Mercurial > repos > recetox > matchms_similarity
comparison formatter.py @ 1:872d8040f713 draft default tip
planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/matchms commit b1cc1aebf796f170d93e3dd46ffcdefdc7b8018a
| author | recetox |
|---|---|
| date | Thu, 12 Oct 2023 13:25:30 +0000 |
| parents | e5010b19d64d |
| children |
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| 0:e5010b19d64d | 1:872d8040f713 |
|---|---|
| 11 | 11 |
| 12 Returns: | 12 Returns: |
| 13 DataFrame: Scores | 13 DataFrame: Scores |
| 14 DataFrame: Matches | 14 DataFrame: Matches |
| 15 """ | 15 """ |
| 16 dataframe = DataFrame(columns=['query', 'reference', *scores.scores.score_names]) | 16 data = [] |
| 17 | 17 |
| 18 for i, (row, col) in enumerate(zip(scores.scores.row, scores.scores.col)): | 18 for i, (row, col) in enumerate(zip(scores.scores.row, scores.scores.col)): |
| 19 dataframe.loc[i] = [scores.queries[col].metadata['compound_name'], scores.references[row].metadata['compound_name'], *scores.scores.data[i]] | 19 data.append([scores.queries[col].metadata['compound_name'], scores.references[row].metadata['compound_name'], *scores.scores.data[i]]) |
| 20 | |
| 21 dataframe = DataFrame(data, columns=['query', 'reference', *scores.scores.score_names]) | |
| 20 | 22 |
| 21 return dataframe | 23 return dataframe |
| 22 | 24 |
| 23 | 25 |
| 24 def load_data(scores_filename: str) -> DataFrame: | 26 def load_data(scores_filename: str) -> DataFrame: |