| /* |
| * 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 |