur.km
# IDENTITY
# --------
ds = scp.identity(3, units="km")
assert (ds.data == np.identity(3, )).all()
assert ds.units == ur.km
# RANDOM
# ------
ds = scp.random((3, 3), units="km")
assert str(ds) == "NDDataset: [float64] km (shape: (y:3, x:3))"
# adding coordset
c1 = Coord.linspace(1, 20, 200, units="m", name="axe_x")
ds = scp.random((200, ), units="km", coordset=scp.CoordSet(x=c1))
# DIAGONAL
# --------
# extract diagonal
nd = scp.full((2, 2), 0.5, units="s", title="initial")
assert str(nd) == "NDDataset: [float64] s (shape: (y:2, x:2))"
ndd = scp.diagonal(nd, title="diag")
assert str(ndd) == "NDDataset: [float64] s (size: 2)"
assert ndd.units == Unit("s")
cx = scp.Coord([0, 1])
cy = scp.Coord([2, 5])
nd = NDDataset.full((2, 2),
0.5,
units="s",
coordset=scp.CoordSet(cx, cy),
title="initial")
assert str(nd) == "NDDataset: [float64] s (shape: (y:2, x:2))"
ndd = nd.diagonal(title="diag2")
assert str(ndd) == "NDDataset: [float64] s (size: 2)"
assert ndd.units == Unit("s")
assert ndd.title == "diag2"
cx = scp.Coord([0, 1, 2])
cy = scp.Coord([2, 5])
nd = NDDataset.full((2, 3),
0.5,
units="s",
coordset=scp.CoordSet(x=cx, y=cy),
title="initial")
assert str(nd) == "NDDataset: [float64] s (shape: (y:2, x:3))"
ndd = nd.diagonal(title="diag3")
assert str(ndd) == "NDDataset: [float64] s (size: 2)"
assert ndd.units == Unit("s")
assert ndd.title == "diag3"
assert_array_equal(nd.x.data[:ndd.x.size], ndd.x.data)
ndd = nd.diagonal(title="diag4", dim="y")
assert str(ndd) == "NDDataset: [float64] s (size: 2)"
assert ndd.units == Unit("s")
assert ndd.title == "diag4"
assert_array_equal(nd.y.data[:ndd.y.size], ndd.y.data)
# DIAG
# ----
ref = NDDataset(np.diag((3, 3.4, 2.3)), units="m", title="something")
# Three forms should return the same NDDataset
ds = scp.diag((3, 3.4, 2.3), units="m", title="something")
assert_dataset_equal(ds, ref)
ds = NDDataset.diag((3, 3.4, 2.3), units="m", title="something")
assert_dataset_equal(ds, ref)
ds = NDDataset((3, 3.4, 2.3)).diag(units="m", title="something")
assert_dataset_equal(ds, ref)
# and this too
ds1 = NDDataset((3, 3.4, 2.3), units="s", title="another")
ds = scp.diag(ds1, units="m", title="something")
assert_dataset_equal(ds, ref)
ds = ds1.diag(units="m", title="something")
assert_dataset_equal(ds, ref)
# BOOL : ALL and ANY
# ------------------
ds = NDDataset([[True, False], [True, True]])
b = np.all(ds)
assert not b
b = scp.all(ds)
assert not b
b = ds.all()
assert not b
b = NDDataset.any(ds)
assert b
b = ds.all(dim="y")
assert_array_equal(b, np.array([True, False]))
b = ds.any(dim="y")
assert_array_equal(b, np.array([True, True]))
# ARGMAX, MAX
# -----------
nd1 = IR_dataset_1D.copy()
nd1[1290.0:890.0] = MASKED
assert nd1.is_masked
assert str(nd1) == "NDDataset: [float64] a.u. (size: 5549)"
idx = nd1.argmax()
assert idx == 3122
mx = nd1.max()
# alternative
mx = scp.max(nd1)
mx = NDDataset.max(nd1)
assert mx == Quantity(3.8080601692199707, "absorbance")
mxk = nd1.max(keepdims=True)
assert isinstance(mxk, NDDataset)
assert str(mxk) == "NDDataset: [float64] a.u. (size: 1)"
assert mxk.values == mx
# test on a 2D NDDataset
nd2 = IR_dataset_2D.copy()
nd2[:, 1290.0:890.0] = MASKED
mx = nd2.max() # no axis specified
assert mx == Quantity(3.8080601692199707, "absorbance")
mxk = nd2.max(keepdims=True)
assert str(mxk) == "NDDataset: [float64] a.u. (shape: (y:1, x:1))"
nd2m = nd2.max("y") # axis selected
ax = nd2m.plot()
nd2[0].plot(ax=ax, clear=False)
nd2m2 = nd2.max("x") # axis selected
nd2m2.plot()
nd2m = nd2.max("y", keepdims=True)
assert nd2m.shape == (1, 5549)
nd2m = nd2.max("x", keepdims=True)
assert nd2m.shape == (55, 1)
mx = nd2.min() # no axis specified
assert mx == Quantity(-0.022955093532800674, "absorbance")
mxk = nd2.min(keepdims=True)
assert str(mxk) == "NDDataset: [float64] a.u. (shape: (y:1, x:1))"
nd2m = nd2.min("y") # axis selected
ax = nd2m.plot()
nd2[0].plot(ax=ax, clear=False)
nd2m2 = nd2.min("x") # axis selected
nd2m2.plot()
nd2m = nd2.min("y", keepdims=True)
assert nd2m.shape == (1, 5549)
nd2m = nd2.min("x", keepdims=True)
assert nd2m.shape == (55, 1)
# CLIP
# ----
nd3 = nd2 - 2.0
assert nd3.units == nd2.units
nd3c = nd3.clip(-0.5, 1.0)
assert nd3c.max().m == 1.0
assert nd3c.min().m == -0.5
# COORDMIN AND COORDMAX
# ---------------------
cm = nd2.coordmin()
assert np.around(cm["x"], 3) == Quantity(1290.165, "cm^-1")
cm = nd2.coordmin(dim="y")
assert cm.size == 1
cm = nd2.coordmax(dim="y")
assert cm.size == 1
cm = nd2.coordmax(dim="x")
assert cm.size == 1
# ABS
# ----
nd2a = scp.abs(nd2)
mxa = nd2a.min()
assert mxa > 0
nd2a = NDDataset.abs(nd2)
mxa = nd2a.min()
assert mxa > 0
nd2a = np.abs(nd2)
mxa = nd2a.min()
assert mxa > 0
ndd = NDDataset([1.0, 2.0 + 1j, 3.0])
val = np.abs(ndd)
val = ndd[1] * 1.2 - 10.0
val = np.abs(val)
# FROMFUNCTION
# ------------
# 1D
def func1(t, v):
d = v * t
return d
time = Coord.linspace(
0,
9,
10,
)
distance = NDDataset.fromfunction(func1, v=134, coordset=CoordSet(t=time))
assert distance.dims == ["t"]
assert_array_equal(distance.data, np.fromfunction(func1, (10, ), v=134))
time = Coord.linspace(0, 90, 10, units="min")
distance = NDDataset.fromfunction(func1,
v=Quantity(134, "km/hour"),
coordset=CoordSet(t=time))
assert distance.dims == ["t"]
assert_array_equal(distance.data,
np.fromfunction(func1, (10, ), v=134) * 10 / 60)
# 2D
def func2(x, y):
d = x + 1 / y
return d
c0 = Coord.linspace(0, 9, 3)
c1 = Coord.linspace(10, 20, 2)
# implicit ordering of coords (y,x)
distance = NDDataset.fromfunction(func2, coordset=CoordSet(c1, c0))
assert distance.shape == (2, 3)
assert distance.dims == ["y", "x"]
# or equivalent
distance = NDDataset.fromfunction(func2, coordset=[c1, c0])
assert distance.shape == (2, 3)
assert distance.dims == ["y", "x"]
# explicit ordering of coords (y,x) #
distance = NDDataset.fromfunction(func2, coordset=CoordSet(u=c0, v=c1))
assert distance.shape == (2, 3)
assert distance.dims == ["v", "u"]
assert distance[0, 2].data == distance.u[2].data + 1.0 / distance.v[0].data
# with units
def func3(x, y):
d = x + y
return d
c0u = Coord.linspace(0, 9, 3, units="km")
c1u = Coord.linspace(10, 20, 2, units="m")
distance = NDDataset.fromfunction(func3, coordset=CoordSet(u=c0u, v=c1u))
assert distance.shape == (2, 3)
assert distance.dims == ["v", "u"]
assert distance[0, 2].values == distance.u[2].values + distance.v[0].values
c0u = Coord.linspace(0, 9, 3, units="km")
c1u = Coord.linspace(10, 20, 2, units="m^-1")
distance = NDDataset.fromfunction(func2, coordset=CoordSet(u=c0u, v=c1u))
assert distance.shape == (2, 3)
assert distance.dims == ["v", "u"]
assert distance[
0, 2].values == distance.u[2].values + 1.0 / distance.v[0].values
# FROMITER
# --------
iterable = (x * x for x in range(5))
nit = scp.fromiter(iterable, float, units="km")
assert str(nit) == "NDDataset: [float64] km (size: 5)"
assert_array_equal(nit.data, np.array([0, 1, 4, 9, 16]))
# MEAN, AVERAGE
# -----
nd = IR_dataset_2D.copy()
m = scp.mean(nd)
assert m.shape == ()
assert m == Quantity(np.mean(nd.data), "absorbance")
m = scp.average(nd)
assert m.shape == ()
assert m == Quantity(np.average(nd.data), "absorbance")
mx = scp.mean(nd, keepdims=True)
assert mx.shape == (1, 1)
mxd = scp.mean(nd, dim="y")
assert str(mxd) == "NDDataset: [float64] a.u. (size: 5549)"
assert str(mxd.x) == "LinearCoord: [float64] cm⁻¹ (size: 5549)"
# ----
nd2 = NDDataset([[0, 1, 2], [3, 4, 5]]) # no coord (check issues
m = scp.mean(nd2)
assert m.shape == ()
assert m == np.mean(nd2.data)
assert m == 2.5
m = scp.mean(nd2, keepdims=True)
assert m.shape == (1, 1)
assert m.data == [[2.5]]
m = scp.mean(nd2, dim="y")
assert m.shape == (3, )
assert_array_equal(m.data, [1.5, 2.5, 3.5])
assert str(m) == "NDDataset: [float64] unitless (size: 3)"
m = scp.mean(nd2, dim=0, keepdims=True)
assert m.shape == (1, 3)
assert_array_equal(m.data, [[1.5, 2.5, 3.5]])
assert str(m) == "NDDataset: [float64] unitless (shape: (y:1, x:3))"
m = nd2.mean(dim="y")
assert m.shape == (3, )
assert_array_equal(m.data, [1.5, 2.5, 3.5])
assert str(m) == "NDDataset: [float64] unitless (size: 3)"
# %%
def func(t, v, var):
d = v * t + (np.random.rand(len(t)) - 0.5) * var
d[0].data = 0.0
return d
time = scp.LinearCoord.linspace(0, 10, 20, title="time", units="hour")
d = scp.NDDataset.fromfunction(
func,
v=100.0 * ur("km/hr"),
var=60.0 * ur("km"),
# extra arguments passed to the function v, var
coordset=scp.CoordSet(t=time),
name="mydataset",
title="distance travelled",
)
# %% [markdown]
# Here is a plot of these data-points:
# %%
prefs = d.preferences
prefs.figure.figsize = (7, 3)
d.plot_scatter(markersize=7, mfc="red")
# %% [markdown]
# We want to fit a line through these data-points of equation
#
def test_nddataset_square_dataset_with_identical_coordinates():
a = np.random.rand(3, 3)
c = scp.Coord(np.arange(3) * .25, title='time', units='us')
nd = scp.NDDataset(a, coordset=scp.CoordSet(x=c, y='x'))
assert nd.x == nd.y
def test_nddataset_square_dataset_with_identical_coordinates():
a = np.random.rand(3, 3)
c = scp.Coord(np.arange(3) * 0.25, title="time", units="us")
nd = scp.NDDataset(a, coordset=scp.CoordSet(x=c, y="x"))
assert nd.x == nd.y
def test_nddataset_coordset():
# init coordinates set at NDDataset initialization
dx = np.random.random((10, 7, 3))
coord0 = np.arange(10)
coord1 = np.arange(7)
coord2 = np.arange(3) * 100.0
da = scp.NDDataset(
dx,
coordset=(coord0, coord1, coord2),
title="absorbance",
coordtitles=["wavelength", "time-on-stream", "temperature"],
coordunits=["cm^-1", "s", "K"],
)
assert da.shape == (10, 7, 3)
assert da.coordset.titles == ["temperature", "time-on-stream", "wavelength"]
assert da.coordset.names == ["x", "y", "z"]
assert da.coordunits == [ur.Unit("K"), ur.Unit("s"), ur.Unit("cm^-1")]
# order of dims follow data shape, but not necessarily the coord list (
# which is ordered by name)
assert da.dims == ["z", "y", "x"]
assert da.coordset.names == sorted(da.dims)
# transpose
dat = da.T
assert dat.dims == ["x", "y", "z"]
# dims changed but did not change coords order !
assert dat.coordset.names == sorted(dat.dims)
assert dat.coordtitles == da.coordset.titles
assert dat.coordunits == da.coordset.units
# too many coordinates
cadd = scp.Coord(labels=["d%d" % i for i in range(6)])
coordtitles = ["wavelength", "time-on-stream", "temperature"]
coordunits = ["cm^-1", "s", None]
daa = scp.NDDataset(
dx,
coordset=[coord0, coord1, coord2, cadd, coord2.copy()],
title="absorbance",
coordtitles=coordtitles,
coordunits=coordunits,
)
assert daa.coordset.titles == coordtitles[::-1]
assert daa.dims == ["z", "y", "x"]
# with a CoordSet
c0, c1 = scp.Coord(labels=["d%d" % i for i in range(6)]), scp.Coord(
data=[1, 2, 3, 4, 5, 6]
)
cc = scp.CoordSet(c0, c1)
cd = scp.CoordSet(x=cc, y=c1)
ds = scp.NDDataset([1, 2, 3, 6, 8, 0], coordset=cd, units="m")
assert ds.dims == ["x"]
assert ds.x == cc
ds.history = "essai: 1"
ds.history = "try:2"
# wrong type
with pytest.raises(TypeError):
ds.coord[1.3]
# extra coordinates
with pytest.raises(AttributeError):
ds.y
# invalid_length
coord1 = scp.Coord(np.arange(9), title="wavelengths") # , units='m')
coord2 = scp.Coord(np.arange(20), title="time") # , units='s')
with pytest.raises(ValueError):
scp.NDDataset(np.random.random((10, 20)), coordset=(coord1, coord2))