def test_signal_unpack_data(self):
"""
Tests :func:`colour.continuous.signal.Signal.signal_unpack_data`
method.
"""
domain, range_ = Signal.signal_unpack_data(self._range)
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, np.arange(0, 10, 1))
domain, range_ = Signal.signal_unpack_data(self._range, self._domain)
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, self._domain)
domain, range_ = Signal.signal_unpack_data(
dict(zip(self._domain, self._range)))
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, self._domain)
domain, range_ = Signal.signal_unpack_data(
Signal(self._range, self._domain))
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, self._domain)
if is_pandas_installed():
from pandas import Series
domain, range_ = Signal.signal_unpack_data(
Series(dict(zip(self._domain, self._range))))
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, self._domain)
def test_signal_unpack_data(self):
"""
Tests :func:`colour.continuous.signal.Signal.signal_unpack_data`
method.
"""
domain, range_ = Signal.signal_unpack_data(self._range)
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, np.arange(0, 10, 1))
domain, range_ = Signal.signal_unpack_data(self._range, self._domain)
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, self._domain)
domain, range_ = Signal.signal_unpack_data(
dict(zip(self._domain, self._range)))
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, self._domain)
domain, range_ = Signal.signal_unpack_data(
Signal(self._range, self._domain))
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, self._domain)
if is_pandas_installed():
from pandas import Series
domain, range_ = Signal.signal_unpack_data(
Series(dict(zip(self._domain, self._range))))
np.testing.assert_array_equal(range_, self._range)
np.testing.assert_array_equal(domain, self._domain)
def read(self):
"""
Reads and parses the spectral data JSON file path.
Returns
-------
bool
Definition success.
"""
with open(self._path, 'r') as json_file:
content = json.load(json_file)
self._header = SpectralDataHeader_AMPAS(**content['header'])
for attribute in ('units', 'reflection_geometry',
'transmission_geometry', 'bandwidth_FWHM',
'bandwidth_corrected'):
setattr(self, '_{0}'.format(attribute),
content['spectral_data'][attribute])
index = content['spectral_data']['index']['main']
data = content['spectral_data']['data']['main']
if len(index) == 1:
self.domain, self.range = Signal.signal_unpack_data(
{k: v[0]
for k, v in data.items()})
else:
self.signals = MultiSignals.multi_signals_unpack_data(data,
labels=index)
# TODO: Re-instate "manufacturer", "model", "illuminant" and "type"
# attributes according to outcome of
# https://github.com/ampas/rawtoaces/issues/114.
if ('manufacturer' in self._header._kwargs
and 'model' in self._header._kwargs):
self.name = '{0} {1}'.format(self._header._kwargs['manufacturer'],
self._header._kwargs['model'])
elif 'illuminant' in self._header._kwargs:
self.name = self._header._kwargs['illuminant']
elif 'type' in self._header._kwargs:
self.name = self._header._kwargs['type']
return self
