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Add parameters to plotting scripts
Add `imgname` parameter to be able to save a plot to a file instead of showing it. Use-case: platforms without GUI like docker containers. Add `labels` parameter to histogram plot. Use-case: replacing long commands with human friendly labels.
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@@ -10,16 +10,23 @@ import matplotlib.pyplot as plt
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parser = argparse.ArgumentParser(description=__doc__)
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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("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("--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("--bins", help="Number of bins (default: auto)")
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parser.add_argument(
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parser.add_argument(
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"--type", help="Type of histogram (*bar*, barstacked, step, stepfilled)"
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"--type", help="Type of histogram (*bar*, barstacked, step, stepfilled)"
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)
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)
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parser.add_argument("--imgname", help="Save image to the given filename.")
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args = parser.parse_args()
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args = parser.parse_args()
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with open(args.file) as f:
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with open(args.file) as f:
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results = json.load(f)["results"]
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results = json.load(f)["results"]
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commands = [b["command"] for b in 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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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_min = np.min(list(map(np.min, all_times)))
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@@ -29,7 +36,7 @@ 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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histtype = args.type if args.type else "bar"
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plt.hist(
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plt.hist(
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all_times, label=commands, bins=bins, histtype=histtype, range=(t_min, t_max),
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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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)
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plt.legend(prop={"family": ["Source Code Pro", "Fira Mono", "Courier New"]})
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plt.legend(prop={"family": ["Source Code Pro", "Fira Mono", "Courier New"]})
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@@ -37,4 +44,7 @@ plt.xlabel("Time [s]")
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if args.title:
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if args.title:
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plt.title(args.title)
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plt.title(args.title)
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plt.show()
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if args.imgname:
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plt.savefig(args.imgname)
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else:
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plt.show()
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@@ -25,6 +25,7 @@ parser.add_argument(
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parser.add_argument(
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parser.add_argument(
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"--titles", help="Comma-separated list of titles for the plot legend"
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"--titles", help="Comma-separated list of titles for the plot legend"
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)
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)
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parser.add_argument("--imgname", help="Save image to the given filename.")
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args = parser.parse_args()
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args = parser.parse_args()
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if args.parameter_name is not None:
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if args.parameter_name is not None:
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@@ -100,4 +101,7 @@ if args.log_x:
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if args.titles:
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if args.titles:
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plt.legend(args.titles.split(","))
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plt.legend(args.titles.split(","))
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plt.show()
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if args.imgname:
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plt.savefig(args.imgname)
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else:
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plt.show()
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@@ -18,6 +18,7 @@ parser.add_argument("--title", help="Plot Title")
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parser.add_argument(
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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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"--labels", help="Comma-separated list of entries for the plot legend"
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)
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)
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parser.add_argument("--imgname", help="Save image to the given filename.")
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args = parser.parse_args()
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args = parser.parse_args()
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with open(args.file) as f:
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with open(args.file) as f:
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@@ -41,4 +42,7 @@ if args.title:
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plt.legend(handles=boxplot["boxes"], labels=labels, loc="best", fontsize="medium")
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plt.legend(handles=boxplot["boxes"], labels=labels, loc="best", fontsize="medium")
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plt.ylabel("Time [s]")
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plt.ylabel("Time [s]")
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plt.ylim(0, None)
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plt.ylim(0, None)
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plt.show()
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if args.imgname:
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plt.savefig(args.imgname)
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else:
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plt.show()
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