I do not like the idea of using a dot in class names because dot is already
used to separate expressions in a sequence. I am pretty sure that using dot
may introduce several ambiguities in the parsing process. For example, the
following with the current parser will produce the same AST:
someMethod
There are two uses for namespacing:
1. Avoiding class name collisions between different packages
2. Modularization
I don't have the use cases for 2, but Torsten had an idea to support
the dot in the class name, that'd solve the problem 1. (e.g.
Chronology.Date and YourPackage.Date).
Esteban A. Ma
Yes, Paul, I was about to write the same thing.
> On 22 Dec 2019, at 18:44, Paul DeBruicker wrote:
>
> Is there a header row? IF so you can do:
>
> csv := (NeoCSVReader on: stream) separator: Character tab.
> header:= csv readHeader.
> header size timesRepeat:[csv addFloatField].
> csv upToEnd
Is there a header row? IF so you can do:
csv := (NeoCSVReader on: stream) separator: Character tab.
header:= csv readHeader.
header size timesRepeat:[csv addFloatField].
csv upToEnd inspect
HilaireFernandes wrote
> The data come from sensors in 60, 600 and 6000 fields.
>
> I can do has belo
Merci Cedrick.
Looks nice. I heard a bit about on Serge's presentation on polymath.
Can you do analysis like prediction with?
Joyeuses fêtes également
Le 22/12/2019 à 17:11, Cédrick Béler a écrit :
> I think data frame is better for such case
>
> https://github.com/PolyMathOrg/DataFrame
--
Dr
The data come from sensors in 60, 600 and 6000 fields.
I can do has below but I need to know first the number of fields. But
it's ok.
csv := (NeoCSVReader on: stream) separator: Character tab.
60 timesRepeat: [ csv addFloatField].
csv upToEnd inspect.
Le 22/12/2019 à 17:34, Sven Van Caekenberghe
Hi Hilaire,
Maybe I don't understand your question, but reading floats with NeoCSV is quite
elementary:
data := '10.5,-7.5\10.4,-7.4\10.3,-7.3\10.2,-7.2\10.1,-7.1' withCRs.
(NeoCSVReader on: data readStream)
addFloatField;
addFloatField;
upToEnd.
"#(#(10.5 -7.5) #(10.4 -7.4) #(10.3 -7.3)
Hi Hilaire,
I think data frame is better for such case
https://github.com/PolyMathOrg/DataFrame
Cheers,
Cedrick et bonne fêtes ;)
> Le 22 déc. 2019 à 17:04, Hilaire a écrit :
>
> Hi,
>
> I have float number datas coming with 60, 600 and 6000 rows.
>
> Is there a convenient way to let Ne
Hi,
I have float number datas coming with 60, 600 and 6000 rows.
Is there a convenient way to let NeoCSV load and convert to array of floats.
So far, I am doing it by "hand" with stream?
Thanks
Hilaire
--
Dr. Geo
http://drgeo.eu
What is the modern state of namespaces support? Maybe in Pharo 8 (or 9)
I'm going to model some generic async Smalltalk in Pharo, package-bounded
namespaces can save me from prefixing every class name.
--
Sent from: http://forum.world.st/Pharo-Smalltalk-Users-f1310670.html
10 matches
Mail list logo
