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authorTibor Frank <tifrank@cisco.com>2018-04-24 07:28:44 +0200
committerTibor Frank <tifrank@cisco.com>2018-04-24 07:28:44 +0200
commit79e508504fcd6b5b677e567eb09092c5e0821790 (patch)
treeb02ac7500cf9c696cc0955573eb0796bf031493d /resources/tools/presentation/utils.py
parent52f64f232293130904d54a62609eaffc1b145608 (diff)
CSIT-1041: Trending dashboard
Change-Id: Ida3dfcc4a7ae21424e7f6b6db597a80bc633b9da Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/presentation/utils.py')
-rw-r--r--resources/tools/presentation/utils.py10
1 files changed, 0 insertions, 10 deletions
diff --git a/resources/tools/presentation/utils.py b/resources/tools/presentation/utils.py
index a15742a21f..4277aa0334 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: