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CLN: Add missing types to tslib.pyx #23966

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Merged
merged 2 commits into from
Nov 28, 2018
Merged

CLN: Add missing types to tslib.pyx #23966

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99fda42
CLN: Add more cdefs for tslib.pyx
Nov 27, 2018
a724a84
Merge remote-tracking branch 'upstream/master' into more_cdef_types
Nov 27, 2018
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25 changes: 15 additions & 10 deletions pandas/_libs/tslib.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,8 @@ cdef inline object create_time_from_ts(

@cython.wraparound(False)
@cython.boundscheck(False)
def ints_to_pydatetime(int64_t[:] arr, tz=None, freq=None, box="datetime"):
def ints_to_pydatetime(int64_t[:] arr, object tz=None, object freq=None,
str box="datetime"):
"""
Convert an i8 repr to an ndarray of datetimes, date, time or Timestamp

Expand Down Expand Up @@ -104,8 +105,9 @@ def ints_to_pydatetime(int64_t[:] arr, tz=None, freq=None, box="datetime"):
int64_t[:] deltas
Py_ssize_t pos
npy_datetimestruct dts
object dt
int64_t value, delta
object dt, new_tz
str typ
int64_t value, delta, local_value
ndarray[object] result = np.empty(n, dtype=object)
object (*func_create)(int64_t, npy_datetimestruct, object, object)

Expand Down Expand Up @@ -303,7 +305,8 @@ def format_array_from_datetime(ndarray[int64_t] values, object tz=None,
return result


def array_with_unit_to_datetime(ndarray values, unit, errors='coerce'):
def array_with_unit_to_datetime(ndarray values, object unit,
str errors='coerce'):
"""
convert the ndarray according to the unit
if errors:
Expand Down Expand Up @@ -458,10 +461,10 @@ def array_with_unit_to_datetime(ndarray values, unit, errors='coerce'):

@cython.wraparound(False)
@cython.boundscheck(False)
cpdef array_to_datetime(ndarray[object] values, errors='raise',
dayfirst=False, yearfirst=False,
format=None, utc=None,
require_iso8601=False):
cpdef array_to_datetime(ndarray[object] values, str errors='raise',
bint dayfirst=False, bint yearfirst=False,
object format=None, object utc=None,
bint require_iso8601=False):
"""
Converts a 1D array of date-like values to a numpy array of either:
1) datetime64[ns] data
Expand Down Expand Up @@ -510,9 +513,11 @@ cpdef array_to_datetime(ndarray[object] values, errors='raise',
bint is_raise = errors=='raise'
bint is_ignore = errors=='ignore'
bint is_coerce = errors=='coerce'
bint is_same_offsets
_TSObject _ts
int64_t value
int out_local=0, out_tzoffset=0
float offset_seconds
float offset_seconds, tz_offset
set out_tzoffset_vals = set()

# specify error conditions
Expand Down Expand Up @@ -764,7 +769,7 @@ cpdef array_to_datetime(ndarray[object] values, errors='raise',
@cython.wraparound(False)
@cython.boundscheck(False)
cdef array_to_datetime_object(ndarray[object] values, bint is_raise,
dayfirst=False, yearfirst=False):
bint dayfirst=False, bint yearfirst=False):
"""
Fall back function for array_to_datetime

Expand Down