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dictExample.py
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# # dictExample.py # # Illustration of using pyparsing's Dict class to process tabular data # # Copyright (c) 2003, Paul McGuire # import pyparsing as pp testData = """ +-------+------+------+------+------+------+------+------+------+ | | A1 | B1 | C1 | D1 | A2 | B2 | C2 | D2 | +=======+======+======+======+======+======+======+======+======+ | min | 7 | 43 | 7 | 15 | 82 | 98 | 1 | 37 | | max | 11 | 52 | 10 | 17 | 85 | 112 | 4 | 39 | | ave | 9 | 47 | 8 | 16 | 84 | 106 | 3 | 38 | | sdev | 1 | 3 | 1 | 1 | 1 | 3 | 1 | 1 | +-------+------+------+------+------+------+------+------+------+ """ # define grammar for datatable heading = ( pp.Literal("+-------+------+------+------+------+------+------+------+------+") + "| | A1 | B1 | C1 | D1 | A2 | B2 | C2 | D2 |" + "+=======+======+======+======+======+======+======+======+======+" ).suppress() vert = pp.Literal("|").suppress() number = pp.Word(pp.nums) rowData = pp.Group( vert + pp.Word(pp.alphas) + vert + pp.delimitedList(number, "|") + vert ) trailing = pp.Literal( "+-------+------+------+------+------+------+------+------+------+" ).suppress() datatable = heading + pp.Dict(pp.ZeroOrMore(rowData)) + trailing # now parse data and print results data = datatable.parseString(testData) print(data) # shortcut for import pprint; pprint.pprint(data.asList()) data.pprint() # access all data keys print("data keys=", list(data.keys())) # use dict-style access to values print("data['min']=", data["min"]) # use attribute-style access to values (if key is a valid Python identifier) print("data.max", data.max)