neurosynth/base/dataset.py
def get_features_by_ids(self, ids=None, threshold=0.0001, func=np.mean,
                            get_weights=False):
        ''' Returns features for which the mean loading across all specified
        studies (in ids) is >= threshold. '''
        weights = self.data.ix[ids].apply(func, 0)
        above_thresh = weights[weights >= threshold]
        return above_thresh if get_weights else list(above_thresh.index)
def get_features_by_ids(self, ids=None, threshold=0.0001, func=np.mean,
                            get_weights=False):
        ''' Returns features for which the mean loading across all specified
        studies (in ids) is >= threshold. '''
        weights = self.data.ix[ids].apply(func, 0)
        above_thresh = weights[weights >= threshold]
        return above_thresh if get_weights else list(above_thresh.index)
Returns features for which the mean loading across all specified
        studies (in ids) is >= threshold.