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March 17, 2016 16:04
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import sys | |
import csv | |
from collections import defaultdict | |
reader = csv.reader(iter(sys.stdin.readline, ''), delimiter=';') | |
# Skip header row | |
reader.next() | |
grouped_dict = defaultdict(lambda: ['', '', '', 0.0, 0.0, 0.0, 0.0, 0.0]) | |
for row in reader: | |
# Trim whitespace in each field and remove last column (it's empty) | |
row = [field.strip() for field in row[:-1]] | |
# Strip month and day from tax period, leaving only the year | |
row[2] = row[2][:4] | |
# Group by parcel number and tax period, summing the numeric columns | |
group = grouped_dict[(row[0], row[2])] | |
for index in range(3, 8): | |
# If there's a minus at the end, move it to the front so it can be parsed | |
if row[index][-1] == '-': | |
row[index] = '-' + row[index][:-1] | |
group[index] += float(row[index]) | |
# Convert grouped_rows dict back to list of lists | |
grouped_rows = [list(key) + totals for key, totals in grouped_dict.iteritems()] | |
for row in grouped_rows: print row |
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