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#
# 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
import pprint
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 = pyparsing_common.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()
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