I am using Google sheets and not sure why I can not get this to work but I think I have a bracket off or syntax not quite right.
I am trying to parse out a URL and get the last 3 letters to compare to in my IF statement. If the 3 letters match png then do something if not do another.
=IF(RIGHT(E2,LEN(E2)4)=".png",CONCATENATE(F2,G4), CONCATENATE(F2, G3))
The URL comes in through a formula into the cell E2 using this:
=ImportXML(B3, "//meta[#property='og:image']/#content")
I am not sure if that has something to do with it or not but I have found I need to test for .jpg and .png because not everyone uploads .jpg all the time causing things to break on my feed.
Here is my google spreadsheet
You could do this will a regexmatch and regexreplace:
=if(REGEXMATCH(E2,"\.png"),REGEXREPLACE(E2,"\.png","-500x500.png"),REGEXREPLACE(E2,"\.jpg","-500x500.jpg"))
Basically it is checking for the .png like in your original formula - just a slightly shorter, easier way, if it is there, it automatically returns true, so then you can use regexreplace to swap it out for the extension you want, else swap out the jpg extension.
try:
=IF(RIGHT(E2,4)=".png",CONCATENATE(F2,G4), CONCATENATE(F2, G3))
Related
I'm trying to keep lines that contain the word "NOA" in a column A which has many multi-line cells as can be viewed in this Google Spreadsheet.
If "NOA" is present then, I would like to keep the line. The input and output should look like the image which I have "working" with too-many helper cells. Can this be combined into a single formula?
Theoretical Approaches:
I have been thinking about three approaches to solve this:
ARRAYFORMULA(REGEXREPLACE - couldn't get it to work
JOIN(FILTER(REGEXMATCH(TRANSPOSE - showing promise as it works in multiple steps
Using the QUERY Function - unfamiliar w/ function but wondering if this function has a fast solution
Practical attempts:
FIRST APPROACH: first I attempted using REGEXEXTRACT to extract out everything that did not have NOA in it, the Regex worked in demo but didn't work properly in sheets. I thought this might be a concise way to get the value, perhaps if my REGEX skill was better?
ARRAYFORMULA(REGEXREPLACE(A1:A7, "^(?:[^N\n]|N(?:[^O\n]|O(?:[^A\n]|$)|$)|$)+",""))
I think the Regex because overly complex, didn't work in Google or perhaps the formula could be improved, but because Google RE2 has limitations it makes it harder to do certain things.
SECOND APPROACH:
Then I came up with an alternate approach which seems to work 2 stages (with multiple helper cells) but I would like to do this with one equation.
=TRANSPOSE(split(A2,CHAR(10)))
=TEXTJOIN(CHAR(10),1,FILTER(C2:C7,REGEXMATCH(C2:C7,"NOA")))
Questions:
Can these formulas be combined and applied to the entire Column using an Index or Array?
Or perhaps, the REGEX in my first approach can be modified?
Is there a faster solution using Query?
The shared Google spreadhseet is here.
Thank you in advance for your help.
Here's one way you can do that:
=index(substitute(substitute(transpose(trim(
query(substitute(transpose(if(regexmatch(split(
filter(A2:A,A2:A<>""),char(10)),"NOA"),split(
filter(A2:A,A2:A<>""),char(10)),))," ","❄️")
,,9^9)))," ",char(10)),"❄️"," "))
First, we split the data by the newline (char 10), then we filter out the lines that don't contain NOA and finally we use a "query smush" to join everything back together.
I am using an arrayformula to add .png suffix to the text in column A. Right now it looks like this:
=arrayformula(A:A &".png" )
Since I want this to be a part of a macro, I won't manually be able to choose the exact range.
So how do I limit the formula, to only add the suffix, if the cells in column A had any text in it, to begin with? Right now I end up with a lot of cells where it just says ".png" because the cell was empty.
I have tried playing around with =if(istext(A:A) but I couldn't figure out how to construct the statement. And maybe it is not the way to go?
try:
=ARRAYFORMULA(INDIRECT("A1:A"&COUNTA(A:A))&".png")
or shorter:
=ARRAYFORMULA(IF(A:A="",,A:A&".png")
or regex:
=ARRAYFORMULA(REGEXREPLACE(A:A, "(.+)", "$1.png"))
See if this helps
=Arrayformula(if(len(A:A), A:A&".png",))
Using below code
=ARRAYFORMULA(A1:A&".png")
should do the thing.
I want to check if specific cell contain only numbers.
I know I should use RegExMatch but I get an error.
This is what I wrote : =if(RegExMatch(H2,[0-9]),"a","b")
I want it to say : write 'a' if H2 contains only numbers, 'b' otherwise.
Thank you
Try this:
=IF(ISNUMBER(H2,"A","B"))
or
=if(isna(REGEXEXTRACT(text(H2,"#"),"\d+")),"b","a")
One reason your match isn't working also - is that it in interpreting your numbers as text. the is number function is a bit more consistent, but if you really need to use regex, then you can see in the second formula where im making sure the that source text is matching against a string.
Your formula is right, simple you forget the double quotes at regexmatch function's regular_expression .
This is the right formula: =if(RegExMatch(B20,"[0-9]"),"a","b")
=REGEXREPLACE(“text”,”regex”,”replacement”)
It spits out the entire content but with the regular expression matched content replaced. =REGEXREPLACE(A2,[0-9],"a")
=REGEXREPLACE(A2,![0-9],"b")//not sure about not sign.
will fill a cell with the same text as A2, but with the 0-9 becoming an a!
I have a txt file that I’m trying to import as flat file into SQL2008 that looks like this:
“123456”,”some text”
“543210”,”some more text”
“111223”,”other text”
etc…
The file has more than 300.000 rows and the text is large (usually 200-500 chars), so scanning the file by hand is very time consuming and prone to error. Other similar (and even more complex files) were successfully imported.
The problem with this one, is that “some lines” contain quotes in the text… (this came from an export from an old SuperBase DB that didn’t let you specify a text quantifier, there’s nothing I can do with the file other than clear it and try to import it).
So the “offending” lines look like this:
“123456”,”this text “contains” a quote”
“543210”,”And the “above” text is bad”
etc…
You can see the problem here.
Now, 300.000 is not too much if I could perform a search using a text editor that can use regex, I’d manually remove the quotes from each line. The problem is not the number of offending lines, but the impossibility to find them with a simple search. I’m sure there are less than 500, but spread those in a 300.000 lines txt file and you know what I mean.
Based upon that, what would be the best regex I could use to identify these lines?
My first thought is: Tell me which lines contain more than 4 quotes (“).
But I couldn’t come up with anything (I’m not good at Regex beyond the basics).
this pattern ^("[^"]+){4,} will match "lines containing more than 4 quotes"
you can experiment with replacing 4 with 5 or more, depending on your data.
I think that you can be more direct with a Regex than you're planning to be. Depending on your dialect of Regex, something like this should do it:
^"\d+",".*".*"
You could also use a regex to remove the outside quotes and use a better delimeter instead. For example, search for ^"([0-9]+)","(.*)"$ and replace it with \1+++++DELIM+++++\2.
Of course, this doesn't directly answer your question, but it might solve the problem.
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.