Function plot_throughput_grid_subplot

benchmarks/cpp/benchmark_report.py:255–301

(ax, datatype)

# === Create combined TPS comparison plot ===
def plot_throughput_grid_subplot(ax, datatype):
    if datatype not in data:
        ax.set_title(f"{format_datatype_table_label(datatype)}\nNo Data")
        ax.axis("off")
        return

    available_libs = [
        lib
        for lib in SERIALIZER_ORDER
        if any(
            data[datatype][operation].get(lib, 0) > 0
            for operation in ["serialize", "deserialize"]
        )
    ]
    if not available_libs:
        ax.set_title(f"{format_datatype_table_label(datatype)}\nNo Data")
        ax.axis("off")
        return

    operations = ["serialize", "deserialize"]
    x = GROUP_X
    for idx, lib in enumerate(available_libs):
        times = [data[datatype][operation].get(lib, 0) for operation in operations]
        tps = [1e9 / t if t > 0 else 0 for t in times]
        offset = serializer_offset(idx, len(available_libs))
        ax.bar(
            x + offset,
            tps,
            GROUP_BAR_WIDTH,
            label=SERIALIZER_LABELS.get(lib, lib),
            color=COLORS.get(lib, "#888888"),
            edgecolor=BAR_EDGE_COLOR,
            linewidth=0.8,
        )

    max_tps = max(
        1e9 / data[datatype][operation][lib]
        for operation in operations
        for lib in available_libs
        if data[datatype][operation].get(lib, 0) > 0
    )
    ax.set_ylim(0, max_tps * 1.12)
    ax.set_title(format_datatype_table_label(datatype), pad=8)
    set_grouped_operation_axis(ax)
    style_throughput_axis(ax)
    ax.yaxis.set_major_formatter(FuncFormatter(format_tps_tick))
    add_compact_legend(ax)


fig, axes = plt.subplots(2, 3, figsize=(16.5, 9.0))