mindscience.data.TimeDomain

class mindscience.data.TimeDomain(name, start=0.0, end=1.0, dtype=numpy.float32, sampling_config=None)[source]

Definition of Time Domain.

Parameters

name (str) – Name of the time domain.
start (Union[int, float]) – Start of the time domain. Default: 0.0.
end (Union[int, float]) – End of the time domain. Default: 1.0.
dtype (numpy.dtype) – Data type of sampled point data type. Default: numpy.float32.
sampling_config (SamplingConfig) – Sampling configuration. Default: None.

Examples

>>> from mindscience.data import generate_sampling_config, TimeDomain
>>> time_config = dict({
...     'domain': dict({
...         'random_sampling': True,
...         'size': 100,
...         'sampler': 'lhs'
...     })
... })
>>> time_domain = TimeDomain("time", 0.0, 1.0, sampling_config=generate_sampling_config(time_config))
>>> domain = time_domain.sampling(geom_type="domain")
>>> print(domain.shape)
(100, 1)