def _dset2rawniml_datatypes(s): data = s['data'] _, ncols = _dset_nrows_ncols(s) # XXX does not support mixed types datatype = ['Generic_Int' if types.numpy_data_isint(data) else 'Generic_Float'] * ncols return dict(atr_name='COLMS_TYPE', data=datatype)
def _dset2rawniml_datatypes(s): data = s['data'] _, ncols = _dset_nrows_ncols(s) # XXX does not support mixed types datatype = [ 'Generic_Int' if types.numpy_data_isint(data) else 'Generic_Float' ] * ncols return dict(atr_name='COLMS_TYPE', data=datatype)
def _dset2rawniml_datatypes(s): data = s["data"] _, ncols = _dset_nrows_ncols(s) # XXX does not support mixed types datatype = ["Generic_Int" if types.numpy_data_isint(data) else "Generic_Float"] * ncols return dict(atr_name="COLMS_TYPE", data=datatype)
def _dset2rawniml_datatypes(s): data = s['data'] ncols = data.shape[1] datatype = ['Generic_Int' if types.numpy_data_isint(data) else 'Generic_Float'] * ncols return dict(atr_name='COLMS_TYPE', data=datatype)