From 72c01fe48285725b24b76d7c6e82eee3148ad59e Mon Sep 17 00:00:00 2001
From: zsloan
Date: Wed, 31 Aug 2022 19:15:03 +0000
Subject: Move normf function out of quantile_normalize_vals so it can be
 imported by mapping api

---
 wqflask/wqflask/show_trait/show_trait.py | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

(limited to 'wqflask')

diff --git a/wqflask/wqflask/show_trait/show_trait.py b/wqflask/wqflask/show_trait/show_trait.py
index d9821d9c..c1d9ad84 100644
--- a/wqflask/wqflask/show_trait/show_trait.py
+++ b/wqflask/wqflask/show_trait/show_trait.py
@@ -550,21 +550,21 @@ def get_max_digits(trait_vals):
 
     return max_digits
 
-def quantile_normalize_vals(sample_groups, trait_vals):
-    def normf(trait_vals):
-        ranked_vals = ss.rankdata(trait_vals)
-        p_list = []
-        for i, val in enumerate(trait_vals):
-            p_list.append(((i + 1) - 0.5) / len(trait_vals))
+def normf(trait_vals):
+    ranked_vals = ss.rankdata(trait_vals)
+    p_list = []
+    for i, val in enumerate(trait_vals):
+        p_list.append(((i + 1) - 0.5) / len(trait_vals))
 
-        z = ss.norm.ppf(p_list)
+    z = ss.norm.ppf(p_list)
 
-        normed_vals = []
-        for rank in ranked_vals:
-            normed_vals.append("%0.3f" % z[int(rank) - 1])
+    normed_vals = []
+    for rank in ranked_vals:
+        normed_vals.append("%0.3f" % z[int(rank) - 1])
 
-        return normed_vals
+    return normed_vals
 
+def quantile_normalize_vals(sample_groups, trait_vals):
     qnorm_by_group = []
     for i, sample_type in enumerate(sample_groups):
         qnorm_vals = normf(trait_vals[i])
-- 
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