stuart-cls

class ComplexTable(Table):
    DTYPE = np.complex64

    @classmethod
    def from_table(cls, domain, source, row_indices=...):
        """
        Create a new table from selected columns and/or rows of an existing
        one. The columns are chosen using a domain. The domain may also include
        variables that do not appear in the source table; they are computed
        from source variables if possible.

stuart-cls

import numpy as np
import Orange
from Orange.preprocess.preprocess import Preprocess

### Functions ###

def _split_by_value(data, avar):
    # from owcurves.CurvePlot._split_by_color_value()
    rd = {}
    if isinstance(avar, str):