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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)