diff options
| -rw-r--r-- | wqflask/wqflask/correlation_matrix/show_corr_matrix.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py index 1bc2fb2f..5a1f464b 100644 --- a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py +++ b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py @@ -231,13 +231,13 @@ class CorrelationMatrix(object): self.scale = pca.rx('scale') trait_array = zScore(self.trait_data_array) - trait_array = trait_array trait_array_vectors = np.dot(corr_eigen_vectors, trait_array) pca_traits = [] for i, vector in enumerate(trait_array_vectors): - if corr_eigen_value[i-1] < 100.0/len(self.trait_list): - pca_traits.append((vector*-1.0).tolist()) + #ZS: Check if below check is necessary + #if corr_eigen_value[i-1] > 100.0/len(self.trait_list): + pca_traits.append((vector*-1.0).tolist()) this_group_name = self.trait_list[0][1].group.name temp_dataset = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = this_group_name) @@ -298,7 +298,7 @@ def zScore(trait_data_array): def sortEigenVectors(vector): try: eigenValues = vector[0].tolist() - eigenVectors = vector[1].tolist() + eigenVectors = vector[1].T.tolist() combines = [] i = 0 for item in eigenValues: |