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https://github.com/uutils/coreutils-tracking.git
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Sylvestre Ledru
109 lines
2.7 KiB
Python
109 lines
2.7 KiB
Python
# This file is part of the uutils coreutils package.
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#
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# For the full copyright and license information, please view the LICENSE
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# file that was distributed with this source code.
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import sys
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import matplotlib.pyplot as plt
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import pandas as pd
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import seaborn as sns
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from graph_common import (
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COLORS,
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setup_theme,
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apply_smoothing,
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style_axes,
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add_title,
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style_legend,
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)
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d = pd.read_json(sys.argv[1], orient="index")
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df = pd.DataFrame(d)
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df.columns.names = ["date"]
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df.index = pd.to_datetime(df.index, utc=True, format="mixed")
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print(df)
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# Set up modern theme
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setup_theme()
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# Create figure with better proportions and higher DPI
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fig, ax = plt.subplots(figsize=(18, 9), dpi=100)
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# Prepare data for Seaborn - melt to long format
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df_plot = df[["size", "multisize"]].copy()
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df_plot = df_plot.reset_index()
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df_plot.columns = ["date", "size", "multisize"]
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df_plot_long = df_plot.melt(
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id_vars="date", var_name="binary_type", value_name="size_kb"
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)
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# Convert to numeric
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df_plot_long["size_kb"] = pd.to_numeric(df_plot_long["size_kb"], errors="coerce")
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# Apply smoothing using rolling average
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df_plot_long["size_kb_smooth"] = apply_smoothing(df_plot_long, "binary_type", "size_kb")
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# Use color palette from common module
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palette = {"size": COLORS["size"], "multisize": COLORS["multisize"]}
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# Add gradient-like area fills first
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for col, color in palette.items():
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if col in df_plot.columns:
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ax.fill_between(
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df_plot["date"],
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0,
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df_plot[col],
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alpha=0.2,
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color=color,
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zorder=1,
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linewidth=0,
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)
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# Use Seaborn's lineplot with enhanced styling and smoothed data
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sns.lineplot(
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data=df_plot_long,
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x="date",
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y="size_kb_smooth",
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hue="binary_type",
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palette=palette,
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linewidth=4,
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ax=ax,
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markers=False, # Disable markers for smoother look
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dashes=False,
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alpha=1,
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zorder=3,
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)
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# Add title and subtitle
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add_title(
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ax,
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"uutils coreutils — Binary Size Evolution",
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"Tracking binary size optimization and comparing build strategies",
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)
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# Style axes with labels and grid
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style_axes(ax, xlabel="Date", ylabel="Size (kilobytes)")
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# Style legend
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handles, labels = ax.get_legend_handles_labels()
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label_map = {"size": "Multiple Binaries", "multisize": "Multicall Binary (Optimized)"}
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labels = [label_map.get(label, label) for label in labels]
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style_legend(ax, handles, labels, ncol=1, loc="upper left")
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# Tight layout
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plt.tight_layout()
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# Save with high quality
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plt.savefig(
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"size-results.svg",
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format="svg",
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dpi=300,
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bbox_inches="tight",
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facecolor="white",
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edgecolor="none",
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metadata={"Creator": "uutils coreutils tracking", "Title": "Binary Size Evolution"},
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)
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