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-rw-r--r--wqflask/wqflask/correlation/show_corr_results.py19
1 files changed, 7 insertions, 12 deletions
diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py
index 394c113d..17d3de54 100644
--- a/wqflask/wqflask/correlation/show_corr_results.py
+++ b/wqflask/wqflask/correlation/show_corr_results.py
@@ -489,25 +489,20 @@ def generate_corr_json(corr_results, this_trait, dataset, target_dataset, for_ap
results_dict['dataset'] = trait.dataset.name
if target_dataset.type == "ProbeSet":
results_dict['symbol'] = trait.symbol
- if len(trait.description_display) > 40:
- results_dict['description'] = trait.description_display[:40] + "..."
- else:
- results_dict['description'] = trait.description_display
- results_dict['description'] = trait.description_display
+ results_dict['description'] = "N/A"
results_dict['location'] = trait.location_repr
+ results_dict['mean'] = "N/A"
+ results_dict['lrs_score'] = "N/A"
+ results_dict['additive'] = "N/A"
+ if trait.description_display:
+ results_dict['description'] = trait.description_display
if trait.mean and trait.mean != "":
results_dict['mean'] = float(trait.mean)
- else:
- results_dict['mean'] = "N/A"
if trait.LRS_score_repr != "N/A":
results_dict['lrs_score'] = "%.1f" % float(trait.LRS_score_repr)
- else:
- results_dict['lrs_score'] = "N/A"
results_dict['lrs_location'] = trait.LRS_location_repr
if trait.additive and trait.additive != "":
results_dict['additive'] = "%0.3f" % float(trait.additive)
- else:
- results_dict['additive'] = "N/A"
results_dict['sample_r'] = "%0.3f" % float(trait.sample_r)
results_dict['num_overlap'] = trait.num_overlap
results_dict['sample_p'] = "%0.3e" % float(trait.sample_p)
@@ -558,7 +553,7 @@ def generate_corr_json(corr_results, this_trait, dataset, target_dataset, for_ap
results_dict['num_overlap'] = trait.num_overlap
results_dict['sample_p'] = "%0.3e" % float(trait.sample_p)
else:
- results_dict['lrs_location'] = trait.LRS_location_repr
+ results_dict['location'] = trait.location_repr
results_dict['sample_r'] = "%0.3f" % trait.sample_r
results_dict['num_overlap'] = trait.num_overlap
results_dict['sample_p'] = "%0.3e" % float(trait.sample_p)