def test_fill_nan(self):
"""
Tests :func:`colour.utilities.array.fill_nan` definition.
"""
a = np.array([0.1, 0.2, np.nan, 0.4, 0.5])
np.testing.assert_almost_equal(
fill_nan(a), np.array([0.1, 0.2, 0.3, 0.4, 0.5]), decimal=7)
np.testing.assert_almost_equal(
fill_nan(a, method='Constant', default=8.0),
np.array([0.1, 0.2, 8.0, 0.4, 0.5]),
decimal=7)
def _fill_range_nan(
self,
method: Union[
Literal["Constant", "Interpolation"], str
] = "Interpolation",
default: Number = 0,
):
"""
Fill NaNs in corresponding range variable :math:`y` using given method.
Parameters
----------
method
*Interpolation* method linearly interpolates through the NaNs,
*Constant* method replaces NaNs with ``default``.
default
Value to use with the *Constant* method.
Returns
-------
:class:`colour.continuous.Signal`
NaNs filled continuous signal i corresponding range :math:`y`
variable.
"""
self._range = fill_nan(self._range, method, default)
self._create_function()
def _fill_range_nan(self, method='Interpolation', default=0):
"""
Fill NaNs in corresponding range :math:`y` variable using given method.
Parameters
----------
method : unicode, optional
**{'Interpolation', 'Constant'}**,
*Interpolation* method linearly interpolates through the NaNs,
*Constant* method replaces NaNs with ``default``.
default : numeric, optional
Value to use with the *Constant* method.
Returns
-------
Signal
NaNs filled continuous signal i corresponding range :math:`y`
variable.
"""
self._range = fill_nan(self._range, method, default)
self._create_function()
def _fill_range_nan(self, method='Interpolation', default=0):
"""
Fill NaNs in corresponding range :math:`y` variable using given method.
Parameters
----------
method : unicode, optional
**{'Interpolation', 'Constant'}**,
*Interpolation* method linearly interpolates through the NaNs,
*Constant* method replaces NaNs with ``default``.
default : numeric, optional
Value to use with the *Constant* method.
Returns
-------
Signal
NaNs filled continuous signal i corresponding range :math:`y`
variable.
"""
self._range = fill_nan(self._range, method, default)
self._create_function()
