File size: 1,993 Bytes
3404d44 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | """Reorder exp2a similarity CSVs and heatmaps to: left, right, above, under, far, close."""
import os
import glob
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
DESIRED_ORDER = ["left", "right", "above", "under", "far", "close"]
RESULTS_DIR = "/data/shared/Qwen/experiments/exp2a_results"
def reorder_and_save_csv(csv_path):
"""Read a similarity CSV, reorder rows/cols, overwrite."""
df = pd.read_csv(csv_path, index_col=0)
# Filter to only categories that exist in this CSV
order = [c for c in DESIRED_ORDER if c in df.columns]
df = df.loc[order, order]
df.to_csv(csv_path)
print(f" Reordered CSV: {csv_path}")
return df
def draw_heatmap(df, png_path, title):
"""Draw and save a heatmap from a similarity DataFrame."""
fig, ax = plt.subplots(figsize=(8, 6))
sns.heatmap(
df.astype(float),
annot=True,
fmt=".4f",
cmap="RdYlBu_r",
vmin=0.5,
vmax=1.0,
square=True,
linewidths=0.5,
ax=ax,
)
ax.set_title(title, fontsize=14)
plt.tight_layout()
plt.savefig(png_path, dpi=150, bbox_inches="tight")
plt.close()
print(f" Saved heatmap: {png_path}")
def main():
model_dirs = sorted(glob.glob(os.path.join(RESULTS_DIR, "*")))
for model_dir in model_dirs:
if not os.path.isdir(model_dir):
continue
model_name = os.path.basename(model_dir)
print(f"\n=== {model_name} ===")
csv_files = sorted(glob.glob(os.path.join(model_dir, "similarity_*.csv")))
for csv_path in csv_files:
scale = os.path.basename(csv_path).replace("similarity_", "").replace(".csv", "")
df = reorder_and_save_csv(csv_path)
png_path = os.path.join(model_dir, f"heatmap_{scale}.png")
title = f"{model_name} - {scale} (Cosine Similarity)"
draw_heatmap(df, png_path, title)
print("\nDone.")
if __name__ == "__main__":
main()
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