10000 BUG #34621 added nanosecond support to class Period by OlivierLuG · Pull Request #34720 · pandas-dev/pandas · GitHub
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BUG #34621 added nanosecond support to class Period #34720

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BUG #34621 added nanosecond support to class Period #34720

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91a7c7e
BUG #34621 added nanosecond support to class Period
Jun 11, 2020
73a6eab
BUG #34621 added tests
Jun 12, 2020
ea9f69c
BUG #34621 added tests (black pandas passed)
Jun 12, 2020
ab5640f
#34131 fix one test failure
Jun 13, 2020
95d740e
#34621 review taken into account
Jun 15, 2020
abb0936
#34621 review taken into account, and suppress a bad copy/paste on li…
Jun 15, 2020
8a559cb
#34621 Added nanosecond support to Period constructor
Jun 16, 2020
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#34621 Added nanosecond support to Period constructor
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OlivierLuG committed Jun 16, 2020
commit 8a559cb07f2c731b0ab83fe08ccc20c59b5157b9
6 changes: 3 additions & 3 deletions pandas/_libs/tslibs/period.pyx
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Expand Up @@ -32,7 +32,6 @@ from pandas._libs.tslibs.np_datetime cimport (
NPY_FR_D,
NPY_FR_us,
)
from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime

cdef extern from "src/datetime/np_datetime.h":
int64_t npy_datetimestruct_to_datetime(NPY_DATETIMEUNIT fr,
Expand Down Expand Up @@ -2408,11 +2407,12 @@ class Period(_Period):
dt, reso = parse_time_string(value, freq)
try:
ts = Timestamp(value)
except ValueError:
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we end up parsing this twice which is not good, yeah i think this needs to be integrated a bit more to parse_time_string.

i guess the currently soln would be ok in the interim, but would need to run asv's on all periods to see what kind of perf hit here.

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As far I read, nanosecond was not accepted into dateutil module. This interim solution could stand for a while.
I stay tuned...

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As far I read, nanosecond was not accepted into dateutil module. This interim solution could stand for a while.
I stay tuned...

we don't wait for dateutil in this, as it will not likey every support nanosecond because the standard library does not

nanosecond = 0
else:
nanosecond = ts.nanosecond
if nanosecond != 0:
reso = 'nanosecond'
except ValueError:
nanosecond = 0
if dt is NaT:
ordinal = NPY_NAT

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