Parsing Text File To Tabular Data For Processing
The problem at hand is to parse a particular data in a tabular form using python.A small part of data is shown below Statistics indicator:0x222235 number of records = 3 record
Solution 1:
Here, maybe we don't want to use regular expressions. However, if we might want to do so, we can set attribute names as a left boundary, and collect our desired digits, maybe with an expression similar to:
value\s+(one|two|three)\s+=\s+([0-9]+)
Then, the rest of our problem can be scripted. We can also add more boundaries to our expressions, if that'd be necessary.
Demo
Test
# coding=utf8
# the above tag defines encoding for this document and is for Python 2.x compatibility
import re
regex = r"value\s+(one|two|three)\s+=\s+([0-9]+)"
test_str = ("Statistics indicator:0x222235\n\n"
"number of records = 3\n\n"
"records[0]\n\n"
"value one = 2\n\n"
"value two = 5\n\n"
"blocks = 2\n\n"
"block[0] {\n\n"
"some irrelevant data....\n\n"
"value three = 4 bytes\n\n"
"}\n\n"
"block[1]{\n\n"
"some irrelevant data...\n\n"
"value three = 6 bytes\n\n"
"}\n\n"
"records[1]\n\n"
"value one = 3\n\n"
"value two = 5\n\n"
"blocks = 1\n\n"
"block[0] {\n\n"
"some irrelevant data....\n\n"
"value three = 4 bytes\n\n"
"}\n\n"
"records[2]\n\n"
"value one = 7\n\n"
"value two = 6\n\n"
"blocks = 2\n\n"
"block[0] {\n\n"
"some irrelevant data....\n\n"
"value three = 3 bytes\n\n"
"}\n\n"
"block[1]{\n\n"
"some irrelevant data...\n\n"
"value three = 4 bytes\n\n"
"}\n\n"
"Statistics indicator:0x135256\n\n"
"number of records = 2\n\n"
"records[0]\n\n"
"value one = 4\n\n"
"value two = 8\n\n"
"blocks = 1\n\n"
"block[0] {\n\n"
"some irrelevant data....\n\n"
"value three = 6 bytes\n\n"
"}\n\n"
"records[1]\n\n"
"value one = 3\n\n"
"value two = 5\n\n"
"blocks = 1\n\n"
"block[0] {\n\n"
"some irrelevant data....\n\n"
"value three = 3 bytes\n\n"
"}")
matches = re.finditer(regex, test_str, re.MULTILINE)
for matchNum, match in enumerate(matches, start=1):
print ("Match {matchNum} was found at {start}-{end}: {match}".format(matchNum = matchNum, start = match.start(), end = match.end(), match = match.group()))
for groupNum in range(0, len(match.groups())):
groupNum = groupNum + 1
print ("Group {groupNum} found at {start}-{end}: {group}".format(groupNum = groupNum, start = match.start(groupNum), end = match.end(groupNum), group = match.group(groupNum)))
# Note: for Python 2.7 compatibility, use ur"" to prefix the regex and u"" to prefix the test string and substitution.
Demo
const regex = /value\s+(one|two|three)\s+=\s+([0-9]+)/gm;
const str = `Statistics indicator:0x222235
number of records = 3
records[0]
value one = 2
value two = 5
blocks = 2
block[0] {
some irrelevant data....
value three = 4 bytes
}
block[1]{
some irrelevant data...
value three = 6 bytes
}
records[1]
value one = 3
value two = 5
blocks = 1
block[0] {
some irrelevant data....
value three = 4 bytes
}
records[2]
value one = 7
value two = 6
blocks = 2
block[0] {
some irrelevant data....
value three = 3 bytes
}
block[1]{
some irrelevant data...
value three = 4 bytes
}
Statistics indicator:0x135256
number of records = 2
records[0]
value one = 4
value two = 8
blocks = 1
block[0] {
some irrelevant data....
value three = 6 bytes
}
records[1]
value one = 3
value two = 5
blocks = 1
block[0] {
some irrelevant data....
value three = 3 bytes
}`;
let m;
while ((m = regex.exec(str)) !== null) {
// This is necessary to avoid infinite loops with zero-width matches
if (m.index === regex.lastIndex) {
regex.lastIndex++;
}
// The result can be accessed through the `m`-variable.
m.forEach((match, groupIndex) => {
console.log(`Found match, group ${groupIndex}: ${match}`);
});
}
RegEx
If this expression wasn't desired, it can be modified or changed in regex101.com.
RegEx Circuit
jex.im visualizes regular expressions:
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