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54 lines
1.4 KiB
Python
Executable File
54 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python
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"""This program shows `hyperfine` benchmark results as a histogram."""
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import argparse
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import json
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import numpy as np
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import matplotlib.pyplot as plt
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("file", help="JSON file with benchmark results")
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parser.add_argument("--title", help="Plot title")
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parser.add_argument(
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"--labels", help="Comma-separated list of entries for the plot legend"
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)
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parser.add_argument("--bins", help="Number of bins (default: auto)")
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parser.add_argument(
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"--type", help="Type of histogram (*bar*, barstacked, step, stepfilled)"
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)
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parser.add_argument(
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"-o", "--output", help="Save image to the given filename."
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)
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args = parser.parse_args()
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with open(args.file) as f:
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results = json.load(f)["results"]
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if args.labels:
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labels = args.labels.split(",")
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else:
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labels = [b["command"] for b in results]
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all_times = [b["times"] for b in results]
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t_min = np.min(list(map(np.min, all_times)))
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t_max = np.max(list(map(np.max, all_times)))
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bins = int(args.bins) if args.bins else "auto"
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histtype = args.type if args.type else "bar"
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plt.hist(
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all_times, label=labels, bins=bins, histtype=histtype, range=(t_min, t_max),
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)
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plt.legend(prop={"family": ["Source Code Pro", "Fira Mono", "Courier New"]})
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plt.xlabel("Time [s]")
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if args.title:
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plt.title(args.title)
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if args.output:
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plt.savefig(args.output)
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else:
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plt.show()
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