Things concerned with types and type-checking in PyMVPA
Functions
accepts_dataset_as_samples(fx) | Decorator to extract samples from Datasets. |
as_char(x) | Identity mapping in python2 |
asobjarray(x) | Generates numpy.ndarray with dtype object from an iterable Is needed to assure object dtype, so first empty array of dtype=object needs to be constructed and then only items to be assigned. |
is_datasetlike(obj) | Check if an object looks like a Dataset. |
is_sequence_type | isSequenceType(a) – Return True if a has a sequence type, False otherwise. |