Add plot_parametrized.py script

scripts/plot_parametrized.py

@@ -0,0 +1,32 @@
+#!/usr/bin/python
+
+"""This program shows parametrized `hyperfine` benchmark results as an
+errorbar plot."""
+
+import argparse
+import json
+import matplotlib.pyplot as plt
+
+parser = argparse.ArgumentParser(description=__doc__)
+parser.add_argument("file", help="JSON file with benchmark results", nargs="+")
+parser.add_argument("--parameter-name", metavar="name", type=str,
+                    help="Name of the parameter / x-axis label")
+args = parser.parse_args()
+
+for filename in args.file:
+    with open(filename) as f:
+        results = json.load(f)["results"]
+
+    parameter_values = [float(b["parameter"]) for b in results]
+    times_mean = [b["mean"] for b in results]
+    times_stddev = [b["stddev"] for b in results]
+
+    plt.errorbar(x=parameter_values,
+                 y=times_mean,
+                 yerr=times_stddev,
+                 capsize=2)
+
+plt.xlabel(args.parameter_name)
+plt.ylabel("Time [s]")
+plt.ylim(0, None)
+plt.show()