Function check_consistent_length

sklearn/utils/validation.py:439–461

Check that all arrays have consistent first dimensions. Checks whether all objects in arrays have the same shape or length. Parameters ---------- *arrays : list or tuple of input objects. Objects that will be checked for consistent length. Examples -------- >>>

(*arrays)

def check_consistent_length(*arrays):
    """Check that all arrays have consistent first dimensions.

    Checks whether all objects in arrays have the same shape or length.

    Parameters
    ----------
    *arrays : list or tuple of input objects.
        Objects that will be checked for consistent length.

    Examples
    --------
    >>> from sklearn.utils.validation import check_consistent_length
    >>> a = [1, 2, 3]
    >>> b = [2, 3, 4]
    >>> check_consistent_length(a, b)
    """
    lengths = [_num_samples(X) for X in arrays if X is not None]
    if len(set(lengths)) > 1:
        raise ValueError(
            "Found input variables with inconsistent numbers of samples: %r"
            % [int(l) for l in lengths]
        )


def _make_indexable(iterable):