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author | zsloan | 2021-09-03 15:01:34 +0000 |
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committer | zsloan | 2021-09-03 15:01:34 +0000 |
commit | f4297bc9e4c49f58e0759d02d3e7aea392ba5615 (patch) | |
tree | eb72bfc988358e9036e8d193a88e4d4aab52f84c | |
parent | 8af212bc7eac5b39e8e6838df446a4003633a55e (diff) | |
download | genenetwork2-f4297bc9e4c49f58e0759d02d3e7aea392ba5615.tar.gz |
Allow categorical_var_list to be passed as a template variable
-rw-r--r-- | wqflask/wqflask/show_trait/show_trait.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/wqflask/wqflask/show_trait/show_trait.py b/wqflask/wqflask/show_trait/show_trait.py index 3f93bae0..c4d1ae1c 100644 --- a/wqflask/wqflask/show_trait/show_trait.py +++ b/wqflask/wqflask/show_trait/show_trait.py @@ -178,11 +178,11 @@ class ShowTrait: self.sample_group_types['samples_primary'] = self.dataset.group.name sample_lists = [group.sample_list for group in self.sample_groups] - categorical_var_list = [] + self.categorical_var_list = [] self.numerical_var_list = [] if not self.temp_trait: # ZS: Only using first samplelist, since I think mapping only uses those samples - categorical_var_list = get_categorical_variables( + self.categorical_var_list = get_categorical_variables( self.this_trait, self.sample_groups[0]) self.numerical_var_list = get_numerical_variables( self.this_trait, self.sample_groups[0]) @@ -287,8 +287,8 @@ class ShowTrait: hddn['study_samplelists'] = json.dumps(study_samplelist_json) hddn['num_perm'] = 0 hddn['categorical_vars'] = "" - if categorical_var_list: - hddn['categorical_vars'] = ",".join(categorical_var_list) + if self.categorical_var_list: + hddn['categorical_vars'] = ",".join(self.categorical_var_list) hddn['manhattan_plot'] = "" hddn['control_marker'] = "" if not self.temp_trait: @@ -323,7 +323,7 @@ class ShowTrait: has_num_cases=self.has_num_cases, attributes=self.sample_groups[0].attributes, categorical_attr_exists=self.categorical_attr_exists, - categorical_vars=",".join(categorical_var_list), + categorical_vars=",".join(self.categorical_var_list), num_values=self.num_values, qnorm_values=self.qnorm_vals, zscore_values=self.z_scores, |