darfix.tests.utils.createDataset#
- darfix.tests.utils.createDataset(data, filter_data=False, header=None, _dir=None, in_memory=True, backend='hdf5')[source]#
Create a dataset from a configuration
- Parameters:
data (numpy.ndarray) – Images to form the data.
dark_frames (numpy.ndarray) – Images to form the dark frames.
filter_data (bool) – If True, the dataset created will divide the data between the ones with no intensity (or very low) and the others.
header (Union[None,array_like]) – List with a header per frame. If None, no header is added.
_dir (str or None) – Directory to save the temporary files.
backend (str) – can be ‘edf’ or ‘hdf5’ according to the data format we want to save the dataset to
:return
Dataset
: generated instance ofDataset
.