From: Jonathan Rajotte Date: Fri, 26 Jul 2019 18:16:35 +0000 (-0400) Subject: bt benchmark: add delta plot X-Git-Url: http://git.liburcu.org/?a=commitdiff_plain;h=20defd5e328ab5a054111f3657ebc0323a3a2f7f;p=lttng-ci.git bt benchmark: add delta plot The delta plot is less intuitive but can help identify the important commit. Each point is the delta (y2 - y1) between the current point and previous point. Signed-off-by: Jonathan Rajotte --- diff --git a/scripts/babeltrace-benchmark/benchmark.py b/scripts/babeltrace-benchmark/benchmark.py index 518dce7..7ab6029 100644 --- a/scripts/babeltrace-benchmark/benchmark.py +++ b/scripts/babeltrace-benchmark/benchmark.py @@ -193,6 +193,41 @@ def plot_raw_value(branch, benchmark_type, x_data, y_data, labels, latest_values plt.tight_layout() return +def plot_delta_between_point(branch, benchmark_type, x_data, y_data, labels, latest_values): + """ + Plot the graph of delta between each sequential commit. + """ + local_abs_max = 100 + + # Transform y_data to a list of for which the reference is the first + # element. + local_y_data = [] + for pos, y in enumerate(y_data): + if pos == 0: + local_y_data.append(0.0) + continue + local_y_data.append(y - y_data[pos - 1]) + + plt.plot(x_data, local_y_data, "o", label=branch, color=graph_get_color(branch)) + + # Get max absolute value to align the y axis with zero in the middle. + if local_y_data: + local_abs_max = abs(max(local_y_data, key=abs)) * 1.3 + + plt.ylim(ymin=local_abs_max * -1, ymax=local_abs_max) + + ax = plt.gca() + plt.xticks(x_data, labels, rotation=90, family="monospace") + plt.title(graph_get_title(branch, benchmark_type) + " Delta to previous commit", fontweight="bold") + plt.ylabel("Seconds") + plt.xlabel("Latest commits") + plt.legend() + + # Put tick on the right side + ax.tick_params(labeltop=False, labelright=True) + + plt.tight_layout() + return def plot_ratio(branch, benchmark_type, x_data, y_data, labels, latest_values): """ @@ -305,13 +340,17 @@ def generate_graph(branches, report_name, git_path): plot_raw_value(branch, b_type, x_data, y_data, labels, latest_values) pdf_pages.savefig(fig) - fig = plt.figure(figsize=(width, 8.27), dpi=100) # Use the mean of each sanitize dataset here, we do not care for # variance for ratio. At least not yet. y_data = [mean(sanitize_dataset(c[1][b_type])[0]) for c in results] + fig = plt.figure(figsize=(width, 8.27), dpi=100) plot_ratio(branch, b_type, x_data, y_data, labels, latest_values) pdf_pages.savefig(fig) + fig = plt.figure(figsize=(width, 8.27), dpi=100) + plot_delta_between_point(branch, b_type, x_data, y_data, labels, latest_values) + pdf_pages.savefig(fig) + pdf_pages.close()