Better hist

benchmarks/scripts/analyze.py

@@ -195,19 +195,25 @@ def coverage(args):
 
 
 def case_variants(pattern, algname, ct_point_name, case_df):
-    print("{}[{}]:".format(algname, ct_point_name))
-    mask = case_df['variant'].str.contains(pattern, regex=True)
-    # df = case_df[mask][['variant', 'speedup'] + get_rt_axes(case_df)]
-
-    for _, row in case_df[mask].iterrows():
-        data = {row['variant']: row['samples'],
-                'base': row['base_samples']}
-        sns.displot(data)
-        description = algname + ' / ' + row['variant']
-        for rt_axis in get_rt_axes(case_df):
+    title = "{}[{}]:".format(algname, ct_point_name)
+    df = case_df[case_df['variant'].str.contains(pattern, regex=True)].reset_index(drop=True)
+    num_rows = len(df)
+
+    fig, axes = plt.subplots(nrows=num_rows, ncols=1, gridspec_kw = {'wspace': 0, 'hspace': 0})
+    for id, row in df.iterrows():
+        description = row['variant']
+        for rt_axis in get_rt_axes(df):
             description += ' / ' + rt_axis + '=' + row[rt_axis]
-        plt.title(description)
-        plt.show()
+        data = {description: row['samples'],
+                'base': row['base_samples']}
+        sns.histplot(data, ax=axes[id], kde=True)
+
+    for ax in axes.flat:
+        ax.set_xticklabels([])
+
+    fig.suptitle(title)
+    plt.tight_layout()
+    plt.show()