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https://github.com/uutils/coreutils-tracking.git
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Sylvestre Ledru
91 lines
2.6 KiB
Python
91 lines
2.6 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 (COLORS, setup_theme, apply_smoothing, style_axes,
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add_title, style_legend)
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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(id_vars='date', var_name='binary_type', value_name='size_kb')
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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 = {
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'size': COLORS['size'],
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'multisize': COLORS['multisize']
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}
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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(df_plot['date'], 0, df_plot[col],
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alpha=0.2, color=color, zorder=1, linewidth=0)
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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(ax, 'uutils coreutils — Binary Size Evolution',
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'Tracking binary size optimization and comparing build strategies')
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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 = {
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'size': 'Multiple Binaries',
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'multisize': 'Multicall Binary (Optimized)'
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}
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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("size-results.svg", format="svg", dpi=300,
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bbox_inches="tight", facecolor='white', edgecolor='none',
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metadata={'Creator': 'uutils coreutils tracking', 'Title': 'Binary Size Evolution'})
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