Notepad++ CSV splitting and removing fields - regex
I have a collection of data in a CSV file and I want to manipulate it in so that I only use some of the values in it. example I have:
1,2,3,4,5,6
asd,sdf,dfg,fgh,ghj,hjk
asd,sdf,dfg,fgh,ghj,hjk
asd,sdf,dfg,fgh,ghj,hjk
asd,sdf,dfg,fgh,ghj,hjk
asd,sdf,dfg,fgh,ghj,hjk
what I want to do is use only use a few fields and possibly in a different order
1,4,3
I know notepad++ can break up values and rearrange them using \1,\2,ect but I don't know how I would do it for this.
Notepad++ isn't really a spreadsheet, which would be your easiest approach for this kind of edit after importing a .CSV. However it does have some limited column editing features which make this workable. Two steps are required, which are outlined below.
1) Line up your text:
a) Highlight all the text.
b) Select the TextFX menu,
c) then the TextFX Edit sub-menu,
d) then the "Line up mulitple lines by (,)"
option.
You will now have all your columns aligned on the commas.
2) Delete an individual column:
a) Ensure no text is highlighted.
b) Hold down the [alt] key while selecting the column you wish to delete with the mouse.
c) Press the delete key to delete what you've highlighted.
The above assumes you have the TextFX plugin installed. If I remember right, this comes as standard but if not, you can easily find it and add it from the Plugin Manager.
Here is an example of selecting an aligned column using the alt key and the mouse, taken from the official Notepad++ site:
http://notepad-plus-plus.org/features/column-mode-editing.html
This regular expression will match 6 groups of 0+ non-comma characters for each line:
^([^,]*),([^,]*),([^,]*),([^,]*),([^,]*),([^,]*)$
You can then replace with your captured groups like so:
\1,\4,\3
RegEx101
Side note:
Someone correct me if I'm wrong. I've been trying to reduce this down to just one repeated capturing group for legibility, but I can't seem to make it work since it only sees this as one capture group:
^([^,]*,?){6}$
Related
Google Sheets Using RegEX To Reformat & Concatenate
Link To Spreadsheet Sheet!1Name - Names are in Single Column Sheet!2Names - Names are in First Name, Last Name columns. What I'm trying to do is basically remove any suffixes, special characters, and spaces, capitalize that information, and combine it with information from another field. I was able to figure out how to piece together some regex that seems to effectively get rid of suffixes and removes special characters. It's below. That's where my skill set stops. ={"PlayerKey";ARRAYFORMULA(UPPER(IF(ISBLANK(C2:C8),,PROPER(TRIM(REGEXREPLACE(C2:C8," Jr\.$| J$| Sr\.$| S$|IV$|III$|II$|\.|-|'",""))))))} I'm having trouble nesting formulas - i believe what i need to do is nest both concat and substitute but not sure if that's the method to get the "Desired Output example" that is in the sheet. I'm also having trouble understanding what order to do things, which is why i'm having trouble with 2Name i think.
How's this in A1 of the new tab called MK.Help? =ARRAYFORMULA({"Player Key";UPPER(TRIM(REGEXREPLACE(IF(MID(C2:C8,2,1)=".",INDEX(SPLIT(C2:C8," "),,1),LEFT(C2:C8))&D2:D8," Jr\.$| J$| Sr\.$| S$|IV$|III$|II$|\.|-|'",""))&E2:E8)})
Compare files and return only the differences using Notepad++
Notepad++ has a Compare Plugin tool for comparing text files, which operates like this: Launch Notepad++ and open the two files you wish to run a comparison check on. Click the “Plugins” menu, Select “Compare” and click “Compare.” The plugin will run a comparison check and display the two files side by side, with any differences in the text highlighted. This is a nice feature, and which I have used happily for some time. Now, I have been looking for an option to go further and select the highlighted differing lines (e.g. by deleting the non-highlighted ones), or vice versa: i.e. expunge the highlighted lines. Is there a straightforward way to achieve this?
To substract two files in notepad++ (file1 - file2) you may follow this procedure: Recommended: If possible, remove duplicates on both files, specially if the files are big. To do this: Edit => Line operations => Sort Lines Lexicographically Ascending (do it on both files) Add ---------------------------- as a footer on file1 (add at least 10 dashes). This is the marker line that separates file1 content from file2. Then copy the contents of file2 to the end of file1 (after the marker) Control + H Search: (?m-s)^(?:-{10,}+\R[\s\S]*+|(.*+)\R(?=(?:(?!^-{10,}$)-++|[^-]*+)*+^-{10,}+\R(?:^.*+\R)*?\1(?:\R|\z))) note: use case sensitivity according to your needs Replace by: (leave empty) Select Regular expression radio button Replace All You can modify the marker if It is possible that file1/file2 can have lines equal to the marker. In that case you will have to adapt the regular expression. By the way, you could even record a macro to do all steps (add the marker, switch to file2, copy content to file1, apply the regex with a single button press. Edited: Changed the regex to add some improvements: Speed related: Avoid as much backtracking as possible Avoid searching after the mark Usability: Dashes are allowed for the lines. But the separator is still ^-{10,}$ Works with other characters besides words Speed comparison: New method vs Old method So basically 78ms vs 1.6seconds. So a nice improvement! That makes comparing Kilobyte-sized files possible. Still you may want to use some dedicated program for comparing or substracting bigger files.
If the number of differences is not large, a quicker method might be just bookmarking each differing line using keyboard shortcuts. Starting from the beginning of the file, press Alt+Page Down to focus on the first difference, and then press Ctrl+F2 to bookmark it. Continue with alternatingly pressing Alt+Page Down and Ctrl+F2 until the last difference. With all the differing lines bookmarked, you can use any of the operations under "Search -> Bookmarks" menu: Cut Bookmarked Lines Copy Bookmarked Lines Paste to (Replace) Bookmarked Lines Remove Bookmarked Lines Remove Unmarked Lines
I have a dirty workaround for this. It saves some time compared to Control+C, Alt+Tab, Control+V; Control+C, Alt+Tab, Control+V; ... but It may not be worth on big files or if the differences for both files are big. For bigger files you may prefer using some other tool. Typically this works best when comparing group of 'words' and does not work with content that is tabulated (like source code) So the workaround is: Optional: (depends on the content that's being compared) Sort both files (it will make the future comparison easier) To do this: Edit => Line operations => Sort Lines Lexicographically Ascending (do it on both files) Compare files with the plugin Choose one file and inspect the lines you want to keep. Add one tabulator before each of those lines. Remeber you can select several lines and press tab for tabulating them. Optionally, you may add tabulators to the lines you want to remove Sort the file. The tabulated lines will come up first. So now you can copy-paste them (or copy-paste the untabulated ones)
move the files to a linux box and then execute diff command: $ diff file1.txt file2.txt > file_diff.txt
Search/replace in block selection in Notepad++
Is there a way to limit search/replace only to a columnar block selection in Notepad++? Here is what I am trying to do: I am bulk-editing metadata extracted from large numbers of photos. The metadata comes to me as a csv file with no quotes around fields in header line and no quotes around first field in each succeeding line. I edit this file in Open Office calc which exports with quotes around all fields. I can easily edit header row but the problem comes in stripping quotes from only first field in successive lines. I can use notepad in columnar mode but, after selecting the first column, the 'search only in selection' option box is greyed out. I can do this by hand but it means lots of hand-work and increased chance of error.
I know, this probably won't help you any more, but I just had the same problem and stumbled across this question. I found moving the block in question to a new file and performing the find/replace there works quite decently. When moving the block back, be sure to select it in block mode (see this question).
No. Another editor may have this feature.
sort of a late reply but... I had the same problem when I moved to a new machine with Notepad++ installed. Previously, I was using a text editor called Boxer that had this feature, which I found invaluable. Its not free-ware however.
You may not be able to Search/Replace within a columnar selection, but you can easily carry out your task within Notepad++. Use Find and Replace feature, with the Regular Expressions box checked. If you want to remove quotes only from a target column, use the following regular expression in the Find field: (^([^,]*,){i})"([^,\n\r]*)"(.*$) Replace i with the position of the target column minus 1. (i.e.- Us 2 if you want quotes around the third column, 0 for the first column, etc) In the Replace field use: \1\3\4 Clicking "Replace All" will strip quotes from the target column. If you want to blow away all quotes surrounding each element in your csv without prejudice, use the following regular expression in the Find field: ((?<=,)|(?<=^))"(.*?)"((?=$|,)) In the Replace field use: \1\2\3 Clicking Replace All will strip quotes form the columns. Example Since you didn't provide an example csv file, I'll walk through my own working example. Below is my csv: "0","1","2","3","4","5","6","7","8","9" "10","11","12","13","14","15","16","17","18","19" "20","21","22","23","24","25","26","27","28","29" "30","31","32","33","34","35","36","37","38","39" "40","41","42","43","44","45","46","47","48","49" "50","51","52","53","54","55","56","57","58","59" "60","61","62","63","64","65","66","67","68","69" "70","71","72","73","74","75","76","77","78","79" "80","81","82","83","84","85","86","87","88","89" "90","91","92","93","94","95","96","97","98","99" "100","101","102","103","104","105","106","107","108","109" "110","111","112","113","114","115","116","117","118","119" "120","121","122","123","124","125","126","127","128","129" "130","131","132","133","134","135","136","137","138","139" "140","141","142","143","144","145","146","147","148","149" "150","151","152","153","154","155","156","157","158","159" "160","161","162","163","164","165","166","167","168","169" "170","171","172","173","174","175","176","177","178","179" "180","181","182","183","184","185","186","187","188","189" "190","191","192","193","194","195","196","197","198","199" If I wanted to remove quotes from the second column, I would use the below Find and Replace fields (^([^,]*,){1})"([^,\n\r]*)"(.*$) \1"\3"\4 Clicking Replace All yields the below result: "0",1,"2","3","4","5","6","7","8","9" "10",11,"12","13","14","15","16","17","18","19" "20",21,"22","23","24","25","26","27","28","29" "30",31,"32","33","34","35","36","37","38","39" "40",41,"42","43","44","45","46","47","48","49" "50",51,"52","53","54","55","56","57","58","59" "60",61,"62","63","64","65","66","67","68","69" "70",71,"72","73","74","75","76","77","78","79" "80",81,"82","83","84","85","86","87","88","89" "90",91,"92","93","94","95","96","97","98","99" "100",101,"102","103","104","105","106","107","108","109" "110",111,"112","113","114","115","116","117","118","119" "120",121,"122","123","124","125","126","127","128","129" "130",131,"132","133","134","135","136","137","138","139" "140",141,"142","143","144","145","146","147","148","149" "150",151,"152","153","154","155","156","157","158","159" "160",161,"162","163","164","165","166","167","168","169" "170",171,"172","173","174","175","176","177","178","179" "180",181,"182","183","184","185","186","187","188","189" "190",191,"192","193","194","195","196","197","198","199"
My search on internet, to to see weather notepad++ suports this; brought me here. I have used TextPad and confirm that it supports find-and-replace within column selected block. Also TextPad is free for personal use.
EditPad: Need a regex that handles multiple possible data formats
First, I'm using EditPadPro for my regex cleaning, so any answers given should work within that environment. I get a large spreadsheet full of data that I have to clean every day. I've managed to get it down to a couple of different regexes that I run, and this works... but I'm curious to see if it's possible to reduce down to a single regex. Here is some sample data: 3-CPC_114851_70095_70095_CAN-bre 3-CPC_114851_70095_70095_CAN b11-ao1-113775-bre b7-ao-114441 b7-ao-114441-bre b7-ao1-114441 b7-ao1-114441-bre http://go.nlvid.com/results1/?http://bo go.nlv/results1/?click b4-sm-1359 b6-sm-1356-bre 1359_195_1453814569-bre 1356_104_1456856729 b15-rad-8905 b15-rad-8905-bre Here is how the above data needs to end up: 114851-bre 114851 113775-bre 114441 114441-bre 114441 114441-bre http://go.nlvid.com/results1/ go.nlv/results1/ sm-1359 sm-1356-bre sm-1359-bre sm-1356 rad-8905 rad-8905-bre So, there are numerous rules, such as: In cases of more than 2 underscores, the result needs to contain only the value immediately after the first underscore, and everything from the dash onwards. In cases where the string contains "-ao-", "-ao1-", everything prior to the final numeric string should be removed. If a question mark is present, everything from the mark onwards should be removed. If the string contains "-sm-" or "-rad-", everything prior to those alpha strings should be removed. If the string contains 2 underscores, averything after the first numeric string up to a dash (if present) should be removed, and the string "sm-" should be prepended. Additionally there is other data that must be left untouched, including but not limited to: 113535|24905|24905 as well as many variations on this pattern of xxxxxx|yyyyy|zzzzz (and not always those string lengths) This may be asking way too much of regex, I'm not sure as I'm not great with it. But I've seen some pretty impressive things done with it, so I thought I'd put this out to the community and see what you come back with.
Jonathan, I can wrap all of those into one regex, except the last one (where you prepend sm- to a string that does not contain sm). It is not possible in this context, because we cannot capture "sm" to reuse in the replacement, and because there is no "conditional replacement" syntax in EPP. That being said, you can achieve what you want in EPP with two regexes and one macro to chain the two. Here is how. The solution below is tested in EPP. Regex 1 Press Ctrl + Sh + F to enter Search / Replace mode Enter the following Search and Replace in the appropriate boxes At the top right of the Search bar, click the Favorite Searches pull-down, select "Add", give it a name, e.g. Regex 1 Search: (?mx)^ (?=(?:[^_\r\n]*?_){3})[^_\r\n]+?_([^_\r\n]+)[^-\r\n]+(-[^\r\n]+)? | [^\r\n]*?-ao1?-\D*([^\r\n]+) | ([^\r\n?]*)(?=\?)[^\r\n]+ | [^\r\n]*?-((?:sm|rad)-[^\r\n]+) Replace: \1\2\3\4\5 Regex 2 Same 1-2-3 steps as above. Search ^(?!(?:[^_\r\n]*?_){3})(?=(?:[^_\r\n]*?_){2})(\d+)(?:[^-\r\n]+(-[^\r\n]+)?) Replace sm-\1\2 Chaining Regex 1 and Regex 2 Top menu: Macros, Record Macro, give it a name. Click the Favorite searches pulldown, select Regex 1 Hit Replace All. Click the Favorite searches pulldown, select Regex 2 Hit Replace All. Macros, Stop recording. Whenever you want to do your sequence of replacements, pull it by name under the Macros menu. Testing This I have tested my "Jonathan macro" on your input. Here is the result: 114851-bre 114851 113775-bre 114441 114441-bre 114441 114441-bre http://go.nlvid.com/results1/ go.nlv/results1/ sm-1359 sm-1356-bre sm-1359-bre sm-1356 rad-8905 rad-8905-bre
Try this: Toggle the Search Panel : SHIFT+CTRL+F SEARCH: .*?((?:sm-|rad-)?(?:(?:\d+|[\w\.]+\/.*?))(?:-\w+)?$) REPLACE: $1 Check REGEX and WORDS Click Replace All or Hit CTRL+ALT+F3 Check the image below:
Use cases for regular expression find/replace
I recently discussed editors with a co-worker. He uses one of the less popular editors and I use another (I won't say which ones since it's not relevant and I want to avoid an editor flame war). I was saying that I didn't like his editor as much because it doesn't let you do find/replace with regular expressions. He said he's never wanted to do that, which was surprising since it's something I find myself doing all the time. However, off the top of my head I wasn't able to come up with more than one or two examples. Can anyone here offer some examples of times when they've found regex find/replace useful in their editor? Here's what I've been able to come up with since then as examples of things that I've actually had to do: Strip the beginning of a line off of every line in a file that looks like: Line 25634 : Line 632157 : Taking a few dozen files with a standard header which is slightly different for each file and stripping the first 19 lines from all of them all at once. Piping the result of a MySQL select statement into a text file, then removing all of the formatting junk and reformatting it as a Python dictionary for use in a simple script. In a CSV file with no escaped commas, replace the first character of the 8th column of each row with a capital A. Given a bunch of GDB stack traces with lines like #3 0x080a6d61 in _mvl_set_req_done (req=0x82624a4, result=27158) at ../../mvl/src/mvl_serv.c:850 strip out everything from each line except the function names. Does anyone else have any real-life examples? The next time this comes up, I'd like to be more prepared to list good examples of why this feature is useful.
Just last week, I used regex find/replace to convert a CSV file to an XML file. Simple enough to do really, just chop up each field (luckily it didn't have any escaped commas) and push it back out with the appropriate tags in place of the commas.
Regex make it easy to replace whole words using word boundaries. (\b\w+\b) So you can replace unwanted words in your file without disturbing words like Scunthorpe
Yesterday I took a create table statement I made for an Oracle table and converted the fields to setString() method calls using JDBC and PreparedStatements. The table's field names were mapped to my class properties, so regex search and replace was the perfect fit. Create Table text: ... field_1 VARCHAR2(100) NULL, field_2 VARCHAR2(10) NULL, field_3 NUMBER(8) NULL, field_4 VARCHAR2(100) NULL, .... My Regex Search: /([a-z_])+ .*?,?/ My Replacement: pstmt.setString(1, \1); The result: ... pstmt.setString(1, field_1); pstmt.setString(1, field_2); pstmt.setString(1, field_3); pstmt.setString(1, field_4); .... I then went through and manually set the position int for each call and changed the method to setInt() (and others) where necessary, but that worked handy for me. I actually used it three or four times for similar field to method call conversions.
I like to use regexps to reformat lists of items like this: int item1 double item2 to public void item1(int item1){ } public void item2(double item2){ } This can be a big time saver.
I use it all the time when someone sends me a list of patient visit numbers in a column (say 100-200) and I need them in a '0000000444','000000004445' format. works wonders for me! I also use it to pull out email addresses in an email. I send out group emails often and all the bounced returns come back in one email. So, I regex to pull them all out and then drop them into a string var to remove from the database. I even wrote a little dialog prog to apply regex to my clipboard. It grabs the contents applies the regex and then loads it back into the clipboard.
One thing I use it for in web development all the time is stripping some text of its HTML tags. This might need to be done to sanitize user input for security, or for displaying a preview of a news article. For example, if you have an article with lots of HTML tags for formatting, you can't just do LEFT(article_text,100) + '...' (plus a "read more" link) and render that on a page at the risk of breaking the page by splitting apart an HTML tag. Also, I've had to strip img tags in database records that link to images that no longer exist. And let's not forget web form validation. If you want to make a user has entered a correct email address (syntactically speaking) into a web form this is about the only way of checking it thoroughly.
I've just pasted a long character sequence into a string literal, and now I want to break it up into a concatenation of shorter string literals so it doesn't wrap. I also want it to be readable, so I want to break only after spaces. I select the whole string (minus the quotation marks) and do an in-selection-only replace-all with this regex: /.{20,60} / ...and this replacement: /$0"¶ + "/ ...where the pilcrow is an actual newline, and the number of spaces varies from one incident to the next. Result: String s = "I recently discussed editors with a co-worker. He uses one " + "of the less popular editors and I use another (I won't say " + "which ones since it's not relevant and I want to avoid an " + "editor flame war). I was saying that I didn't like his " + "editor as much because it doesn't let you do find/replace " + "with regular expressions.";
The first thing I do with any editor is try to figure out it's Regex oddities. I use it all the time. Nothing really crazy, but it's handy when you've got to copy/paste stuff between different types of text - SQL <-> PHP is the one I do most often - and you don't want to fart around making the same change 500 times.
Regex is very handy any time I am trying to replace a value that spans multiple lines. Or when I want to replace a value with something that contains a line break. I also like that you can match things in a regular expression and not replace the full match using the $# syntax to output the portion of the match you want to maintain.
I agree with you on points 3, 4, and 5 but not necessarily points 1 and 2. In some cases 1 and 2 are easier to achieve using a anonymous keyboard macro. By this I mean doing the following: Position the cursor on the first line Start a keyboard macro recording Modify the first line Position the cursor on the next line Stop record. Now all that is needed to modify the next line is to repeat the macro. I could live with out support for regex but could not live without anonymous keyboard macros.