forked from moreo/QuaPy
42 lines
860 B
Python
42 lines
860 B
Python
import sys
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from pathlib import Path
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import pandas as pd
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result_dir = 'results/results_tweet_mae_redohyper'
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#result_dir = 'results_lequa_mrae'
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dfs = []
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pathlist = Path(result_dir).rglob('*.csv')
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for path in pathlist:
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path_in_str = str(path)
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try:
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df = pd.read_csv(path_in_str, sep='\t')
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df = df[df.iloc[:, 0] != df.columns[0]]
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if not df.empty:
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dfs.append(df)
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except Exception:
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print('empty')
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df = pd.concat(dfs)
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for err in ['MAE', 'MRAE', 'KLD']:
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print('-'*100)
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print(err)
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print('-'*100)
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piv = df.pivot_table(index='Dataset', columns='Method', values=err)
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piv.loc['mean'] = piv.mean()
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pd.set_option('display.max_columns', None)
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pd.set_option('display.max_rows', None)
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pd.set_option('expand_frame_repr', False)
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print(piv)
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print()
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