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merge_kraken_res.py
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executable file
·70 lines (54 loc) · 1.9 KB
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#!/usr/bin/env python
# Written by Maxime Borry and released under the MIT license.
# See git repository (https://github.com/nf-core/eager) for full license text.
import argparse
import os
import pandas as pd
import numpy as np
def _get_args():
'''This function parses and return arguments passed in'''
parser = argparse.ArgumentParser(
prog='merge_kraken_res',
formatter_class=argparse.RawDescriptionHelpFormatter,
description='Merging csv count files in one table')
parser.add_argument(
'-or',
dest="readout",
default="kraken_read_count_table.csv",
help="Read count output file. Default = kraken_read_count_table.csv")
parser.add_argument(
'-ok',
dest="kmerout",
default="kraken_kmer_unicity_table.csv",
help="Kmer unicity output file. Default = kraken_kmer_unicity_table.csv")
args = parser.parse_args()
readout = args.readout
kmerout = args.kmerout
return(readout, kmerout)
def get_csv():
tmp = [i for i in os.listdir() if ".csv" in i]
kmer = [i for i in tmp if '.kmer_' in i]
read = [i for i in tmp if '.read_' in i]
return(read, kmer)
def _get_basename(file_name):
if ("/") in file_name:
basename = file_name.split("/")[-1].split(".")[0]
else:
basename = file_name.split(".")[0]
return(basename)
def merge_csv(all_csv):
df = pd.read_csv(all_csv[0], index_col=0)
for i in range(1, len(all_csv)):
df_tmp = pd.read_csv(all_csv[i], index_col=0)
df = pd.merge(left=df, right=df_tmp, on='TAXID', how='outer')
df.fillna(0, inplace=True)
return(df)
def write_csv(pd_dataframe, outfile):
pd_dataframe.to_csv(outfile)
if __name__ == "__main__":
READOUT, KMEROUT = _get_args()
reads, kmers = get_csv()
read_df = merge_csv(reads)
kmer_df = merge_csv(kmers)
write_csv(read_df, READOUT)
write_csv(kmer_df, KMEROUT)