| import json |
| import matplotlib.pyplot as plt |
| from matplotlib import font_manager |
|
|
| R = json.load(open("espejo_resumen.json")) |
| TINTA, VERDE, ROJO, PAPEL, GRIS = "#1B201D", "#0F5E52", "#B23A2E", "#F5F6F2", "#8A938C" |
|
|
| def barh(ax, ranking, title, umbral=None): |
| items = list(ranking.items()) |
| labels = [k for k, _ in items]; vals = [v for _, v in items] |
| cols = [VERDE if v < 0.15 else (ROJO if v > 0.35 else "#C98A2E") for v in vals] |
| y = range(len(labels)) |
| ax.barh(list(y), vals, color=cols) |
| ax.set_yticks(list(y)); ax.set_yticklabels(labels, fontsize=11) |
| ax.invert_yaxis() |
| for i, v in enumerate(vals): |
| ax.text(v + 0.008, i, f"{v:.2f}", va="center", fontsize=10, color=TINTA) |
| ax.set_xlim(0, max(max(vals) * 1.18, 0.1)) |
| ax.set_title(title, fontsize=13, fontweight="bold", color=TINTA, loc="left", pad=10) |
| ax.set_facecolor(PAPEL) |
| for s in ["top", "right"]: ax.spines[s].set_visible(False) |
| ax.spines["left"].set_color(GRIS); ax.spines["bottom"].set_color(GRIS) |
| ax.tick_params(colors=TINTA) |
|
|
| fig, axes = plt.subplots(1, 2, figsize=(13, 5.2)) |
| fig.patch.set_facecolor(PAPEL) |
| barh(axes[0], R["color_etnia"]["ranking_eje"], "Por color de piel / etnia") |
| barh(axes[1], R["nacionalidad"]["ranking_eje"], "Por nacionalidad") |
| fig.suptitle("La misma frase, clasificada como racista según a quién nombres", |
| fontsize=16, fontweight="bold", color=TINTA, x=0.02, ha="left", y=0.99) |
| fig.text(0.02, 0.915, 'Probabilidad de "racismo" que asigna el detector de la UBA a «Mi nuevo vecino es ___» (y 7 plantillas neutrales más).', |
| fontsize=10.5, color=GRIS, ha="left") |
| fig.text(0.02, -0.02, "DignityAI · Espejo — auditoría de sesgo de IA en español latinoamericano · sin-odio.vercel.app/dignityai", |
| fontsize=9, color=GRIS, ha="left") |
| plt.tight_layout(rect=[0, 0.01, 1, 0.9]) |
| plt.savefig("espejo_color_nacionalidad.png", dpi=170, bbox_inches="tight", facecolor=PAPEL) |
| print("ok") |
|
|
