Thanks Ralf, This answers my question about the absence of I/O Numpy format.
There are three other points related to this format proposal: - integration of a semantic level above the number / character formats as for datetime (e.g. units, point / polygon, URI, email, IP, encoding...), - neutral format (platform independent) for multidimensional data including multi-variables, axes, indexes and metadata, - finally the conversion of tabular data into multi-dimensional data (dimension greater than 2) via a neutral format. Do these points interest Numpy or would this rather concern applications built on a Numpy base? _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
