From a3d83256b1e4e25b1542e32d61d912c57ab9a70a Mon Sep 17 00:00:00 2001
From: Lei Yan
Date: Thu, 17 Oct 2013 17:56:39 -0500
Subject: Sample objects are now passed to js_data for drawing the correlation
 scatter plot

---
 wqflask/utility/corr_result_helpers.py           | 26 ++++++++++++++++++++++++
 wqflask/wqflask/correlation/corr_scatter_plot.py | 11 ++++++----
 wqflask/wqflask/views.py                         |  3 ++-
 3 files changed, 35 insertions(+), 5 deletions(-)

(limited to 'wqflask')

diff --git a/wqflask/utility/corr_result_helpers.py b/wqflask/utility/corr_result_helpers.py
index edf32449..a253026c 100644
--- a/wqflask/utility/corr_result_helpers.py
+++ b/wqflask/utility/corr_result_helpers.py
@@ -25,6 +25,32 @@ def normalize_values(a_values, b_values):
     return a_new, b_new, num_overlap
 
 
+def common_keys(a_samples, b_samples):
+    """
+    >>> a = dict(BXD1 = 9.113, BXD2 = 9.825, BXD14 = 8.985, BXD15 = 9.300)
+    >>> b = dict(BXD1 = 9.723, BXD3 = 9.825, BXD14 = 9.124, BXD16 = 9.300)
+    >>> sorted(common_keys(a, b))
+    ['BXD1', 'BXD14']
+    """
+    return set(a_samples.keys()).intersection(set(b_samples.keys()))
+
+
+def normalize_values_with_samples(a_samples, b_samples):
+    common_samples = common_keys(a_samples, b_samples)
+    
+    a_new = {}
+    b_new = {}
+    for sample in common_samples:
+        a_new[sample] = a_samples[sample]
+        b_new[sample] = b_samples[sample]
+        
+    num_overlap = len(a_new)
+    assert num_overlap == len(b_new), "Lengths should be the same"
+    
+    return a_new, b_new, num_overlap
+
+
+
 if __name__ == '__main__':
     import doctest
     doctest.testmod()
\ No newline at end of file
diff --git a/wqflask/wqflask/correlation/corr_scatter_plot.py b/wqflask/wqflask/correlation/corr_scatter_plot.py
index c3ae110d..dd4e439a 100644
--- a/wqflask/wqflask/correlation/corr_scatter_plot.py
+++ b/wqflask/wqflask/correlation/corr_scatter_plot.py
@@ -20,9 +20,12 @@ class CorrScatterPlot(object):
         for sample in self.trait_2.data.keys():
             vals_2.append(self.trait_2.data[sample].value)
             
-        vals_1, vals_2, num_overlap = corr_result_helpers.normalize_values(vals_1, vals_2)
+        samples_1, samples_2, num_overlap = corr_result_helpers.normalize_values_with_samples(
+                                                self.trait_1.data, self.trait_2.data)
         
         self.js_data = dict(
-            vals_1 = vals_1,
-            vals_2 = vals_2
-        )
\ No newline at end of file
+            samples_1 = samples_1,
+            samples_2 = samples_2
+        )
+        
+        print("Self.js_data:", self.js_data)
\ No newline at end of file
diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py
index e6b99649..4cf540f6 100644
--- a/wqflask/wqflask/views.py
+++ b/wqflask/wqflask/views.py
@@ -32,8 +32,9 @@ from base.data_set import create_datasets_list
 from wqflask.show_trait import show_trait
 from wqflask.show_trait import export_trait_data
 from wqflask.marker_regression import marker_regression
-from wqflask.interval_mapping import interval_mapping
+#from wqflask.interval_mapping import interval_mapping
 from wqflask.correlation import show_corr_results
+from wqflask.correlation import corr_scatter_plot
 from utility import temp_data
 
 from wqflask.dataSharing import SharingInfo, SharingInfoPage
-- 
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