def test_variable_size_check():
r'Test Variable checking size of passed array'
ds = Dataset()
xdim = ds.createDimension('x', 2)
ydim = ds.createDimension('y', 3)
# Create array with dims flipped
arr = np.empty((ydim.size, xdim.size), dtype='f4')
ds.createVariable('data', 'f4', ('x', 'y'), wrap_array=arr)
def test_variable_size_check():
r'Test Variable checking size of passed array'
ds = Dataset()
xdim = ds.createDimension('x', 2)
ydim = ds.createDimension('y', 3)
# Create array with dims flipped
arr = np.empty((ydim.size, xdim.size), dtype='f4')
with pytest.raises(ValueError):
ds.createVariable('data', 'f4', ('x', 'y'), wrap_array=arr)
def test_variable_size_check():
"""Test `Variable` checking size of passed array."""
ds = Dataset()
xdim = ds.createDimension('x', 2)
ydim = ds.createDimension('y', 3)
# Create array with dims flipped
arr = np.empty((ydim.size, xdim.size), dtype='f4')
with pytest.raises(ValueError):
ds.createVariable('data', 'f4', ('x', 'y'), wrap_array=arr)
def test_variable_size_check():
"""Test `Variable` checking size of passed array."""
ds = Dataset()
xdim = ds.createDimension("x", 2)
ydim = ds.createDimension("y", 3)
# Create array with dims flipped
arr = np.empty((ydim.size, xdim.size), dtype="f4")
with pytest.raises(ValueError):
ds.createVariable("data", "f4", ("x", "y"), wrap_array=arr)
def test_group():
"""Test `Group`/`Dataset` behavior."""
ds = Dataset()
ds.createDimension('x', 5)
ds.createVariable('data', 'f4', ('x',), 5)
ds.conventions = 'CF-1.5'
assert 'x' in ds.dimensions
assert 'data' in ds.variables
assert 'conventions' in ds.ncattrs()
assert str(ds) == ('root\n\nDimensions:\n'
"<class 'metpy.io.cdm.Dimension'>: name = x, size = 5\n\n"
"Variables:\n<class 'metpy.io.cdm.Variable'>: float32 data(x)\n\t"
'shape = 5\n\nAttributes:\n\tconventions: CF-1.5')
def test_group():
"""Test `Group`/`Dataset` behavior."""
ds = Dataset()
ds.createDimension('x', 5)
ds.createVariable('data', 'f4', ('x',), 5)
ds.conventions = 'CF-1.5'
assert 'x' in ds.dimensions
assert 'data' in ds.variables
assert 'conventions' in ds.ncattrs()
assert str(ds) == ('root\n\nDimensions:\n'
"<class 'metpy.io.cdm.Dimension'>: name = x, size = 5\n\n"
"Variables:\n<class 'metpy.io.cdm.Variable'>: float32 data(x)\n\t"
'shape = 5\n\nAttributes:\n\tconventions: CF-1.5')
def test_var():
"""Fixture to create a dataset and variable for tests."""
ds = Dataset()
ds.createDimension('x', 5)
var = ds.createVariable('data', 'f4', ('x',), 5)
var[:] = np.arange(5)
return var
def test_var():
"""Fixture to create a dataset and variable for tests."""
ds = Dataset()
ds.createDimension('x', 5)
var = ds.createVariable('data', 'f4', ('x', ), 5)
var[:] = np.arange(5)
return var
def test_group():
"""Test `Group`/`Dataset` behavior."""
ds = Dataset()
ds.createDimension("x", 5)
ds.createVariable("data", "f4", ("x",), 5)
ds.conventions = "CF-1.5"
assert "x" in ds.dimensions
assert "data" in ds.variables
assert "conventions" in ds.ncattrs()
assert str(ds) == (
"root\n\nDimensions:\n"
"<class 'metpy.io.cdm.Dimension'>: name = x, size = 5\n\n"
"Variables:\n<class 'metpy.io.cdm.Variable'>: float32 data(x)\n\t"
"shape = 5\n\nAttributes:\n\tconventions: CF-1.5"
)
def test_multidim_var():
"""Test multi-dim `Variable`."""
ds = Dataset()
ds.createDimension("x", 2)
ds.createDimension("y", 3)
var = ds.createVariable("data", "i8", ("x", "y"))
assert var.shape == (2, 3)
assert var.size == 6
assert var.ndim == 2
assert var.dtype == np.int64
assert str(var) == ("<class 'metpy.io.cdm.Variable'>: int64 data(x, y)" "\n\tshape = (2, 3)")
def test_multidim_var():
r'Test multi-dim Variable'
ds = Dataset()
ds.createDimension('x', 2)
ds.createDimension('y', 3)
var = ds.createVariable('data', 'i8', ('x', 'y'))
assert var.shape == (2, 3)
assert var.size == 6
assert var.ndim == 2
assert var.dtype == np.int64
assert str(var) == ("<class 'metpy.io.cdm.Variable'>: int64 data(x, y)"
'\n\tshape = (2, 3)')
def test_multidim_var():
"""Test multi-dim `Variable`."""
ds = Dataset()
ds.createDimension('x', 2)
ds.createDimension('y', 3)
var = ds.createVariable('data', 'i8', ('x', 'y'))
assert var.shape == (2, 3)
assert var.size == 6
assert var.ndim == 2
assert var.dtype == np.int64
assert str(var) == ("<class 'metpy.io.cdm.Variable'>: int64 data(x, y)"
'\n\tshape = (2, 3)')
def test_var():
"""Test `Variable` behavior."""
ds = Dataset()
ds.createDimension("x", 2)
var = ds.createVariable("data", "f4", ("x",), 5)
assert "data" in ds.variables
assert var.shape == (2,)
assert var.size == 2
assert var.ndim == 1
assert var.dtype == np.float32
assert var[0] == 5
var.units = "meters"
assert "units" in var.ncattrs()
assert var.units == "meters"
assert var.group() is ds
assert str(var) == ("<class 'metpy.io.cdm.Variable'>: float32 data(x)" "\n\tunits: meters\n\tshape = 2")
def test_var():
r'Test Variable behavior'
ds = Dataset()
ds.createDimension('x', 2)
var = ds.createVariable('data', 'f4', ('x', ), 5)
assert 'data' in ds.variables
assert var.shape == (2, )
assert var.size == 2
assert var.ndim == 1
assert var.dtype == np.float32
assert var[0] == 5
var.units = 'meters'
assert 'units' in var.ncattrs()
assert var.units == 'meters'
assert var.group() is ds
assert str(var) == ("<class 'metpy.io.cdm.Variable'>: float32 data(x)"
'\n\tunits: meters\n\tshape = 2')
def test_var():
"""Test `Variable` behavior."""
ds = Dataset()
ds.createDimension('x', 2)
var = ds.createVariable('data', 'f4', ('x',), 5)
assert 'data' in ds.variables
assert var.shape == (2,)
assert var.size == 2
assert var.ndim == 1
assert var.dtype == np.float32
assert var[0] == 5
var.units = 'meters'
assert 'units' in var.ncattrs()
assert var.units == 'meters'
assert var.group() is ds
assert str(var) == ("<class 'metpy.io.cdm.Variable'>: float32 data(x)"
'\n\tunits: meters\n\tshape = 2')
