comparison cmpb2016/ext_repertoire_J.py @ 0:8be019b173e6 draft

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0:8be019b173e6

# -*- coding: utf-8 -*-
"""
Created on Fri Jun 20 14:58:08 2014

@author: chmaramis
"""

from __future__ import division
import numpy as np
from pandas import *
import functools as ft
import sys
import time

frm = lambda x,y: '{r}/{l}'.format(r=x,l=y) 

def repertoireJgComputation(inp_name, fname):
   
    df = DataFrame()
    df = read_csv(inp_name, sep='\t', index_col=0 )
    #tp = read_csv(inp_name, iterator=True, chunksize=5000,sep='\t', index_col=0 )
    #df = concat([chunk for chunk in tp])       
    
    vgroup = df.groupby(['J-GENE'])
    vdi = vgroup.size()
    rep = DataFrame(list(vdi.index), columns=['J-GENE'])
    rep['Reads'] = vdi.values 
    #rep['Reads/Total'] = ['{r}/{l}'.format(r=p , l = len(df)) for p in vdi.values]
    rep['Reads/Total'] = rep['Reads'].map(ft.partial(frm, y=len(df)))
    rep['Frequency %'] = (100*rep['Reads']/len(df)).map('{:.4f}'.format)
    
    rep = rep.sort_values(by = ['Reads'] , ascending = False)
    
    rep.index = range(1,len(rep)+1)
    
    su = rep[['J-GENE','Frequency %']].head(10)
    spl = fname.split('_')
    summdf = DataFrame([su['J-GENE'].values[0],su['Frequency %'].values[0]],
                       index = ['Dominant J-GENE','Frequency'], columns = [spl[0]])
    summdf['%'] = ''
    
    return (rep, summdf)


if __name__ == '__main__':   

    start=time.time()

    # Parse input arguments    
    inp_name = sys.argv[1]
    outrep = sys.argv[2]
    summ_rep2 = sys.argv[3]
    fname = sys.argv[4]
            
    # Execute basic function
    rep, summdf = repertoireJgComputation(inp_name, fname)
    
    # Save output to CSV files
    if not rep.empty: 
        rep.to_csv(outrep, sep = '\t')
    if not summdf.empty:
        summdf.to_csv(summ_rep2, sep = '\t')

        
    # Print execution time
    stop=time.time()
    print('Runtime:' + str(stop-start))