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( |
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echo "scene,repr,counts" |
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ls $1 | while read line; do |
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scene_name=$(echo $line | cut -d "_" -f1); |
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ls $1/$line | while read line2; do |
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n_files=$(find $1/$line/"$line2" -name "*.npz" | wc -l); |
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echo "$scene_name","$line2","$n_files"; |
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done; |
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done ) | python -c ''' |
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import sys, pandas as pd; |
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df = pd.read_csv(sys.stdin); |
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df2 = df.groupby("scene").apply(lambda x: dict(zip(x["repr"], x["counts"])), include_groups=False).reset_index(); |
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df3 = pd.json_normalize(df2[0]).set_index(df2["scene"]).fillna(0).astype(int); |
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df4 = df3.reindex(columns=["rgb", *sorted(x for x in df3.columns if x != "rgb")]) |
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df4.columns = [f"{x[0:18]}.." if len(x) > 20 else x for x in df4.columns] |
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print(df4.to_markdown()) |
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''' |
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