Code instances in Python with defaultdict for each column of the file

This article mainly describes Python using defaultdict to read the file columns of the method, involving Python for file-related reading, traversal operation skills, the need for friends can refer to the following

This example describes how Python uses defaultdict to read each column of a file. Share to everyone for your reference, as follows:

#!/usr/bin/python "" "Usage:python *.py align_snp_site out_file" "Import Sys#import timefrom Collections Import Counter# T0=time.clock () Info=open (sys.argv[1]) Fast=sys.argv[2]d_c = {}d1={}d2={}for line in Info:cols=line.strip (). Split ("\ t ") if cols[0] = =" SNP pattern ": Continue Else:d1.setdefault (cols[4],[]). Append (Cols[1]) d2.set Default (cols[7],[]). Append (Cols[1]) #d1. SetDefault (cols[0],[]). Append (cols[5]) #d2 [cols[0]] = "\ T". Join (Cols[0:3])  Info.close () Print len (D1) Print Len (d2) My_list=[]ref_fa = open ("Some_example.fasta", ' R ') for I in Ref_fa.readlines (): If I.startswith (">"): My_list.append (I.rstrip ()) ref_fa.close () Print len (my_list) #sys. exit () result = open (fast, ' W ') For k,v in D1.iteritems (): Cnt1 = Counter (v) #print cnt1 result.write ("%s\t"% K) for I in Sorted (Cnt1.items () , key = Lambda x:x[1], reverse=true): Result.write ("%s\t%d\t"% (I[0],i[1])) result.write ("\ n") for k,v in D2.iter   Items (): Cnt2 = Counter (v) #print cnt2 result.write ("%s\t"% K) for I in Sorted (Cnt2.items (), key = Lambda x:x[1], reverse=false): Res Ult.write ("%s\t%d\t"% (i[0],i[1)) result.write ("\ n") #t1 =time.clock () #print (t1-t0)

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