It actually works in spite of what you may think, and it does the job better than any small codes I've found, and that others have pointed to.
Yes, it's very "compact" code,  and not how you'd professionaly do it at work,. but we're not at work. I do it for fun, so please keep it nice and focus on good qualities, and minimalism!
PS:  seems everyone wants to critizie, please don't. I don't need to hear about "professional" programming etc. This is for fun.\
PSS: Keep in mind that this is "one minimalistic" style that I've choosen, I program on a mobile phone screen, so I like functions to fit on one screern. It's a sport of sorts, but not compromising functionality or correctness.
And yes I know how to write extreemly clear corporate code that will pass stringent code reviews. But that "costs" much much more.

KDB+ is APL influenced, and it's a challenge for many. But it has find it's place and people... (And visualizing GUI )

Jonas S Karlsson   btw., the interesting part with KDB+ here is not even how typical K code looks like, but the underlying C code written by Arthur Whitney. Behold the examples: https://kparc.com/b/ - and this is the kind of code that works in production and is driving multi-trillion $ industry daily.
KPARC.COM Index of /b/

Jonas S Karlsson Arthur knew Ken Iverson from childhood . As I remember his father & Ken were classmates in Alberta . He's ~ the same age as Ken's sons . He created his first APL variant , A+ , at Morgan Stanley and I believe it's still used .
When Ken , with Roger Hui implementing , split from traditional , tho 2nd generation ( ragged arrays as well as rectangular ) , APL to create the very mathy informed J , Arthur went a more transparent minimalist route with K . K.CoSy , http://cosy.com/K/CoSy.htm , was the perhaps the only notebook/IDE environment built w/i K's dictionary ( list of 2 lists : `( names values )` ) structure .
4th.CoSy has evolved from that , so is intrinsically a database language --tho tuned to my human size needs rather than the BigData APLs including K generally find as their market . CoSy's purpose is much more as my Tool of Thought to use Ken's Turing lecture title . It's evolved from the original notion of an APL workspace .

Participating in https://confengine.com/.../CoSy, evolved from APL via K in open Forth last spring made me appreciate just how much more integrated defining and using language is in CoSy than , so far as I have seen , any other language . It's all a reason why in the bit of script I posted yesterday , 14 one line verbs pretty much cover the vocabulary useful for conversion of .csv files to CoSy lists-of-lists -- and the inverse .
Similar vocabulary exists for conversion of HTML , XML and similar ` bracketing fornats . If they don't exist , they can be created with similar succinctness .
Many here can appreciate the quantum difference between written in and executing directly in open Forth rather than in C now and for the future . Sorry to have gone off in this tangent , but I've been needing to write a current view to support the implementation of a licensed supported level of CoSy at a price comparable to other APLs .
https://CoSy.com seeks to , and has been accused of , taking minimality , simplicity , to the extreme at every level from the chip to the math .

My goal is minimalism in the amount of code and thought it takes for me to get things done . That implies a large more human level vocabulary of small definitions . I hate FB's lack of a fixed font to display code & said that in a survey they recently sent me ( for all the impact it will have ) .
Anyway , here's my main vocabulary for converting csv's and similar structures .
The code is at http://cosy.com/4thCoSy/Code/CoSy/Furniture.f .

| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
| \/ | DictionaryTable > < .csv text | ~\/~\/~\/~\/~\/~\/~\/~\/~\/~\/~ |

| I've used the term , abbreviated ' DT , in K.CoSy with a rather substantial
| vocabulary . It is the fundamental form of a Kdb columnar data base .
| A DT is a Dictionary whose first item is a list of column labels and second is
| a corresponding set of correlated lists of values . This vocabulary converts
| back and forth between CoSy DTs and standard .CSV strings , the most
| universal format for bank ledger downloads . See 20171212 .
 
: csv>lst ( csv d0,d1 -- lst ) 2p> dsc VM dae R@ 1 _at ['] VM 'L 2P> ;
| Splits string first on d0 then each on d1 .
| Example |  t1  "nl "ht ,L  csv>lst
| see also 20180719
: lst>DT ( lst -- DT ) 1p> dsc R@ 1 _cut flip ,L 1P> ;
: csv>DT ( csv d0,d1 -- DT ) csv>lst lst>DT ;

| Splits each of list of strings on commas which are not in quotes
: ,svMsk >a> "msk 0=i a> ` , =c mini ;  | mask of commas not in quotes | 20200421 |
: ,sv>lst { >a> dup ,svMsk & 0cut ' dl, 'm a- } 'm  ;
 
| \/ | Example | \/ |
| s" C:/CoSy/acnts/y17/CHK.CSV" F> >T0> -2 _take c>i     |>| 13 10
|  read in and check if line delimiter is "lf or "cr "lf , ie: "nl
| which is generally the trailing element .  Win uses "nl . most others "lf
 
| T0 "nl "ht ,L csv>DT >T1     | splits on "nl then each on "ht
|  | Note the combining of the line and item delimiters by ' ,L
 
| And the inverse
: DT>lst  >a> dsc a> 1th { cL enc } 'd ; | redefined 20220926 | appends names back onto columns of values .
: lst>csv ( lst d0,d1 -- csv ) 2p> dsc ['] MV 'L R@ 1 _at MV 2P> ;
: DT>csv ( DT d1,d0 -- csv ) 2p> --aba dnames swap MV 2P> ;
 
|  | Note that the delimiters have to be reversed .
| T1 "nl "ht ,L reverse DT>csv
 
| related | 20191006 |
| executes lists of lines which produce lists , eg: ledger lists w lines like
|  (' 20190825.1322 _f ` lilBarn ` cash 200. _f  s" Nate " ') 
| and flips them into column form
: str>tbl ( strlst -- table ) dae ['] ^eval 'm flip ;

| splits lst of strs , eg: dirs , on white space | 20191009 | 20191019 |
: blTbl dup Type@ TypeC =if lfVM then { drb blVM } 'm flip ;

| /\ | DictionaryTable > < .csv text | \~/\~/\~/\~/\~/\~/\~/\~/\~/\~/\ |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |

Be warned that there is no “CSV standard”; there are dozens of “CSV standards” each with one or more aggravating hair-pulling modifications.

Simon Krix

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