diff options
| -rw-r--r-- | resources/tools/presentation/generator_tables.py | 8 |
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) |