def histogram_plot(experiment_log_dir, plot_spec_string, output_filename,
                   has_legend, x_limit, verbose):
    queries = [
        plot_utils.plot_spec_string_to_query(plot_spec_string, 0, "HIST")]

    plot_data = metaprogram_utils.process_queries(
        queries, experiment_log_dir, verbose)

    if "plot_points" not in plot_data:
        warnings.warn("No data to plot!")
        return

    histogram_data = plot_data["plot_points"][0]

    cumulative_histogram = {}

    layout = PlotLayout()
    layout.dpi = 250

    for stat_name in histogram_data:
        plot = Plot()
        plot.setTitle(stat_name)
        if has_legend:
            plot.hasLegend(labelSize=8)

        if x_limit is not None:
            plot.setXLimits(0, x_limit)

        style_plot(plot, stat_name)

        for key, points in sorted(histogram_data[stat_name].items()):
            for size, count in itertools.izip(points["bin"], points["count"]):
                if size not in cumulative_histogram:
                    cumulative_histogram[size] = 0
                cumulative_histogram[size] += count

            line = Line()
            line.stepFunction("pre")
            line.label = str(key)
            line.xValues = points["bin"]
            line.yValues = points["count"]
            plot.add(line)

        layout.addPlot(plot)

        cumulative_plot = Plot()

        if x_limit is not None:
            cumulative_plot.setXLimits(0, x_limit)

        cumulative_plot.setTitle("Cumulative Histogram for " + stat_name)
        style_plot(cumulative_plot, stat_name)
        line = Line()
        line.stepFunction("pre")
        line.xValues = sorted(cumulative_histogram.keys())
        line.yValues = [cumulative_histogram[key] for key in line.xValues]

        cumulative_plot.add(line)
        layout.addPlot(cumulative_plot)
    layout.save(output_filename)
Exemple #2
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def save_time_series_plots(plots, output_directory):
    if os.path.exists(output_directory):
        for filename in os.listdir(output_directory):
            if filename[-3:] == "png":
                os.unlink(os.path.join(output_directory, filename))
        os.rmdir(output_directory)

    os.makedirs(output_directory)

    for group in sorted(plots.keys()):
        layout = PlotLayout()
        layout.dpi = 250

        output_filename = os.path.join(output_directory,
                                       "_".join(map(str, group)) + ".png")

        for subplot in plots[group]:
            layout.addPlot(subplot, grouping=group)

        layout.save(output_filename)
def save_time_series_plots(plots, output_directory):
    if os.path.exists(output_directory):
        for filename in os.listdir(output_directory):
            if filename[-3:] == "png":
                os.unlink(os.path.join(output_directory, filename))
        os.rmdir(output_directory)

    os.makedirs(output_directory)

    for group in sorted(plots.keys()):
        layout = PlotLayout()
        layout.dpi = 250

        output_filename = os.path.join(
            output_directory, "_".join(map(str, group)) + ".png")

        for subplot in plots[group]:
            layout.addPlot(subplot, grouping=group)

        layout.save(output_filename)
Exemple #4
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def histogram_plot(experiment_log_dir, plot_spec_string, output_filename,
                   has_legend, x_limit, verbose):
    queries = [
        plot_utils.plot_spec_string_to_query(plot_spec_string, 0, "HIST")
    ]

    plot_data = metaprogram_utils.process_queries(queries, experiment_log_dir,
                                                  verbose)

    if "plot_points" not in plot_data:
        warnings.warn("No data to plot!")
        return

    histogram_data = plot_data["plot_points"][0]

    cumulative_histogram = {}

    layout = PlotLayout()
    layout.dpi = 250

    for stat_name in histogram_data:
        plot = Plot()
        plot.setTitle(stat_name)
        if has_legend:
            plot.hasLegend(labelSize=8)

        if x_limit is not None:
            plot.setXLimits(0, x_limit)

        style_plot(plot, stat_name)

        for key, points in sorted(histogram_data[stat_name].items()):
            for size, count in itertools.izip(points["bin"], points["count"]):
                if size not in cumulative_histogram:
                    cumulative_histogram[size] = 0
                cumulative_histogram[size] += count

            line = Line()
            line.stepFunction("pre")
            line.label = str(key)
            line.xValues = points["bin"]
            line.yValues = points["count"]
            plot.add(line)

        layout.addPlot(plot)

        cumulative_plot = Plot()

        if x_limit is not None:
            cumulative_plot.setXLimits(0, x_limit)

        cumulative_plot.setTitle("Cumulative Histogram for " + stat_name)
        style_plot(cumulative_plot, stat_name)
        line = Line()
        line.stepFunction("pre")
        line.xValues = sorted(cumulative_histogram.keys())
        line.yValues = [cumulative_histogram[key] for key in line.xValues]

        cumulative_plot.add(line)
        layout.addPlot(cumulative_plot)
    layout.save(output_filename)