jjb: Set the X axis to a finer granularity for benchmark plots

[lttng-ci.git] / scripts / lttng-baremetal-tests / generate-plots.py

diff --git a/scripts/lttng-baremetal-tests/generate-plots.py b/scripts/lttng-baremetal-tests/generate-plots.py
index 30005cc8b56507585ddc8edcbfaa91f69a5ebf07..89f6084ec072889e15cc70fb4e13d036680f1565 100644 (file)
--- a/scripts/lttng-baremetal-tests/generate-plots.py
+++ b/scripts/lttng-baremetal-tests/generate-plots.py
@@ -101,14 +101,14 @@ def create_plot(df, graph_type):
 
         # Plot each line and its errorbars
         for (data, stdev) in  zip(data_cols, stdev_cols):
-            ax.errorbar(x=df.index.values, y=df[data], yerr=df[stdev], marker='o')
+            ax.errorbar(x=df.index.values, y=df[data].values, yerr=df[stdev].values, marker='o')
 
         ax.set_ylim(0)
         ax.grid()
         ax.set_xlabel('Jenkins Build ID')
         ax.set_ylabel('Meantime per syscall [us]')
 
-        ax.xaxis.set_major_locator(MaxNLocator(integer=True))
+        ax.xaxis.set_major_locator(MaxNLocator(integer=True, nbins=30))
 
         ax.legend(prop={'family': 'monospace'},
                     labels=curr_df.columns.values, bbox_to_anchor=(1.2,1))
@@ -123,7 +123,11 @@ def create_metadata_file(res_dir):
     for dirname, dirnames, res_files in os.walk('./'+res_dir):
         if len(dirnames) > 0:
             continue
-        metadata = pd.read_csv(os.path.join(dirname, 'metadata.csv'))
+        try:
+            metadata = pd.read_csv(os.path.join(dirname, 'metadata.csv'))
+        except Exception:
+            print('Omitting run {} because metadata.csv is missing'.format(dirname))
+            continue
         list_.append(metadata)
 
     df = pd.concat(list_)
@@ -140,7 +144,11 @@ def create_plots(res_dir):
     for dirname, dirnames, res_files in os.walk('./'+res_dir):
         if len(dirnames) > 0:
             continue
-        metadata = pd.read_csv(os.path.join(dirname, 'metadata.csv'))
+        try:
+            metadata = pd.read_csv(os.path.join(dirname, 'metadata.csv'))
+        except Exception:
+            print('Omitting run {} because metadata.csv is missing'.format(dirname))
+            continue
 
         for res in res_files:
             if res in 'metadata.csv':