On Tue, Jan 28, 2020 at 1:36 AM Athanassios I. Hatzis <[email protected]> wrote: > > On Mon, 2020-01-27 at 10:25 -0600, Wes McKinney wrote: > > >I asked to move this discussion here because we use the dev@ and user@ > > mailing list for discussions (this is explained in the GitHub issue > > template > > https://github.com/apache/arrow/blob/master/.github/ISSUE_TEMPLATE.md) > > Sure, I noticed this, but then I can hardly find any reason for opening an > issue at GitHub. As a > user I find a lot easier to open and track an issue for replies at GitHub > than registering and > searching in email lists and in my opinion it's a lot easier and far more > efficient for other users > too, especially newcomers, to search and find relevant answers. By the way > how am I supposed to > search, view this user list online from a Web explorer GUI like the one at > GitHub, is there a web > link ?
Here are the links https://lists.apache.org/[email protected] https://lists.apache.org/[email protected] We have the GitHub issues as a way to capture information from users who are not yet familiar with the project. > > > treated as a valid floating point value in algorithms like dictionary_encode > > Hi Wes, I was not aware that np.nan and None are not treated equivalently > thanks for illustrating > this with your Notebook. I can understand the logic behind this but it has > serious flaws that > originate from SQL, implementation of Codd's relational theory. > > This is one of the reasons that I am promoting Associative Semiotic > Hypergraph as an alternative > data model for processing data in queries. Associations (hyperedge set > connecting n data items) are > the equivalent of table records but null values are excluded. Therefore in my > system dictionary > should always be clean from missing values. Anyway as you suggest I need to > maintain some custom > code for this. > > There was also the following question in my email that was not answered. > > > I also noticed that there is NumPy integration and you can convert easily > > > from NumPy to Arrow > > > but > > > the reverse direction has several limitations. For example I cannot > > > create view for StringArray > > > (NotImplementedError: NumPy array view is only supported for primitive > > > types). But string() > > > (utf8) > > > is in the list of your primitive types. Any plans for supporting this > > > type with NumPy soon ? > > Could you please suggest or point to a piece of code on how to convert > arrow.StringArray to numpy > for further processing ? Do I have to forget the view with the to_numpy() > method and make a copy in > order to process it, modify it in NumPy ? > > > Thank you for your time > > Athan > > >
