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-rw-r--r--resources/tools/presentation/generator_tables.py8
1 files changed, 6 insertions, 2 deletions
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index 406ec85b2d..c41c6de004 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -726,7 +726,11 @@ def table_performance_trending_dashboard(table, input_data):
median = pd_data.rolling(window=win_size, min_periods=2).median()
median_idx = pd_data.size - table["long-trend-window"]
median_idx = 0 if median_idx < 0 else median_idx
- max_median = max(median.values[median_idx:])
+ try:
+ max_median = max([x for x in median.values[median_idx:]
+ if not isnan(x)])
+ except ValueError:
+ max_median = None
trimmed_data, _ = split_outliers(pd_data, outlier_const=1.5,
window=win_size)
stdev_t = pd_data.rolling(window=win_size, min_periods=2).std()
@@ -830,7 +834,7 @@ def table_performance_trending_dashboard(table, input_data):
if not isnan(sample_lst[index]) else '-'
rel_change = rel_change_lst[index] \
if rel_change_lst[index] is not None else '-'
- if not isnan(max_median):
+ if max_median is not None:
if not isnan(sample_lst[index]):
long_trend_threshold = \
max_median * (table["long-trend-threshold"] / 100)