2025/03/13

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2025-03-13 14:55:07 +0100 <kuribas> it's just a timeseries.
2025-03-13 14:55:00 +0100 <kuribas> comerijn: 1
2025-03-13 14:53:54 +0100 <comerijn> Because if the answers is >1 then you need to worry about row vs column major for numpy
2025-03-13 14:53:12 +0100 <comerijn> kuribas: What dimensionality for the array?
2025-03-13 14:52:59 +0100 <comerijn> Evil voice: Just dump out a Storabel Vector ;)
2025-03-13 14:52:06 +0100 <kuribas> right
2025-03-13 14:51:54 +0100 <dminuoso> Unstructured, but perhaps suitable
2025-03-13 14:51:46 +0100 <dminuoso> Which is a very dense and high performance encoding
2025-03-13 14:51:33 +0100 <dminuoso> Python library exists too.
2025-03-13 14:51:28 +0100 <dminuoso> https://hackage.haskell.org/package/msgpack
2025-03-13 14:51:24 +0100 <kuribas> oh, numpy.frombuffer, then I just need to emit the right format.
2025-03-13 14:51:12 +0100 <dminuoso> kuribas: You could also just use msgpack.
2025-03-13 14:50:40 +0100 <kuribas> I'd like to read it into python as a numpy array.
2025-03-13 14:50:24 +0100 <dminuoso> Indeed.
2025-03-13 14:50:11 +0100 <kuribas> I don't even need CSV.
2025-03-13 14:50:00 +0100 <kuribas> Right, I could just use "binary" to emit a blob...
2025-03-13 14:49:45 +0100sabathan(~sabathan@amarseille-159-1-12-107.w86-203.abo.wanadoo.fr)
2025-03-13 14:49:27 +0100 <dminuoso> (Only compression will make it more compact)
2025-03-13 14:49:10 +0100 <dminuoso> The denses way to pack IEE754 is to just dump the representation.
2025-03-13 14:49:06 +0100 <kuribas> I could also base64 encode a binary blob.
2025-03-13 14:48:48 +0100 <dminuoso> You just need to ensure its properly quoted, then it does not even matter whats inside the quotes as long as the other side can parse it.
2025-03-13 14:48:43 +0100 <kuribas> I mean that CSV is not dense by default...
2025-03-13 14:48:18 +0100 <dminuoso> kuribas: What do you mean by "is that a thing"?
2025-03-13 14:47:57 +0100 <kuribas> or timestmaps and integers
2025-03-13 14:47:52 +0100 <kuribas> It's timestamp and floats
2025-03-13 14:47:44 +0100 <dminuoso> i.e. if its floats, just emit their IEEE754 representation
2025-03-13 14:47:43 +0100 <kuribas> Is that a thing?
2025-03-13 14:47:14 +0100 <dminuoso> Why not CSV, but with dense representation?
2025-03-13 14:46:01 +0100sabathan(~sabathan@amarseille-159-1-12-107.w86-203.abo.wanadoo.fr) (Read error: Connection reset by peer)
2025-03-13 14:42:55 +0100 <kuribas> I could export csv, but it'd be nicer to have something compact.
2025-03-13 14:42:40 +0100 <kuribas> Is there a library to export numerical data that can be read in python, preferably compressed?
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