forked from moreo/QuaPy
50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
import pandas as pd
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from os.path import join
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import os
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from glob import glob
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from pathlib import Path
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from Ordinal.main import quantifiers
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from Ordinal.tabular import Table
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domain = 'Books-tfidf'
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prot = 'app'
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outpath = f'./tables/{domain}/{prot}/results.tex'
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resultpath = join('./results', domain, prot)
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methods = [qname for qname, *_ in quantifiers()]
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# methods += [m+'-r' for m in methods]
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table = Table(benchmarks=['low', 'mid', 'high', 'all'], methods=methods, prec_mean=4, show_std=True, prec_std=4)
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for resultfile in glob(f'{resultpath}/*.csv'):
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df = pd.read_csv(resultfile)
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nmd = df['nmd'].values
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resultname = Path(resultfile).name
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method, drift, *other = resultname.replace('.csv', '').split('.')
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if other:
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continue
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method += '-r'
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table.add(drift, method, nmd)
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os.makedirs(Path(outpath).parent, exist_ok=True)
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tabular = """
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\\resizebox{\\textwidth}{!}{%
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\\begin{tabular}{|c||""" + ('c|' * (table.nbenchmarks)) + """} \hline
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"""
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tabular += table.latexTabularT(average=False)
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tabular += """
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\end{tabular}%
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}"""
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with open(outpath, 'wt') as foo:
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foo.write(tabular)
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foo.write('\n')
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print('[done]')
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