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-rw-r--r--wqflask/wqflask/show_trait/show_trait.py23
1 files changed, 13 insertions, 10 deletions
diff --git a/wqflask/wqflask/show_trait/show_trait.py b/wqflask/wqflask/show_trait/show_trait.py
index f1bd6f27..30b03e66 100644
--- a/wqflask/wqflask/show_trait/show_trait.py
+++ b/wqflask/wqflask/show_trait/show_trait.py
@@ -43,8 +43,6 @@ logger = getLogger(__name__ )
class ShowTrait(object):
def __init__(self, kw):
- logger.debug("in ShowTrait, kw are:", kw)
-
if 'trait_id' in kw and kw['dataset'] != "Temp":
self.temp_trait = False
self.trait_id = kw['trait_id']
@@ -152,6 +150,7 @@ class ShowTrait(object):
#self.nearest_marker1 = ""
#self.nearest_marker2 = ""
+
self.make_sample_lists()
self.qnorm_vals = quantile_normalize_vals(self.sample_groups)
@@ -397,6 +396,7 @@ class ShowTrait(object):
return_results_menu_selected = return_results_menu_selected,)
def make_sample_lists(self):
+
all_samples_ordered = self.dataset.group.all_samples_ordered()
parent_f1_samples = []
@@ -405,13 +405,18 @@ class ShowTrait(object):
primary_sample_names = list(all_samples_ordered)
+
if not self.temp_trait:
other_sample_names = []
- for sample in self.this_trait.data.keys():
- if (self.this_trait.data[sample].name2 in primary_sample_names) and (self.this_trait.data[sample].name not in primary_sample_names):
- primary_sample_names.append(self.this_trait.data[sample].name)
- primary_sample_names.remove(self.this_trait.data[sample].name2)
- elif sample not in all_samples_ordered:
+
+ for sample in self.this_trait.data:
+ if self.this_trait.data[sample].name2 != self.this_trait.data[sample].name:
+ if (self.this_trait.data[sample].name2 in primary_sample_names) and (self.this_trait.data[sample].name not in primary_sample_names):
+ primary_sample_names.append(self.this_trait.data[sample].name)
+ primary_sample_names.remove(self.this_trait.data[sample].name2)
+
+ all_samples_set = set(all_samples_ordered)
+ if sample not in all_samples_set:
all_samples_ordered.append(sample)
other_sample_names.append(sample)
@@ -424,6 +429,7 @@ class ShowTrait(object):
primary_header = "%s Only" % (self.dataset.group.name)
else:
primary_header = "Samples"
+
primary_samples = SampleList(dataset = self.dataset,
sample_names=primary_sample_names,
this_trait=self.this_trait,
@@ -523,9 +529,7 @@ def get_z_scores(sample_groups):
def get_nearest_marker(this_trait, this_db):
this_chr = this_trait.locus_chr
- logger.debug("this_chr:", this_chr)
this_mb = this_trait.locus_mb
- logger.debug("this_mb:", this_mb)
#One option is to take flanking markers, another is to take the two (or one) closest
query = """SELECT Geno.Name
FROM Geno, GenoXRef, GenoFreeze
@@ -536,7 +540,6 @@ def get_nearest_marker(this_trait, this_db):
ORDER BY ABS( Geno.Mb - {}) LIMIT 1""".format(this_chr, this_db.group.name+"Geno", this_mb)
logger.sql(query)
result = g.db.execute(query).fetchall()
- logger.debug("result:", result)
if result == []:
return ""