Hello Sebastian, Thanks for detail.
The last call has the NPY_ARRAY_C_CONTIGUOUS and NPY_ARRAY_ALIGNED, thus I guess it can be no-op most of the time but for some unknown case it's may be safer ? Best regards On Tue, 2022-01-18 at 09:22 -0600, Sebastian Berg wrote: > On Tue, 2022-01-18 at 14:56 +0100, Benoit Gschwind wrote: > > Hello, > > > > I using the following code: > > > > if (PyArray_TYPE(arr1) == NPY_DATETIME) { > > // Ensure datetime64[ms] > > auto tmp = > > reinterpret_cast<PyArrayObject*>(PyObject_CallMethod(reinterpret_ca > > st > > <PyObject*>(arr1), "astype", "(s)", "datetime64[ms]")); > > std::swap(arr1, tmp); > > Py_XDECREF(tmp); > > // Ensure integer > > tmp = > > reinterpret_cast<PyArrayObject*>(PyObject_CallMethod(reinterpret_ca > > st > > <PyObject*>(arr1), "astype", "(s)", "i8")); > > std::swap(arr1, tmp); > > Py_XDECREF(tmp); > > tmp = > > reinterpret_cast<PyArrayObject*>(PyArray_FromArray(arr1, > > PyArray_DescrFromType(NPY_INT64), NPY_ARRAY_IN_ARRAY)); > > std::swap(arr1, tmp); > > Py_XDECREF(tmp); > > } > > > > First, if something is wrong with my code let me known. Then I > > wonder > > if I can have a safe shortcut to avoid converting datetime64 to i8. > > I > > guess the internal data of datetime64[ms] is i8 thus copying and > > casting the array may be avoided. > > Yes, you can assume datetime64 is stored as an i8 with the unit and > possible byteswapping. Both of which, your initial cast will ensure. > > The internal data is i8, except for the special NaT value. > > Code-wise, you can avoid calling `astype`, but if you do (also in > python), I suggest to pass `copy=False`, so that it does not copy if > it > clearly is not necessary (I am hoping to improve on the "clearly" > here > at some point). > > The last call again seems to be a no-op? Just the last call with the > correct `datetime64[ms]` descriptor could be enough. > > Cheers, > > Sebastian > > > > > > Thanks by advance > > Best regards. > > > > > > _______________________________________________ > > 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: sebast...@sipsolutions.net > > > > _______________________________________________ > 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: gschw...@gnu-log.net _______________________________________________ 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