Yes, there are a couple of newer features that were added after the documentation was written. Keeping documentation up to date is also a PITA.
> On 03 Oct 2015, at 08:54, stepharo <steph...@free.fr> wrote: > > sven do you think that we should add this to the chapter? > > > Le 28/9/15 16:42, Sven Van Caekenberghe a écrit : >>> On 28 Sep 2015, at 15:04, Mariano Martinez Peck <marianop...@gmail.com> >>> wrote: >>> >>> Imagine something like this: >>> >>> neoCSVReader := (NeoCSVReader on: stream). >>> neoCSVReader >>> separator: $,; >>> recordClass: PriceRecord; >>> addIgnoredField; "<name>" >>> addField: #securityUniqueId: ; "<ticker>" >>> addField: #date: converter: [ :string | Date readFrom: string >>> readStream pattern: 'yyyymmdd' ]; "<date>" >>> addFloatField: #open: ; "<open>" >>> addFloatField: #high: ; "<high>" >>> addFloatField: #low: ; "<low>" >>> addFloatField: #close: ; "<close>" >>> addIntegerField: #volume: . "<vol>" >>> neoCSVReader skipHeader. >>> priceRecords := neoCSVReader upToEnd. >>> >>> >>> The #recordClass: is optional. If not, you can get an array of arrays >>> instead. >>> You can add #addIgnoredField for all the ones you want to ignore, then add >>> the #addNumber: etc for the number ones, etc. >> Correct. >> >>> To write a default empty value, I would use my own converter. Something >>> like: >>> >>> addField: #stringcolumn: converter: [ :string | string isEmptyOrNil ifTrue: >>> [ '' ] ]; >>> addField: #numbercolumn: converter: [ :string | string isEmptyOrNil ifTrue: >>> [ 0 ] ifFalse: [ NeoNumberParser parse: string ] ]; >> Actually there is NeoCSVReader>>#emptyFieldValue: which you can use the >> configure the reader (but it counts for all fields). >> >>> Hope this helps. >>> >>> Cheers, >>> >>> >>> >>> On Mon, Sep 28, 2015 at 9:06 AM, Nicolai Hess <nicolaih...@web.de> wrote: >>> Hi, >>> >>> I have two problems I could not solve: >>> >>> 1. I would like to read only some columns: I have a large file with >>> ~30 colums, but I am only interested on ~5 columns >>> (not that important, I could pre-process the file) but anyway it would >>> be >>> nice to do it in smalltalk. >>> >>> 2. some columns will contain only strings (quoted values) and some only >>> numbers, >>> but the field may be empty, is it possible to define the default >>> "emptyValue" as an >>> - empty string for empty fields in the "string column" >>> - 0 for empty fields in the "number column"? >>> >>> >>> thanks >>> in advance >>> >>> nicolai >>> >>> >>> >>> -- >>> Mariano >>> http://marianopeck.wordpress.com >> >> > >
