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ci.eval.compare: make the table format using tabulate not manually

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Philip Taron
2025-09-16 17:17:16 -07:00
parent 4eaa094f20
commit 3edc1e204e
1 changed files with 9 additions and 18 deletions
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25
ci/eval/compare/cmp-stats.py
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@@ -95,25 +95,16 @@ def dataframe_to_markdown(df: pd.DataFrame) -> str:
# Header (get column names and format them) # Header (get column names and format them)
headers = [str(column) for column in df.columns] headers = [str(column) for column in df.columns]
table = [] table = [
[
# Iterate over rows to build Markdown rows row["metric"],
for _, row in df.iterrows():
# Check for no change and NaN in p_value/t_stat # Check for no change and NaN in p_value/t_stat
row_values = [] *[None if np.isnan(val) or np.allclose(val, 0) else val for val in row[1:]],
for val in row: ]
if isinstance(val, (float, int)): for _, row in df.iterrows()
if np.isnan(val): ]
row_values.append("-") # Custom symbol for NaN
elif val == 0:
row_values.append("-") # Custom symbol for no change
else:
row_values.append(f"{val:.4f}")
else:
row_values.append(str(val))
table.append(row_values)
return tabulate(table, headers, tablefmt="github") return tabulate(table, headers, tablefmt="github", floatfmt=".4f", missingval="-")
def perform_pairwise_tests(before_metrics: dict, after_metrics: dict) -> pd.DataFrame: def perform_pairwise_tests(before_metrics: dict, after_metrics: dict) -> pd.DataFrame: