From 81cbecf8e9623b78d05a116a8dc3e9bbc380b858 Mon Sep 17 00:00:00 2001 From: Hanbin Lee Date: Mon, 18 Nov 2024 10:25:28 -0500 Subject: [PATCH] remove comments; eigen_values -> eigenvalues --- python/tskit/trees.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/python/tskit/trees.py b/python/tskit/trees.py index ad4ebfe939..35e7da36ff 100644 --- a/python/tskit/trees.py +++ b/python/tskit/trees.py @@ -8626,7 +8626,7 @@ def _genetic_relatedness_vector_individual( samples, sample_individuals = ( ij[:, 0], ij[:, 1], - ) # sample node index, individual of those nodes + ) x = ( arr - arr.mean(axis=0) if centre else arr ) # centering within index in rows @@ -8858,7 +8858,7 @@ def _G(x): if drop_windows: U, D, Q = U[0], D[0], Q[0] - pca_result = PCAResult(factors=U, eigen_values=D, range_sketch=Q, error_bound=E) + pca_result = PCAResult(factors=U, eigenvalues=D, range_sketch=Q, error_bound=E) return pca_result @@ -10455,7 +10455,7 @@ class PCAResult: The principal component factors. Columns are orthogonal, with one entry per sample or individual (see :meth:`pca <.TreeSequence.pca>`). """ - eigen_values: np.ndarray + eigenvalues: np.ndarray """ Eigenvalues of the genetic relatedness matrix. """