72e735a98644b76208d558c0b85150190594c5b1,statsmodels/tools/tools.py,,add_constant,#,281

Before Change

    if is_nonzero_const.any():
        if has_constant == "skip":
            return x
        elif has_constant == "raise":
            raise ValueError("data already contains a constant")

    x = [np.ones(x.shape[0]), x]

After Change

    if is_nonzero_const.any():
        if has_constant == "skip":
            return x
        elif has_constant == "raise":
            if ndim == 1:
                raise ValueError("data is constant.")
            else:
                columns = np.arange(x.shape[1])
                cols = ",".join([str(c) for c in columns[is_nonzero_const]])
                raise ValueError(f"Column(s) {cols} are constant.")

    x = [np.ones(x.shape[0]), x]
    x = x if prepend else x[::-1]

Instances