# # dictExample2.py # # Illustration of using pyparsing's Dict class to process tabular data # Enhanced Dict example, courtesy of Mike Kelly # # Copyright (c) 2004, Paul McGuire # from pyparsing import ( Literal, Word, Group, Dict, ZeroOrMore, alphas, nums, delimitedList, pyparsing_common as ppc, ) 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 underline = Word("-=") number = ppc.integer vert = Literal("|").suppress() rowDelim = ("+" + ZeroOrMore(underline + "+")).suppress() columnHeader = Group(vert + vert + delimitedList(Word(alphas + nums), "|") + vert) heading = rowDelim + columnHeader("columns") + rowDelim rowData = Group(vert + Word(alphas) + vert + delimitedList(number, "|") + vert) trailing = rowDelim datatable = heading + Dict(ZeroOrMore(rowData)) + trailing # now parse data and print results data = datatable.parseString(testData) print(data.dump()) print("data keys=", list(data.keys())) print("data['min']=", data["min"]) print("sum(data['min']) =", sum(data["min"])) print("data.max =", data.max) print("sum(data.max) =", sum(data.max)) # now print transpose of data table, using column labels read from table header and # values from data lists print() print(" " * 5, end=" ") for i in range(1, len(data)): print("|%5s" % data[i][0], end=" ") print() print(("-" * 6) + ("+------" * (len(data) - 1))) for i in range(len(data.columns)): print("%5s" % data.columns[i], end=" ") for j in range(len(data) - 1): print("|%5s" % data[j + 1][i + 1], end=" ") print()