73675264dd48387319f62780b52d81389016cc1f,neurosynth/base/dataset.py,FeatureTable,get_ids,#FeatureTable#Any#Any#Any#Any#,546

Before Change

        feature_indices = np.in1d(np.array(self.feature_names), np.array(features))
        data = self.data.toarray()
        feature_weights = data[:, feature_indices]
        weights = eval("np.%s(tw, 1)" % func, {}, {
                       "np": np, "tw": feature_weights})  // Safe eval
        above_thresh = (weights >= threshold)
        ids_to_keep = self.ids[above_thresh]
        if get_weights:

After Change

            features = [features]
        features = self.search_features(features)  // Expand wild cards
        feature_weights = self.data.ix[:, features]
        weights = feature_weights.apply(func, 1)
        above_thresh = weights[weights >= threshold]
        // ids_to_keep = self.ids[above_thresh]
        return above_thresh if get_weights else list(above_thresh.index)

Instances