Mercurial > repos > recetox > aplcms_to_ramclustr_converter
comparison hdf_converter.py @ 0:062f4c571a24 draft
"planemo upload for repository https://github.com/RECETOX/galaxytools/tools/hdf_converter/ commit 7c15608bc9e6d0cc28daed590341b2b22f9fcedf"
| author | recetox |
|---|---|
| date | Tue, 15 Dec 2020 17:38:07 +0000 |
| parents | |
| children | 52470d439e50 |
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| -1:000000000000 | 0:062f4c571a24 |
|---|---|
| 1 #!/usr/bin/env python | |
| 2 | |
| 3 import optparse | |
| 4 import sys | |
| 5 import warnings | |
| 6 | |
| 7 import pandas as pd | |
| 8 | |
| 9 | |
| 10 warnings.simplefilter('ignore') | |
| 11 | |
| 12 parser = optparse.OptionParser() | |
| 13 parser.add_option("--dataframe", help="Name of hdf dataframe") | |
| 14 parser.add_option("--table", help="Name of a table in the dataframe") | |
| 15 (options, args) = parser.parse_args() | |
| 16 | |
| 17 | |
| 18 def extract_samples(table, num_samples, idx): | |
| 19 intensity_idx = 4 + idx | |
| 20 rt_idx = 4 + num_samples + idx | |
| 21 rt_idx_name = table.columns.tolist()[rt_idx] | |
| 22 table.dropna(subset=[rt_idx_name], inplace=True) | |
| 23 sample_name = table.columns.tolist()[intensity_idx].split('.')[1] | |
| 24 mzrt = table['mz'].map(str) + '_' + table.iloc[:, rt_idx].map(str) | |
| 25 intensity = table.iloc[:, intensity_idx] | |
| 26 mzrt_intensity = {'mz_rt': mzrt, sample_name: intensity} | |
| 27 mzrt_intensity = pd.DataFrame(mzrt_intensity, columns=['mz_rt', sample_name]) | |
| 28 mzrt_intensity.set_index('mz_rt', inplace=True) | |
| 29 return mzrt_intensity | |
| 30 | |
| 31 | |
| 32 def join_samples(table): | |
| 33 num_samples = int((len(table.columns.tolist()) - 4) / 2) # 4 default columns: mz,rt,mz_min,mz_max. The rest is intensity and rt columns for each sample | |
| 34 RamClustr_data = pd.DataFrame(columns=['mz_rt']) | |
| 35 for sample in range(num_samples): | |
| 36 sample_data = extract_samples(table, num_samples, sample) | |
| 37 RamClustr_data = pd.merge(RamClustr_data, sample_data, on='mz_rt', how='outer') | |
| 38 return RamClustr_data | |
| 39 | |
| 40 | |
| 41 def convert_to_RamClustR(RamClustr_data): | |
| 42 RamClustr_data.fillna(0, inplace=True) | |
| 43 RamClustr_data.rename(columns={'mz_rt': 'sample'}, inplace=True) | |
| 44 RamClustr_data.set_index('sample', inplace=True) | |
| 45 RamClustr_data_transposed = RamClustr_data.transpose() | |
| 46 RamClustr_data_transposed.index.rename('sample', inplace=True) | |
| 47 return RamClustr_data_transposed | |
| 48 | |
| 49 | |
| 50 def main(): | |
| 51 try: | |
| 52 aplcms_table = pd.read_hdf(options.dataframe, options.table, errors='None') | |
| 53 except KeyError: | |
| 54 sys.exit("Selected table does not exist in HDF dataframe") | |
| 55 | |
| 56 RamClutsr_data = join_samples(aplcms_table) | |
| 57 RamClustr_data = convert_to_RamClustR(RamClutsr_data) | |
| 58 output = args[0] | |
| 59 RamClustr_data.to_csv(output, sep=';') | |
| 60 print("Table '{}' of HDF dataset is converted to csv for RamClutsR".format(options.table)) | |
| 61 | |
| 62 | |
| 63 if __name__ == "__main__": | |
| 64 main() |
