| /* |
| * 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 "rtc_tools/rtc_event_log_visualizer/plot_base.h" |
| |
| #include <algorithm> |
| #include <memory> |
| |
| #include "rtc_base/checks.h" |
| |
| namespace webrtc { |
| |
| void Plot::SetXAxis(float min_value, |
| float max_value, |
| std::string label, |
| float left_margin, |
| float right_margin) { |
| RTC_DCHECK_LE(min_value, max_value); |
| xaxis_min_ = min_value - left_margin * (max_value - min_value); |
| xaxis_max_ = max_value + right_margin * (max_value - min_value); |
| xaxis_label_ = label; |
| } |
| |
| void Plot::SetSuggestedXAxis(float min_value, |
| float max_value, |
| std::string label, |
| float left_margin, |
| float right_margin) { |
| for (const auto& series : series_list_) { |
| for (const auto& point : series.points) { |
| min_value = std::min(min_value, point.x); |
| max_value = std::max(max_value, point.x); |
| } |
| } |
| SetXAxis(min_value, max_value, label, left_margin, right_margin); |
| } |
| |
| void Plot::SetYAxis(float min_value, |
| float max_value, |
| std::string label, |
| float bottom_margin, |
| float top_margin) { |
| RTC_DCHECK_LE(min_value, max_value); |
| yaxis_min_ = min_value - bottom_margin * (max_value - min_value); |
| yaxis_max_ = max_value + top_margin * (max_value - min_value); |
| yaxis_label_ = label; |
| } |
| |
| void Plot::SetSuggestedYAxis(float min_value, |
| float max_value, |
| std::string label, |
| float bottom_margin, |
| float top_margin) { |
| for (const auto& series : series_list_) { |
| for (const auto& point : series.points) { |
| min_value = std::min(min_value, point.y); |
| max_value = std::max(max_value, point.y); |
| } |
| } |
| SetYAxis(min_value, max_value, label, bottom_margin, top_margin); |
| } |
| |
| void Plot::SetYAxisTickLabels( |
| const std::vector<std::pair<float, std::string>>& labels) { |
| yaxis_tick_labels_ = labels; |
| } |
| |
| void Plot::SetTitle(const std::string& title) { |
| title_ = title; |
| } |
| |
| void Plot::SetId(const std::string& id) { |
| id_ = id; |
| } |
| |
| void Plot::AppendTimeSeries(TimeSeries&& time_series) { |
| series_list_.emplace_back(std::move(time_series)); |
| } |
| |
| void Plot::AppendIntervalSeries(IntervalSeries&& interval_series) { |
| interval_list_.emplace_back(std::move(interval_series)); |
| } |
| |
| void Plot::AppendTimeSeriesIfNotEmpty(TimeSeries&& time_series) { |
| if (!time_series.points.empty()) { |
| series_list_.emplace_back(std::move(time_series)); |
| } |
| } |
| |
| void Plot::PrintPythonCode() const { |
| // Write python commands to stdout. Intended program usage is |
| // ./event_log_visualizer event_log160330.dump | python |
| |
| if (!series_list_.empty()) { |
| printf("color_count = %zu\n", series_list_.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("colors = [colorsys.hls_to_rgb(*hls) for hls in hls_colors]\n"); |
| |
| for (size_t i = 0; i < series_list_.size(); i++) { |
| printf("\n# === Series: %s ===\n", series_list_[i].label.c_str()); |
| // List x coordinates |
| printf("x%zu = [", i); |
| if (!series_list_[i].points.empty()) |
| printf("%.3f", series_list_[i].points[0].x); |
| for (size_t j = 1; j < series_list_[i].points.size(); j++) |
| printf(", %.3f", series_list_[i].points[j].x); |
| printf("]\n"); |
| |
| // List y coordinates |
| printf("y%zu = [", i); |
| if (!series_list_[i].points.empty()) |
| printf("%G", series_list_[i].points[0].y); |
| for (size_t j = 1; j < series_list_[i].points.size(); j++) |
| printf(", %G", series_list_[i].points[j].y); |
| printf("]\n"); |
| |
| if (series_list_[i].line_style == LineStyle::kBar) { |
| // There is a plt.bar function that draws bar plots, |
| // but it is *way* too slow to be useful. |
| printf( |
| "plt.vlines(x%zu, [min(t,0) for t in y%zu], [max(t,0) for t in " |
| "y%zu], color=colors[%zu], label=\'%s\')\n", |
| i, i, i, i, series_list_[i].label.c_str()); |
| if (series_list_[i].point_style == PointStyle::kHighlight) { |
| printf( |
| "plt.plot(x%zu, y%zu, color=colors[%zu], " |
| "marker='.', ls=' ')\n", |
| i, i, i); |
| } |
| } else if (series_list_[i].line_style == LineStyle::kLine) { |
| if (series_list_[i].point_style == PointStyle::kHighlight) { |
| printf( |
| "plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\', " |
| "marker='.')\n", |
| i, i, i, series_list_[i].label.c_str()); |
| } else { |
| printf("plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\')\n", i, |
| i, i, series_list_[i].label.c_str()); |
| } |
| } else if (series_list_[i].line_style == LineStyle::kStep) { |
| // Draw lines from (x[0],y[0]) to (x[1],y[0]) to (x[1],y[1]) and so on |
| // to illustrate the "steps". This can be expressed by duplicating all |
| // elements except the first in x and the last in y. |
| printf("xd%zu = [dup for v in x%zu for dup in [v, v]]\n", i, i); |
| printf("yd%zu = [dup for v in y%zu for dup in [v, v]]\n", i, i); |
| printf( |
| "plt.plot(xd%zu[1:], yd%zu[:-1], color=colors[%zu], " |
| "label=\'%s\')\n", |
| i, i, i, series_list_[i].label.c_str()); |
| if (series_list_[i].point_style == PointStyle::kHighlight) { |
| printf( |
| "plt.plot(x%zu, y%zu, color=colors[%zu], " |
| "marker='.', ls=' ')\n", |
| i, i, i); |
| } |
| } else if (series_list_[i].line_style == LineStyle::kNone) { |
| printf( |
| "plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\', " |
| "marker='o', ls=' ')\n", |
| i, i, i, series_list_[i].label.c_str()); |
| } else { |
| printf("raise Exception(\"Unknown graph type\")\n"); |
| } |
| } |
| |
| // IntervalSeries |
| printf("interval_colors = ['#ff8e82','#5092fc','#c4ffc4','#aaaaaa']\n"); |
| RTC_CHECK_LE(interval_list_.size(), 4); |
| // To get the intervals to show up in the legend we have to create patches |
| // for them. |
| printf("legend_patches = []\n"); |
| for (size_t i = 0; i < interval_list_.size(); i++) { |
| // List intervals |
| printf("\n# === IntervalSeries: %s ===\n", |
| interval_list_[i].label.c_str()); |
| printf("ival%zu = [", i); |
| if (!interval_list_[i].intervals.empty()) { |
| printf("(%G, %G)", interval_list_[i].intervals[0].begin, |
| interval_list_[i].intervals[0].end); |
| } |
| for (size_t j = 1; j < interval_list_[i].intervals.size(); j++) { |
| printf(", (%G, %G)", interval_list_[i].intervals[j].begin, |
| interval_list_[i].intervals[j].end); |
| } |
| printf("]\n"); |
| |
| printf("for i in range(0, %zu):\n", interval_list_[i].intervals.size()); |
| if (interval_list_[i].orientation == IntervalSeries::kVertical) { |
| printf( |
| " plt.axhspan(ival%zu[i][0], ival%zu[i][1], " |
| "facecolor=interval_colors[%zu], " |
| "alpha=0.3)\n", |
| i, i, i); |
| } else { |
| printf( |
| " plt.axvspan(ival%zu[i][0], ival%zu[i][1], " |
| "facecolor=interval_colors[%zu], " |
| "alpha=0.3)\n", |
| i, i, i); |
| } |
| printf( |
| "legend_patches.append(mpatches.Patch(ec=\'black\', " |
| "fc=interval_colors[%zu], label='%s'))\n", |
| i, interval_list_[i].label.c_str()); |
| } |
| } |
| |
| 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()); |
| printf("fig = plt.gcf()\n"); |
| printf("fig.canvas.set_window_title(\'%s\')\n", id_.c_str()); |
| if (!yaxis_tick_labels_.empty()) { |
| printf("yaxis_tick_labels = ["); |
| for (const auto& kv : yaxis_tick_labels_) { |
| printf("(%f,\"%s\"),", kv.first, kv.second.c_str()); |
| } |
| printf("]\n"); |
| printf("yaxis_tick_labels = list(zip(*yaxis_tick_labels))\n"); |
| printf("plt.yticks(*yaxis_tick_labels)\n"); |
| } |
| if (!series_list_.empty() || !interval_list_.empty()) { |
| printf("handles, labels = plt.gca().get_legend_handles_labels()\n"); |
| printf("for lp in legend_patches:\n"); |
| printf(" handles.append(lp)\n"); |
| printf(" labels.append(lp.get_label())\n"); |
| printf("plt.legend(handles, labels, loc=\'best\', fontsize=\'small\')\n"); |
| } |
| } |
| |
| void Plot::ExportProtobuf(webrtc::analytics::Chart* chart) const { |
| for (size_t i = 0; i < series_list_.size(); i++) { |
| webrtc::analytics::DataSet* data_set = chart->add_data_sets(); |
| for (const auto& point : series_list_[i].points) { |
| data_set->add_x_values(point.x); |
| } |
| for (const auto& point : series_list_[i].points) { |
| data_set->add_y_values(point.y); |
| } |
| |
| if (series_list_[i].line_style == LineStyle::kBar) { |
| data_set->set_style(webrtc::analytics::ChartStyle::BAR_CHART); |
| } else if (series_list_[i].line_style == LineStyle::kLine) { |
| data_set->set_style(webrtc::analytics::ChartStyle::LINE_CHART); |
| } else if (series_list_[i].line_style == LineStyle::kStep) { |
| data_set->set_style(webrtc::analytics::ChartStyle::LINE_STEP_CHART); |
| } else if (series_list_[i].line_style == LineStyle::kNone) { |
| data_set->set_style(webrtc::analytics::ChartStyle::SCATTER_CHART); |
| } else { |
| data_set->set_style(webrtc::analytics::ChartStyle::UNDEFINED); |
| } |
| |
| if (series_list_[i].point_style == PointStyle::kHighlight) |
| data_set->set_highlight_points(true); |
| |
| data_set->set_label(series_list_[i].label); |
| } |
| |
| chart->set_xaxis_min(xaxis_min_); |
| chart->set_xaxis_max(xaxis_max_); |
| chart->set_yaxis_min(yaxis_min_); |
| chart->set_yaxis_max(yaxis_max_); |
| chart->set_xaxis_label(xaxis_label_); |
| chart->set_yaxis_label(yaxis_label_); |
| chart->set_title(title_); |
| chart->set_id(id_); |
| |
| for (const auto& kv : yaxis_tick_labels_) { |
| webrtc::analytics::TickLabel* tick = chart->add_yaxis_tick_labels(); |
| tick->set_value(kv.first); |
| tick->set_label(kv.second); |
| } |
| } |
| |
| void PlotCollection::PrintPythonCode(bool shared_xaxis) const { |
| printf("import matplotlib.pyplot as plt\n"); |
| printf("plt.rcParams.update({'figure.max_open_warning': 0})\n"); |
| printf("import matplotlib.patches as mpatches\n"); |
| printf("import matplotlib.patheffects as pe\n"); |
| printf("import colorsys\n"); |
| for (size_t i = 0; i < plots_.size(); i++) { |
| printf("plt.figure(%zu)\n", i); |
| if (shared_xaxis) { |
| // Link x-axes across all figures for synchronized zooming. |
| if (i == 0) { |
| printf("axis0 = plt.subplot(111)\n"); |
| } else { |
| printf("plt.subplot(111, sharex=axis0)\n"); |
| } |
| } |
| plots_[i]->PrintPythonCode(); |
| } |
| printf("plt.show()\n"); |
| } |
| |
| void PlotCollection::ExportProtobuf( |
| webrtc::analytics::ChartCollection* collection) const { |
| for (const auto& plot : plots_) { |
| // TODO(terelius): Ensure that there is no way to insert plots other than |
| // ProtobufPlots in a ProtobufPlotCollection. Needed to safely static_cast |
| // here. |
| webrtc::analytics::Chart* protobuf_representation = |
| collection->add_charts(); |
| plot->ExportProtobuf(protobuf_representation); |
| } |
| } |
| |
| Plot* PlotCollection::AppendNewPlot() { |
| plots_.push_back(std::make_unique<Plot>()); |
| return plots_.back().get(); |
| } |
| |
| } // namespace webrtc |