def _mixedtypes_datastring2rawniml(s, niml):
tps = niml['vec_typ']
ncols = len(tps)
nrows = niml['vec_len']
lines = s.strip().split(_TEXT_ROWSEP)
if len(lines) != nrows:
raise ValueError("Expected %d rows, but found %d" %
(nrows, len(lines)))
elems = map(lambda x: x.strip().split(_TEXT_COLSEP), lines)
fs = map(types.code2python_convertor, tps)
data = []
for col in xrange(ncols):
f = fs[col]
if types.sametype(tps[col], 'String'):
d = map(f, [elems[r][col] for r in xrange(nrows)])
else:
tp = types.code2numpy_type(tps[col])
niform = niml.get('ni_form', None)
if not niform is None:
raise ValueError(
'Not supported: have ni_form with mixed types')
d = np.zeros((nrows, ), dtype=tp) # allocate one-dimensional array
for r in xrange(nrows):
d[r] = f(elems[r][col])
data.append(d)
return data
def _mixedtypes_datastring2rawniml(s, niml):
tps = niml['vec_typ']
ncols = len(tps)
nrows = niml['vec_len']
lines = s.strip().split(_TEXT_ROWSEP)
if len(lines) != nrows:
raise ValueError("Expected %d rows, but found %d" % (nrows, len(lines)))
elems = map(lambda x : x.strip().split(_TEXT_COLSEP), lines)
fs = map(types.code2python_convertor, tps)
data = []
for col in xrange(ncols):
f = fs[col]
if types.sametype(tps[col], 'String'):
d = map(f, [elems[r][col] for r in xrange(nrows)])
else:
tp = types.code2numpy_type(tps[col])
niform = niml.get('ni_form', None)
if not niform is None:
raise ValueError('Not supported: have ni_form with mixed types')
d = np.zeros((nrows,), dtype=tp) # allocate one-dimensional array
for r in xrange(nrows):
d[r] = f(elems[r][col])
data.append(d)
return data
