X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;ds=sidebyside;f=resources%2Ftools%2Fpresentation%2Futils.py;h=f118afca1dd7290ab94360d9e7c3cf2ad2d5e219;hb=0a8855adbb30a6079a538bea179a13988fdc20c0;hp=a15742a21f55f3798182e0609271779ad82d0963;hpb=52f64f232293130904d54a62609eaffc1b145608;p=csit.git

diff --git a/resources/tools/presentation/utils.py b/resources/tools/presentation/utils.py
index a15742a21f..f118afca1d 100644
--- a/resources/tools/presentation/utils.py
+++ b/resources/tools/presentation/utils.py
@@ -92,16 +92,6 @@ def remove_outliers(input_list, outlier_const=1.5, window=14):
             result_lst.append(y)
     return result_lst
 
-    # input_series = pd.Series()
-    # for index, value in enumerate(input_list):
-    #     item_pd = pd.Series([value, ], index=[index, ])
-    #     input_series.append(item_pd)
-    # output_series, _ = split_outliers(input_series, outlier_const=outlier_const,
-    #                                   window=window)
-    # output_list = [y for x, y in output_series.items() if not np.isnan(y)]
-    #
-    # return output_list
-
 
 def split_outliers(input_series, outlier_const=1.5, window=14):
     """Go through the input data and generate two pandas series:
@@ -133,9 +123,9 @@ def split_outliers(input_series, outlier_const=1.5, window=14):
         q1 = np.percentile(y_rolling_array, 25)
         q3 = np.percentile(y_rolling_array, 75)
         iqr = (q3 - q1) * outlier_const
-        low, high = q1 - iqr, q3 + iqr
+        low = q1 - iqr
         item_pd = pd.Series([item_y, ], index=[item_x, ])
-        if low <= item_y <= high:
+        if low <= item_y:
             trimmed_data = trimmed_data.append(item_pd)
         else:
             outliers = outliers.append(item_pd)