Download figures/make_missing_zero.py from idacy/trace-artifact: direct link, hf CLI and curl.
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https://huggingface.co/datasets/idacy/trace-artifact/resolve/main/figures/make_missing_zero.py
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hf download hf://datasets/idacy/trace-artifact/figures/make_missing_zero.py
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curl -L -o make_missing_zero.py https://huggingface.co/datasets/idacy/trace-artifact/resolve/main/figures/make_missing_zero.py
2.56 kB
| #!/usr/bin/env python3 | |
| """Supplementary figure: missing, observed zero, and observed value.""" | |
| from __future__ import annotations | |
| import matplotlib.pyplot as plt | |
| from matplotlib.patches import Rectangle | |
| from style import ( | |
| BLUE, | |
| COLUMN_WIDTH_IN, | |
| INK, | |
| LIGHT_GREY, | |
| MID_GREY, | |
| SMALL_TEXT_PT, | |
| HERE, | |
| save_figure, | |
| ) | |
| OUTPUT = HERE / "fig_missing_zero.pdf" | |
| def main() -> None: | |
| fig, ax = plt.subplots(figsize=(COLUMN_WIDTH_IN, 1.55)) | |
| fig.subplots_adjust(left=0.34, right=0.98, bottom=0.08, top=0.96) | |
| ax.set_xlim(0, 5) | |
| ax.set_ylim(-0.55, 2.65) | |
| ax.axis("off") | |
| rows = [ | |
| (2.05, "missing"), | |
| (1.05, "observed zero"), | |
| (0.05, "observed value"), | |
| ] | |
| for y, label in rows: | |
| ax.text(-0.08, y, label, ha="right", va="center", clip_on=False) | |
| ax.add_patch( | |
| Rectangle( | |
| (0.20, y - 0.31), | |
| 4.55, | |
| 0.62, | |
| facecolor="none", | |
| edgecolor=LIGHT_GREY, | |
| lw=0.75, | |
| ls=(0, (3, 2)), | |
| ) | |
| ) | |
| sample_x = [0.62, 1.52, 2.42, 3.32, 4.22] | |
| ax.plot([0.32, 4.63], [1.05, 1.05], color=MID_GREY, lw=0.55) | |
| ax.scatter(sample_x, [1.05] * len(sample_x), s=18, color=BLUE, zorder=3) | |
| ax.plot([0.32, 4.63], [0.05, 0.05], color=MID_GREY, lw=0.55) | |
| observed = [0.22, 0.39, 0.27, 0.50, 0.34] | |
| ax.vlines(sample_x, 0.05, observed, color=BLUE, lw=0.7) | |
| ax.scatter(sample_x, observed, s=18, color=BLUE, zorder=3) | |
| ax.annotate( | |
| "", | |
| xy=(4.63, -0.42), | |
| xytext=(0.32, -0.42), | |
| arrowprops={"arrowstyle": "-|>", "color": MID_GREY, "lw": 0.55}, | |
| ) | |
| ax.text( | |
| 2.48, | |
| -0.42, | |
| "time", | |
| ha="center", | |
| va="center", | |
| color=MID_GREY, | |
| bbox={"facecolor": "white", "edgecolor": "none", "pad": 0.5}, | |
| ) | |
| # A compact key, not a consequence diagram. | |
| ax.plot([0.30, 0.78], [2.52, 2.52], color=LIGHT_GREY, lw=0.75, ls=(0, (3, 2))) | |
| ax.text( | |
| 0.88, | |
| 2.52, | |
| "expected", | |
| ha="left", | |
| va="center", | |
| fontsize=SMALL_TEXT_PT, | |
| color=MID_GREY, | |
| ) | |
| ax.scatter([3.55], [2.52], s=18, color=BLUE) | |
| ax.text( | |
| 3.77, | |
| 2.52, | |
| "delivered", | |
| ha="left", | |
| va="center", | |
| fontsize=SMALL_TEXT_PT, | |
| color=MID_GREY, | |
| ) | |
| save_figure( | |
| fig, | |
| OUTPUT, | |
| subject="Three categorical delivery states for optional telemetry", | |
| ) | |
| if __name__ == "__main__": | |
| main() | |