Revision 738
Added by Aaron Marcuse-Kubitza almost 13 years ago
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# Combines two map spreadsheets A0->B and A1->C to A->B, with A0 overwriting A1 |
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import csv |
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import os.path |
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import sys |
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sys.path.append(os.path.dirname(__file__)+"/../lib") |
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import maps |
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def main(): |
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try: _prog_name, map_1_path = sys.argv |
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except ValueError: |
... | ... | |
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map_ = {} |
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def add_map(reader): |
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for row in reader: |
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if row[1] != '': map_[row[0]] = row[1:] |
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if row[0] != '': |
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try: new = map_[row[0]] |
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except KeyError: new = row |
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else: new = maps.merge_mappings(new, row) |
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map_[row[0]] = new |
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# Get map 1 |
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stream = open(map_1_path, 'rb') |
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# Add map 0 to map 1, overwriting existing entries |
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reader = csv.reader(sys.stdin) |
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map_0_cols = reader.next() |
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if not map_0_cols[0] == map_1_cols[0]: raise SystemExit('Map error: '
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if map_0_cols[0] != map_1_cols[0]: raise SystemExit('Map error: '
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'Map 1 column 0 name doesn\'t match map 0 column 0 name') |
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add_map(reader) |
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# Write combined map |
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writer = csv.writer(sys.stdout) |
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writer.writerow(map_0_cols)
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for in_, rest in map_.iteritems(): writer.writerow([in_]+rest)
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writer.writerow(maps.merge_mappings(map_1_cols, map_0_cols))
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for row in map_.itervalues(): writer.writerow(row)
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main() |
Also available in: Unified diff
union: Merge rows (and column labels) using maps.merge_mappings()