| Index: webrtc/tools/event_log_visualizer/plot_python.cc
|
| diff --git a/webrtc/tools/event_log_visualizer/plot_python.cc b/webrtc/tools/event_log_visualizer/plot_python.cc
|
| new file mode 100644
|
| index 0000000000000000000000000000000000000000..916bc2e6a61451359e1e3cff6b746ac6d98d7b53
|
| --- /dev/null
|
| +++ b/webrtc/tools/event_log_visualizer/plot_python.cc
|
| @@ -0,0 +1,98 @@
|
| +/*
|
| + * Copyright (c) 2016 The WebRTC project authors. All Rights Reserved.
|
| + *
|
| + * Use of this source code is governed by a BSD-style license
|
| + * that can be found in the LICENSE file in the root of the source
|
| + * tree. An additional intellectual property rights grant can be found
|
| + * in the file PATENTS. All contributing project authors may
|
| + * be found in the AUTHORS file in the root of the source tree.
|
| + */
|
| +
|
| +#include "webrtc/tools/event_log_visualizer/plot_python.h"
|
| +
|
| +#include <stdio.h>
|
| +
|
| +namespace webrtc {
|
| +namespace plotting {
|
| +
|
| +PythonPlot::PythonPlot() {}
|
| +
|
| +PythonPlot::~PythonPlot() {}
|
| +
|
| +void PythonPlot::draw() {
|
| + // Write python commands to stdout. Intended program usage is
|
| + // ./event_log_visualizer event_log160330.dump | python
|
| +
|
| + if (!series.empty()) {
|
| + printf("color_count = %zu\n", series.size());
|
| + printf(
|
| + "hls_colors = [(i*1.0/color_count, 0.25+i*0.5/color_count, 0.8) for i "
|
| + "in range(color_count)]\n");
|
| + printf("rgb_colors = [colorsys.hls_to_rgb(*hls) for hls in hls_colors]\n");
|
| +
|
| + for (size_t i = 0; i < series.size(); i++) {
|
| + // List x coordinates
|
| + printf("x%zu = [", i);
|
| + if (series[i].points.size() > 0)
|
| + printf("%G", series[i].points[0].x);
|
| + for (size_t j = 1; j < series[i].points.size(); j++)
|
| + printf(", %G", series[i].points[j].x);
|
| + printf("]\n");
|
| +
|
| + // List y coordinates
|
| + printf("y%zu = [", i);
|
| + if (series[i].points.size() > 0)
|
| + printf("%G", series[i].points[0].y);
|
| + for (size_t j = 1; j < series[i].points.size(); j++)
|
| + printf(", %G", series[i].points[j].y);
|
| + printf("]\n");
|
| +
|
| + if (series[i].style == BAR_GRAPH) {
|
| + // There is a plt.bar function that draws bar plots,
|
| + // but it is *way* too slow to be useful.
|
| + printf(
|
| + "plt.vlines(x%zu, map(lambda t: min(t,0), y%zu), map(lambda t: "
|
| + "max(t,0), y%zu), color=rgb_colors[%zu], "
|
| + "label=\'%s\')\n",
|
| + i, i, i, i, series[i].label.c_str());
|
| + } else if (series[i].style == LINE_GRAPH) {
|
| + printf("plt.plot(x%zu, y%zu, color=rgb_colors[%zu], label=\'%s\')\n", i,
|
| + i, i, series[i].label.c_str());
|
| + } else {
|
| + printf("raise Exception(\"Unknown graph type\")\n");
|
| + }
|
| + }
|
| + }
|
| +
|
| + printf("plt.xlim(%f, %f)\n", xaxis_min, xaxis_max);
|
| + printf("plt.ylim(%f, %f)\n", yaxis_min, yaxis_max);
|
| + printf("plt.xlabel(\'%s\')\n", xaxis_label.c_str());
|
| + printf("plt.ylabel(\'%s\')\n", yaxis_label.c_str());
|
| + printf("plt.title(\'%s\')\n", title.c_str());
|
| + if (!series.empty()) {
|
| + printf("plt.legend(loc=\'best\', fontsize=\'small\')\n");
|
| + }
|
| +}
|
| +
|
| +PythonPlotCollection::PythonPlotCollection() {}
|
| +
|
| +PythonPlotCollection::~PythonPlotCollection() {}
|
| +
|
| +void PythonPlotCollection::draw() {
|
| + printf("import matplotlib.pyplot as plt\n");
|
| + printf("import colorsys\n");
|
| + for (size_t i = 0; i < plots.size(); i++) {
|
| + printf("plt.figure(%zu)\n", i);
|
| + plots[i]->draw();
|
| + }
|
| + printf("plt.show()\n");
|
| +}
|
| +
|
| +Plot* PythonPlotCollection::append_new_plot() {
|
| + Plot* plot = new PythonPlot();
|
| + plots.push_back(std::unique_ptr<Plot>(plot));
|
| + return plot;
|
| +}
|
| +
|
| +} // namespace plotting
|
| +} // namespace webrtc
|
|
|