I am trying to load a file in PIG which 2 words may be separated with spaces or tabs (may me more than one). Is there a way to delimit the file load using a regex for whitespace? Or is there any other way to achieve the below?
Input:
COUNTESS This young gentlewoman had a father,--O, that`
Output:
COUNTESS
This
young
gentlewoman
had
a
father,--O,
that
It would be great to have a comma delimiter also, but that would make it more complex. For now, only the whitespace delimiter should work for me.
Load the file as a line and then use TOKENIZE.If you have a mixture of tabs and space then after loading the data add a step to replace the tabs with spaces in the line and then use TOKENIZE.
A = LOAD 'test2.txt' as (line:chararray);
B = FOREACH A GENERATE FLATTEN(TOKENIZE(A.$0));
C = FOREACH B GENERATE TOBAG(*);
DUMP C;
OUTPUT
I don't really know PIG, but here's some info:
https://pig.apache.org/docs/r0.9.1/func.html#strsplit
STRSPLIT(string, regex, limit)
regex could be something like [\s,]+. That will split on any blocks of whitespace and commas. So for instance, a b,c ,d, e would split in to each letter. the order of space and comma does not matter.
Related
I have a text file which I'm looking to remove some data from. The data is separated using a colon ':' as the delimiter. There are approx 9 separations. The data after the 7th column is most often null and thus useless but the additional colons are still there.
An example of the file would like this:
column1:column2:column3:column4:column5:column6:column7:column8:column9:column10
I hope to remove the info from after column8. So the data to be removed would be:
:column9:column10
Could someone advise me how to do so in Regex?
I've been reading and no where have I found a way to isolate a colon and text following after x number of colons.
Any help you could offer would be much appreciated.
$_ = join ":", ( split /:/, $_, -1 )[0..7];
or
s/(?::[^:]*){2}\z//;
The following regex will keep the first 8 columns and discard all others.
s/^[^:]*(?::[^:]*){7}\K.*//;
Assumes simple single line records.
I have a large set of data I need to clean with open refine.
I am quite bad with regex and I can't think of a way to get what I want,
which is extracting a text string between quotes that includes lots of special characters like " ' / \ # # -
In each cell, it has the same format
caption': u'text I want to extract', u'likes':
Any help would be highly appreciated!
If you want to extract text string that includes lots of special characters in between, and is located between quotes ' ', You can do it in general this way:
\'[\S\s]*?\'
Demo
.
In your case, if you want to extract only the medial quote from this: caption': u'text I want to extract', u'likes': , Try this Regex:
(?<=u\')[\V]*?(?=\'\,)
Demo
We designed OpenRefine with a few smart functions to handle common cases such as yours without using Regex.
Two other cool ways to handle this in OpenRefine.
Using drop down menu:
Edit Column
Split into several columns
by separator Separator '
Using smartSplit
(string s, optional string sep)
returns: array
Returns the array of strings obtained by splitting s with separator sep. Handles quotes properly. Guesses tab or comma separator if "sep" is not given.
value.smartSplit("'")[2]
The data I want to parse has columns with the following format:
Character Big Medium Meaning ImageCode Small Constitutens Lesson Frame Strokes JH JTPL Heisig Story koohiiStory1 koohiiStory2 On-Reading Kun-Reading Examples:
All of those are separated by tabs \t (even though it may not look like it on the browser). Also notice at the end of each line there is a colon :. The problem is that the columns koohiiStory2 and examples may or may not exist and there may also be cases in which the data is corrupt and there is a tab inside Heisig Story but those are the minority.
What I'm trying to match is the values for On-Reading, Kun-Reading and Examples. All of these are distinct from the rest because they don't use standard english characters (romaji) but they use japanese characters instead with the exception of perhaps a few commas or dots. It is also guaranteed that either Kun-Reading or Examples will end with a colon : and that On-Reading and Kun-Reading will exist and that all three of the columns will be consecutive.
Here is some sample data.
How can I parse that to return this?
Alright, I'll give it a shot.
Since the content you expect is mostly non-ascii characters within a dot + space or tab* and :
(?<=\.(\s|\t)) // Positive lookbehind for a 'dot' + 'space or tab'
[^\w]+ // Any non words
(?=\:) // Positive lookahead for a ':'
Working sample on regex101
In a .csv file I have lines like the following :
10,"nikhil,khandare","sachin","rahul",viru
I want to split line using comma (,). However I don't want to split words between double quotes (" "). If I split using comma I will get array with the following items:
10
nikhil
khandare
sachin
rahul
viru
But I don't want the items between double-quotes to be split by comma. My desired result is:
10
nikhil,khandare
sachin
rahul
viru
Please help me to sort this out.
The character used for separating fields should not be present in the fields themselves. If possible, replace , with ; for separating fields in the csv file, it'll make your life easier. But if you're stuck with using , as separator, you can split each line using this regular expression:
/((?:[^,"]|"[^"]*")+)/
For example, in Python:
import re
s = '10,"nikhil,khandare","sachin","rahul",viru'
re.split(r'((?:[^,"]|"[^"]*")+)', s)[1::2]
=> ['10', '"nikhil,khandare"', '"sachin"', '"rahul"', 'viru']
Now to get the exact result shown in the question, we only need to remove those extra " characters:
[e.strip('" ') for e in re.split(r'((?:[^,"]|"[^"]*")+)', s)[1::2]]
=> ['10', 'nikhil,khandare', 'sachin', 'rahul', 'viru']
If you really have such a simple structure always, you can use splitting with "," (yes, with quotes) after discarding first number and comma
If no, you can use a very simple form of state machine parsing your input from left to right. You will have two states: insides quotes and outside. Regular expressions is a also a good (and simpler) way if you already know them (as they are basically an equivalent of state machine, just in another form)
I have a text file (output from an old program) that I'd like to clean. Here's an example of the file contents.
*|V|0|0|0|t|0|1|1|4|11|T4|H01||||||||||||||||||||||
P|40|0.01|10|1|1|0|40|1|1|1||1|*||0|0|0||||||||||||||||
*|A1|A1|A7|A16|F|F|F|F|F|F|F|||||||||||||||||||||||
*|||||kV|kV|kV|MW|MVAR|S|S||||||||||||||||||||||||
N|I|01|H01N01|H01N01|132|125.4|138.6|0|0|||||||||||||||||||||
N|I|01|H01N02|H01N02|20|19|21|0|0|||||||||||||||||||||||
N|I|01|H01N03|H01N03|20|19|21|0.42318823|0.204959433|||||||||||||||||||||
|||||||||||||||||
|||||||||||||||||
L|I|H010203|H01N02|H01N03|1.884|360|0.41071|0.207886957||3.19E-08|3.19E-08|||||||||||
L|I|H010304|H01N03|H01N04|1.62|360|0.35316|0.1787563||3.19E-08||3.19E-08||||||||||||
L|I|H010405|H01N04|H01N05|0.532|360|0.11598|0.058702686||3.19E-08||3.19E-08|||||||||||
L|I|H010506|H01N05|H01N06|1.284|360|0.27991|0.14168092||3.19E-08||3.19E-08||||||||||||
S|SH01|SEZIONE01|1|-3|+3|-100|+100|||||||||||||||||||
S|SH02|SEZIONE02|1|-3|+3|-100|+100|||||||||||||||||||
S|SH03|SEZIONE03|1|-3|+3|-100|+100|||||||||||||||||||
||||||||||||asasasas
S|SH04|SEZIONE04|1|-3|+3|-100|+100|||||||||||||||||||
*|comment
S|SH05|SEZIONE05|1|-3|+3|-100|+100|||||||||||||||||||
I'd like it to look like:
*|V|0|0|0|t|0|1|1|4|11|T4|H01||||||||||||||||||||||
*|comment
*|comment
P|40|0.01|10|1|1|0|40|1|1|1||1|*||0|0|0||||||||||||||||
*|A1|A1|A7|A16|F|F|F|F|F|F|F|||||||||||||||||||||||
*|||||kV|kV|kV|MW|MVAR|S|S||||||||||||||||||||||||
N|I|01|H01N01|H01N01|132|125.4|138.6|0|0|||||||||||||||||||||
N|I|01|H01N02|H01N02|20|19|21|0|0|||||||||||||||||||||||
N|I|01|H01N03|H01N03|20|19|21|0.42318823|0.204959433|||||||||||||||||||||
*|comment||||||||||||||||
*|comment|||||||||||||||||
L|I|H010203|H01N02|H01N03|1.884|360|0.41071|0.207886957||3.19E-08||3.19E-08|||||||||||
L|I|H010304|H01N03|H01N04|1.62|360|0.35316|0.1787563||3.19E-08||3.19E-08||||||||||||||
L|I|H010405|H01N04|H01N05|0.532|360|0.11598|0.058702686||3.19E-08||3.19E-08|||||||||||
L|I|H010506|H01N05|H01N06|1.284|360|0.27991|0.14168092||3.19E-08||3.19E-08||||||||||||
*|comment
*|comment
S|SH01|SEZIONE01|1|-3|+3|-100|+100|||||||||||||||||||
S|SH02|SEZIONE02|1|-3|+3|-100|+100|||||||||||||||||||
S|SH03|SEZIONE03|1|-3|+3|-100|+100|||||||||||||||||||
S|SH04|SEZIONE04|1|-3|+3|-100|+100|||||||||||||||||||
S|SH05|SEZIONE05|1|-3|+3|-100|+100|||||||||||||||||||
The data are divided into 'packages' distinct from the first letter (PNLS). Each package must have at least two dedicated lines (* |) which is then read as a comment. The white lines between different letters are filled with character * |. The lines between various letters that do not begin with * | to be added. The white lines and characters 'random' between identical letters are removed.
Perhaps it is clearer in the example files.
How do I manipulate the text? Thank you in advance for the help.
Use fileread to get your file into MATLAB.
text = fileread('my file to clean.txt');
Split the resulting character string up by splitting on the new lines. (The newlines characters depend on your operating system.)
lines = regexp(text, '\r\n', 'split');
It isn't entirely clear exactly how you want the file cleaned, but these things might get you started.
% Replace blank lines with comment string
blanks = cellfun(#isempty, lines);
comment = '*|comment';
lines(blanks) = cellstr(repmat(comment, sum(blanks), 1))
% Prepend comment string to lines that start with a pipe
lines = regexprep(lines, '^\|', '\*\|comment\|')
You'll be needing to know your way around regular expressions. There's a good guide to them at regular-expressions.info.