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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Thu Feb 6 16:40:54 2020 | |
| @author: Pedazo | |
| """ | |
| from sys import argv | |
| import pandas as pd | |
| #file_path = 'd947a29a00292e1938c2e06e47aa47fd-f37020538a4ea7acb3f679b6ca1a1e14e69d4ac9/x505952.MUC1_12345.1-122x.6789.sorted.filtered.idxstats' | |
| input_path, output_path = argv[1:] | |
| df_list = [] | |
| for line in open(input_path): | |
| df_list += [line.strip().split()] | |
| df = pd.DataFrame(df_list) | |
| df.columns = ['reference','length', 'coverage', 'something'] | |
| df.coverage = pd.to_numeric(df.coverage) | |
| max_coverage = df.coverage == df.coverage.max() | |
| beginning = list(df.index[max_coverage].values)[0] | |
| df.iloc[beginning-3:,].to_csv(path_or_buf=output_path, sep='\t', index=False, header=False) | |
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| 12345.1x.6789 600 2 0 | |
| 12345.2x.6789 660 1 0 | |
| 12345.3x.6789 720 4 0 | |
| 12345.4x.6789 780 2 0 | |
| 12345.5x.6789 840 4 0 | |
| 12345.6x.6789 900 6 0 | |
| 12345.7x.6789 960 1 0 | |
| 12345.8x.6789 1020 2 0 | |
| 12345.9x.6789 1080 10 0 | |
| 12345.10x.6789 1140 6 0 | |
| 12345.11x.6789 1200 5 0 | |
| 12345.12x.6789 1260 6 0 | |
| 12345.13x.6789 1320 10 0 | |
| 12345.14x.6789 1380 5 0 | |
| 12345.15x.6789 1440 4 0 | |
| 12345.16x.6789 1500 7 0 | |
| 12345.17x.6789 1560 6 0 | |
| 12345.18x.6789 1620 8 0 | |
| 12345.19x.6789 1680 9 0 | |
| 12345.20x.6789 1740 9 0 | |
| 12345.21x.6789 1800 14 0 | |
| 12345.22x.6789 1860 9 0 | |
| 12345.23x.6789 1920 7 0 | |
| 12345.24x.6789 1980 12 0 | |
| 12345.25x.6789 2040 6 0 | |
| 12345.26x.6789 2100 9 0 | |
| 12345.27x.6789 2160 15 0 | |
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| 12345.29x.6789 2280 8 0 | |
| 12345.30x.6789 2340 4 0 | |
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| 12345.95x.6789 6240 2 0 | |
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| 12345.109x.6789 7080 0 0 | |
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| 12345.121x.6789 7800 0 0 | |
| 12345.122x.6789 7860 0 0 | |
| * 0 0 0 |
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