csv - Python: Concatenate two dictReader strings for header row -


i'm trying create header row in results file first file's header row plus second file's header row. example: legacy file header row: (column a, column b ...) mapping file header row: (column c, column d ...) , results file should contain: (column a, column b, column c, column d) separated out text each each column. i'm having trouble coming proper way concatenate two. can see below "+" not valid. header row first row in file. suggestions appreciated.

import csv open('legacyfile.csv', 'r') in_leg, open('mappingfile.csv', 'r') in_map, open('results.csv', 'wb') out_res:     c1 = csv.dictreader(in_leg, delimiter=',', quoting=csv.quote_none, fieldnames=[])     c2 = csv.dictreader(in_map, delimiter=',', quoting=csv.quote_none, fieldnames=[])       #set headers , write header row output file     headerlist1 = list(c1)     headerlist2 = list(c2)      c1.fieldnames = (headerlist1[0])     c2.fieldnames = (headerlist2[0])     #fieldnames = c1.fieldnames + c2.fieldnames #--> can't concatenate these     print c1.fieldnames         print c2.fieldnames      c3 = csv.dictwriter(out_res, fieldnames=fieldnames)     c3.writeheader()      in_leg.close()     in_map.close()     out_res.close() 

if @ structure of c1.fieldnames , c2.fieldnames, see formatted , typed like:

(pdb) c1.fieldnames {none: ['field1', 'field2', ..., 'fieldn']} (pdb) type(c1.fieldnames) <type 'dict'> 

so can combine these 2 creating new dictionary object has key of none , value of first set of fieldnames + second set. can use line:

fieldnames = {none: c1.fieldnames[none] + c2.fieldnames[none]} 

to accomplish this.

then when write out dictionary, make sure use line:

c3 = csv.dictwriter(out_res, fieldnames=fieldnames[none]) 

instead. need pull list of names out of dictionary object.

let me know if works.


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