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  • PyKX 1.6 released

    Posted by rocuinneagain on June 19, 2023 at 12:00 am

    PyKX 1.6 has been released

    These release notes are also available on the documentation site:

    https://code.kx.com/pykx/1.6/changelog.html

    Additions

    • Added merge_asof to the Pandas like API.
      • See here for details of supported keyword arguments and limitations.
    • Added set_index to the Pandas like API.
      • See here for details of supported keyword arguments and limitations.
    • Added a set of basic computation methods operating on tabular data to the Pandas like API. See here for available methods and examples.
    • pykx.util.debug_environment added to help with import errors.
    • q vector type promotion in licensed mode.
    • Added .pykx.toraw to pykx.q to enable raw conversions (e.g. kx.toq(x, raw=True))
    • Added support for Python 3.11.
      • Support for pyarrow in this python version is currently in Beta.
    • Added the ability to use kx.RawQConnection as a Python based q server using kx.RawQConnection(port=x, as_server=True).
      • More documentation around using this functionality can be found here.

    Fixes and Improvements

    • Improved error on Windows if msvcr100.dll is not found
    • Updated q libraries to 2023.04.17
    • Fixed an issue that caused q functions that shared a name with python key words to be inaccessible using the context interface.
      • It is now possible to access any q function that uses a python keyword as its name by adding an underscore to the name (e.g. except can now be accessed using q.except_).
    • Fixed an issue with .pykx.get and .pykx.getattr not raising errors correctly.
    • Fixed an issue where deserializing data would sometimes not error correctly.
    • Users can now add new column(s) to an in-memory table using assignment when using the Pandas like API.
      >>> import os >>> os.environ['PYKX_ENABLE_PANDAS_API'] = 'true' >>> import pykx as kx >>> import numpy as np >>> tab = kx.q('([]100?1f;100?1f)') >>> tab['x2'] = np.arange(0, 100) >>> tab pykx.Table(pykx.q(' x           x1         x2 ------------------------- 0.1485357   0.1780839  0  0.4857547   0.3017723  1  0.7123602   0.785033   2  0.3839461   0.5347096  3  0.3407215   0.7111716  4  0.05400102  0.411597   5  .. '))
    rocuinneagain replied 9 months, 1 week ago 2 Members · 0 Replies
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