| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172 |
- import pandas as pd
- import re
- def dig_it(search_in, fl_point=100, pattern=r'\d+'):
- if re.search('-', search_in):
- return -int(''.join(re.findall(pattern, search_in))[:-2]) +\
- -int(''.join(re.findall(pattern, search_in))[-2:]) / fl_point
- else:
- return int(''.join(re.findall(pattern, search_in))[:-2]) +\
- int(''.join(re.findall(pattern, search_in))[-2:]) / fl_point
- info_df = pd.read_csv('transi.csv', nrows=5, skiprows=5)
- # print(info_df)
- trans_df = pd.read_csv('transi.csv', skiprows=16,
- keep_default_na=False)
- def isdebit(value):
- try:
- dig_it(value)
- return True
- except ValueError:
- return False
- def statm_transactions(elem):
- if isdebit(elem[4]) is False:
- CD_mark = 'C'
- else:
- CD_mark = 'D'
- # try:
- if re.search('-', elem[4]):
- elem[4] = elem[4].replace('-', '')
- # except TypeError:
- # pass
- # try:
- if re.search(',|.', elem[4]):
- elem[4] = elem[4].replace(',', '').replace('.', ',')
- if re.search(',|.', elem[5]):
- elem[5] = elem[5].replace(',', '').replace('.', ',')
- # except TypeError:
- # pass
- if isdebit(elem[4]):
- tr = ':61:' + elem[0][2:4] + elem[0][5:7] + elem[0][8:10] + elem[0][5:7] +\
- elem[0][8:10] + CD_mark + elem[4] + 'NTRF' + str(elem[3]) + '\n'
- inf = elem[2] + '\n'
- more_inf = ':86:' + '+31' + ''.join(elem[2].split(sep=';')[-2:-1]) +\
- '\n' + '+32' + ''.join(elem[2].split(sep=';')[-3:-2])
- return tr + inf + more_inf
- else:
- tr = ':61:' + elem[0][2:4] + elem[0][5:7] + elem[0][8:10] + elem[0][5:7] +\
- elem[0][8:10] + CD_mark + elem[5] + 'NTRF' + str(elem[3]) + '\n'
- inf = elem[2] + '\n'
- more_inf = ':86:' + '+31' + ''.join(elem[2].split(sep=';')[-2:-1]) +\
- '\n' + '+32' + ''.join(elem[2].split(sep=';')[-3:-2])
- return tr + inf + more_inf
- # print(isdebit(trans_df.values[0][4]))
- # for i in trans_df.values:
- # print(i[2])
- # # print(dig_it(trans_df.values[0][4]))
- #
- transactions = map(statm_transactions, trans_df.values)
- # # # #
- for i in transactions:
- print(i)
|
