def _values_mask(data: np.ndarray, col: int) -> \
Tuple[np.ndarray, np.ndarray]:
try:
values = data[:, col]
except IndexError:
values = np.array([], dtype=object)
return values, isnastr(values)
def _cont_column(data: np.ndarray, col: int,
offset=0, **_) -> _ColumnProperties:
orig_vals, namask = _TableBuilder._values_mask(data, col)
values = np.empty(data.shape[0], dtype=float)
try:
np.copyto(values, orig_vals, casting="unsafe", where=~namask)
values[namask] = np.nan
except ValueError:
row = 0
for row, num in enumerate(orig_vals):
if not isnastr(num):
try:
float(num)
except ValueError:
break
raise ValueError(f'Non-continuous value in (1-based) '
f'line {row + offset + 1}, column {col + 1}')
return _ColumnProperties(values=values, coltype=ContinuousVariable,
orig_values=orig_vals)