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#
# parseTabularData.py
#
# Example of parsing data that is formatted in a tabular listing, with
# potential for missing values. Uses new addCondition method on
# ParserElements.
#
# Copyright 2015, Paul McGuire
#
from pyparsing import col, Word, Optional, alphas, nums
table = """\
1 2
12345678901234567890
COLOR S M L
RED 10 2 2
BLUE 5 10
GREEN 3 5
PURPLE 8"""
# function to create column-specific parse conditions
def mustMatchCols(startloc, endloc):
return lambda s, l, t: startloc <= col(l, s) <= endloc
# helper to define values in a space-delimited table
# (change empty_cell_is_zero to True if a value of 0 is desired for empty cells)
def tableValue(expr, colstart, colend):
empty_cell_is_zero = False
if empty_cell_is_zero:
return Optional(
expr.copy().addCondition(
mustMatchCols(colstart, colend), message="text not in expected columns"
),
default=0,
)
else:
return Optional(
expr.copy().addCondition(
mustMatchCols(colstart, colend), message="text not in expected columns"
)
)
# define the grammar for this simple table
colorname = Word(alphas)
integer = Word(nums).setParseAction(lambda t: int(t[0])).setName("integer")
row = (
colorname("name")
+ tableValue(integer, 11, 12)("S")
+ tableValue(integer, 15, 16)("M")
+ tableValue(integer, 19, 20)("L")
)
# parse the sample text - skip over the header and counter lines
for line in table.splitlines()[3:]:
print(line)
print(row.parseString(line).dump())
print("")