merging many DBF (csv) files into one, appending along column

Question 1

The only suggestion I can offer at the moment is use my dbf module instead of writing your own.

If you could give examples of two data files and an example of what they should look like in the final dbf file, I could offer more.

Here's your code, much simplified:

import dbf      
import os
from glob import glob

if __name__ == '__main__':
    # get interesting dbf file names
    ROfiles = set(glob(r"C:\Users\jcm\Desktop\RO\*(Wide)*.dbf"))

    merged_dbf = None

    # Read a database
    for dbf_filename in ROfiles:
        with dbf.Table(dbf_filename) as table:

            # create merged dbf if it hasn't been
            if merged_dbf is None:
                merged_dbf = table.new('merged')

            with merged_dbf:
                # merge in records
                for record in table:
                    merged_dbf.append(record)

                #Create a new csv from merged_dbf
                dbf.export(merged_dbf, 'catwomen')

Question 2

Here is my attempt of inputs and selecting columns desired.

import struct, datetime, decimal, itertools      
import os
import csv
location = os.listdir("C:\Users\jcm\Desktop\RO")

ROfiles = []
Nameoutput = "YouDidntNameMe"
Nameoutput = (raw_input("Name output file:"))
daytime = (raw_input("Do you want Date/Time Fields? yes or no: "))

num_lists = int(raw_input("How many Data Fields do you want? 1-6:"))
if num_lists >= 0:
                xone = 0
                xone = int(raw_input("which Row do you want for Fieldone?"))
if num_lists >= 2:
                xtwo = 0
                xtwo = int(raw_input("which Row do you want for Fieldtwo?"))
if num_lists >= 3:
                xthree = 0
                xthree = int(raw_input("which Row do you want for Fieldthree?"))
if num_lists >= 4:
                xfour = 0
                xfour = int(raw_input("which Row do you want for Fieldfour?"))
if num_lists >= 5:
                xfive = 0
                xfive = int(raw_input("which Row do you want for Fieldfive?"))
if num_lists >= 6:
                xsix = 0
                xsix = int(raw_input("which Row do you want for Fielsix?"))



location = os.listdir("C:\Users\jcm\Desktop\RO")
for filename in location:

        if "(Wide)" in filename and filename not in ROfiles: #There is 2 dbf files one named Tag and another Wide.
            ROfiles.append(filename)
total = len(ROfiles)    
def dbfreader(f):
    """Returns an iterator over records in a Xbase DBF file.

    The first row returned contains the field names.
    The second row contains field specs: (type, size, decimal places).
    Subsequent rows contain the data records.
    If a record is marked as deleted, it is skipped.

    File should be opened for binary reads.

    """
    # See DBF format spec at:
    #     http://www.pgts.com.au/download/public/xbase.htm#DBF_STRUCT

    numrec, lenheader = struct.unpack('<xxxxLH22x', f.read(32))    
    numfields = (lenheader - 33) // 32

    fields = []
    for fieldno in xrange(numfields):
        name, typ, size, deci = struct.unpack('<11sc4xBB14x', f.read(32))
        name = name.replace('\0', '')       # eliminate NULs from string   
        fields.append((name, typ, size, deci))
    yield [field[0] for field in fields]
    yield [tuple(field[1:]) for field in fields]

    terminator = f.read(1)
    assert terminator == '\r'

    fields.insert(0, ('DeletionFlag', 'C', 1, 0))
    fmt = ''.join(['%ds' % fieldinfo[2] for fieldinfo in fields])
    fmtsiz = struct.calcsize(fmt)
    for i in xrange(numrec):
        record = struct.unpack(fmt, f.read(fmtsiz))
        if record[0] != ' ':
            continue                        # deleted record
        result = []
        for (name, typ, size, deci), value in itertools.izip(fields, record):
            if name == 'DeletionFlag':
                continue
            if typ == "N":
                value = value.replace('\0', '').lstrip()
                value = value.replace(' ', '').lstrip()
                if value == '':
                    value = 0

                elif deci:
                    value = decimal.Decimal(value)
                else:
                    value = int(value)
            elif typ == 'DATE':
                y, m, d = int(value[:4]), int(value[4:6]), int(value[6:8])
                value = datetime.date(y, m, d)
            elif typ == 'L':
                value = (value in 'YyTt' and 'T') or (value in 'NnFf' and 'F') or '?'
            elif typ == 'F':
                value = float(value)
            result.append(value)
        yield result

def dbfwriter(f, fieldnames, fieldspecs, records):

    """ Return a string suitable for writing directly to a binary dbf file.

    File f should be open for writing in a binary mode.

    Fieldnames should be no longer than ten characters and not include \x00.
    Fieldspecs are in the form (type, size, deci) where
        type is one of:
            C for ascii character data
            M for ascii character memo data (real memo fields not supported)
            D for datetime objects
            N for ints or decimal objects
            L for logical values 'T', 'F', or '?'
        size is the field width
        deci is the number of decimal places in the provided decimal object
    Records can be an iterable over the records (sequences of field values).

    """
    # header info
    ver = 3
    now = datetime.datetime.now()
    yr, mon, day = now.year-1900, now.month, now.day
    numrec = len(records)
    numfields = len(fieldspecs)
    lenheader = numfields * 32 + 33
    lenrecord = sum(field[1] for field in fieldspecs) + 1
    hdr = struct.pack('<BBBBLHH20x', ver, yr, mon, day, numrec, lenheader, lenrecord)
    f.write(hdr)

    # field specs
    for name, (typ, size, deci) in itertools.izip(fieldnames, fieldspecs):
        name = name.ljust(11, '\x00')
        fld = struct.pack('<11sc4xBB14x', name, typ, size, deci)
        f.write(fld)

    # terminator
    f.write('\r')

    # records
    for record in records:
        f.write(' ')                        # deletion flag
        for (typ, size, deci), value in itertools.izip(fieldspecs, record):
            if typ == "N":
                value = str(value).rjust(size, ' ')

            elif typ == 'DATE':
                value = value.strftime('%Y%m%d')
            elif typ == 'L':
                value = str(value)[0].upper()
            else:
                value = str(value)[:size].ljust(size, ' ')
            #assert len(value) == size
            f.write(value)
        if num_lists >= 0:
                yoloOne.append(int(float(record[xone])))#Data List
        if num_lists >= 2:
                yolotwo.append(int(float(record[xtwo])))#Data List
        if num_lists >= 3:
                yolothree.append(int(float(record[xthree])))#Data List
        if num_lists >= 4:
                yolofour.append(int(float(record[xfour])))#Data List
        if num_lists >= 5:
                yolofive.append(int(float(record[xfive])))#Data List
        if num_lists >= 6:
                yolosix.append(int(float(record[xsix])))#Data List
        if daytime == "yes" or daytime == "y" or daytime == "YES" or daytime == "Yes" or daytime == "Y" :
                yoloies.append(record[1])  #Time list  

                yolos.append(int(record[0])) #Date list
    # End of file
    f.write('\x1A')


# -------------------------------------------------------
# Example calls

if __name__ == '__main__':
    import sys, csv
    from cStringIO import StringIO
    from operator import itemgetter

    seen = set()
    # Read a database
    for x in ROfiles:
        if x not in seen:
            yoloies = []
            yoloOne = []
            yolotwo = []
            yolothree = []
            yolofour = []
            yolofive = []
            yolosix = []
            yolos = [] 
            seen.add(x)
            filename = 'C:\Users\jcm\Desktop\RO\\'+x
            print filename
            if len(sys.argv) == 2:
                filename = sys.argv[1]
            f = open(filename, 'rb')
            db = list(dbfreader(f))
            f.close()
            #for record in db:
                #print record
            fieldnames, fieldspecs, records = db[0], db[1], db[2:]

            # Alter the database
            #del records[0]
            #records.sort(key=itemgetter(4))

            # Remove a field
            #del fieldnames[3]
            #del fieldspecs[3]
            #records = [rec[1:] for rec in records]

            # Create a new DBF
            f = StringIO()
            dbfwriter(f, fieldnames, fieldspecs, records)
            #Create a new csv
            print yoloOne

            if num_lists == 0 or num_lists == 1:
                    if daytime == "yes" or daytime == "y" or daytime == "YES" or daytime == "Yes" or daytime == "Y" :

                            with open(Nameoutput+".csv", "ab") as out_file:

                                for date, time, intensityone in zip(yolos, yoloies, yoloOne):

                                    out_file.write("%i,%s,%i\n" % (date, time, intensityone))
                                print "done"
                    else:
                            with open(Nameoutput+".csv", "ab") as out_file:

                                for  intensityone,in zip(yoloOne):

                                    out_file.write("%i,\n" % ( intensityone))
                                print "done"

            if num_lists == 2:
                    if daytime == "yes" or daytime == "y" or daytime == "YES" or daytime == "Yes" or daytime == "Y" :

                            with open(Nameoutput+".csv", "ab") as out_file:

                                for date, time, intensityone, intensitytwo in zip(yolos, yoloies, yoloOne, yolotwo):

                                    out_file.write("%i,%s,%i,%i\n" % (date, time, intensityone, intensitytwo))
                                print "done"
                    else:
                            with open(Nameoutput+".csv", "ab") as out_file:

                                for  intensityone, intensitytwo, intensitythree in zip(yoloOne, yolotwo):

                                    out_file.write("%i,%i\n" % ( intensityone, intensitytwo))
                                print "done"

            if num_lists == 3:
                    if daytime == "yes" or daytime == "y" or daytime == "YES" or daytime == "Yes" or daytime == "Y" :

                            with open(Nameoutput+".csv", "ab") as out_file:

                                for date, time, intensityone, intensitytwo, intensitythree in zip(yolos, yoloies, yoloOne, yolotwo, yolothree):

                                    out_file.write("%i,%s,%i,%i,%i\n" % (date, time, intensityone, intensitytwo, intensitythree))
                                print "done"
                    else:
                            with open(Nameoutput+".csv", "ab") as out_file:

                                for  intensityone, intensitytwo, intensitythree in zip(yoloOne, yolotwo, yolothree):

                                    out_file.write("%i,%i,%i\n" % ( intensityone, intensitytwo, intensitythree))
                                print "done"
            if num_lists == 4:
                    if daytime == "yes" or daytime == "y" or daytime == "YES" or daytime == "Yes" or daytime == "Y" :

                            with open(Nameoutput+".csv", "ab") as out_file:

                                for date, time, intensityone, intensitytwo, intensitythree, intensityfour  in zip(yolos, yoloies, yoloOne, yolotwo, yolothree, yolofour):

                                    out_file.write("%i,%s,%i,%i,%i,%i\n" % (date, time, intensityone, intensitytwo, intensitythree, intensityfour ))
                                print "done"
                    else:
                            with open(Nameoutput+".csv", "ab") as out_file:

                                for  intensityone, intensitytwo, intensitythree, intensityfour in zip(yoloOne, yolotwo, yolothree, yolofour):

                                    out_file.write("%i,%i,%i,%i\n" % ( intensityone, intensitytwo, intensitythree, intensityfour))
                                print "done"
            if num_lists == 5:
                    if daytime == "yes" or daytime == "y" or daytime == "YES" or daytime == "Yes" or daytime == "Y" :

                            with open(Nameoutput+".csv", "ab") as out_file:

                                for date, time, intensityone, intensitytwo, intensitythree, intensityfour, intensityfive in zip(yolos, yoloies, yoloOne, yolotwo, yolothree, yolofour, yolofive):

                                    out_file.write("%i,%s,%i,%i,%i,%i,%i\n" % (date, time, intensityone, intensitytwo, intensitythree, intensityfour, intensityfive ))
                                print "done"
                    else:
                            with open(Nameoutput+".csv", "ab") as out_file:

                                for  intensityone, intensitytwo, intensitythree, intensityfour, intensityfive  in zip(yoloOne, yolotwo, yolothree, yolofour, yolofive ):

                                    out_file.write("%i,%i,%i,%i,%i\n" % ( intensityone, intensitytwo, intensitythree, intensityfour, intensityfive))
                                print "done"

            if num_lists >= 6:
                    if daytime == "yes" or daytime == "y" or daytime == "YES" or daytime == "Yes" or daytime == "Y" :

                            with open(Nameoutput+".csv", "ab") as out_file:

                                for date, time, intensity in zip(yolos, yoloies, yoloOne, yolotwo, yolothree, yolofour, yolofive, yolosix ):

                                    out_file.write("%i,%s,%i,%i,%i,%i,%i,%i\n" % (date, time, intensityone, intensitytwo, intensitythree, intensityfour, intensityfive, intensitysix))
                                print "done"
                    else:
                            with open(Nameoutput+".csv", "ab") as out_file:

                                for intensityone, intensitytwo, intensitythree, intensityfour, intensityfive, intensitysix in zip(yoloOne, yolotwo, yolothree, yolofour, yolofive, yolosix ):

                                    out_file.write("%i,%i,%i,%i,%i,%i\n" % ( intensityone, intensitytwo, intensitythree, intensityfour, intensityfive, intensitysix))
                                print "done"