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BLD: fix build warnings in tslib by casting explicitly to object #26758

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Merged
merged 2 commits into from
Jun 10, 2019
Merged

BLD: fix build warnings in tslib by casting explicitly to object #26758

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3fe0063
BLD: fix build warnings in tslib by casting explicitly to object
jbrockmendel Jun 10, 2019
f99e8cb
BLD: fix casting warning in timedeltas
jbrockmendel Jun 10, 2019
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18 changes: 9 additions & 9 deletions pandas/_libs/tslib.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -127,15 +127,15 @@ def ints_to_pydatetime(int64_t[:] arr, object tz=None, object freq=None,
for i in range(n):
value = arr[i]
if value == NPY_NAT:
result[i] = NaT
result[i] = <object>NaT
else:
dt64_to_dtstruct(value, &dts)
result[i] = func_create(value, dts, tz, freq)
elif is_tzlocal(tz):
for i in range(n):
value = arr[i]
if value == NPY_NAT:
result[i] = NaT
result[i] = <object>NaT
else:
# Python datetime objects do not support nanosecond
# resolution (yet, PEP 564). Need to compute new value
Expand All @@ -152,7 +152,7 @@ def ints_to_pydatetime(int64_t[:] arr, object tz=None, object freq=None,
for i in range(n):
value = arr[i]
if value == NPY_NAT:
result[i] = NaT
result[i] = <object>NaT
else:
# Adjust datetime64 timestamp, recompute datetimestruct
dt64_to_dtstruct(value + delta, &dts)
Expand All @@ -164,7 +164,7 @@ def ints_to_pydatetime(int64_t[:] arr, object tz=None, object freq=None,
for i in range(n):
value = arr[i]
if value == NPY_NAT:
result[i] = NaT
result[i] = <object>NaT
else:
# Adjust datetime64 timestamp, recompute datetimestruct
pos = trans.searchsorted(value, side='right') - 1
Expand All @@ -175,7 +175,7 @@ def ints_to_pydatetime(int64_t[:] arr, object tz=None, object freq=None,
for i in range(n):
value = arr[i]
if value == NPY_NAT:
result[i] = NaT
result[i] = <object>NaT
else:
# Adjust datetime64 timestamp, recompute datetimestruct
pos = trans.searchsorted(value, side='right') - 1
Expand Down Expand Up @@ -439,11 +439,11 @@ def array_with_unit_to_datetime(ndarray values, object unit,
val = values[i]

if checknull_with_nat(val):
oresult[i] = NaT
oresult[i] = <object>NaT
elif is_integer_object(val) or is_float_object(val):

if val != val or val == NPY_NAT:
oresult[i] = NaT
oresult[i] = <object>NaT
else:
try:
oresult[i] = Timestamp(cast_from_unit(val, unit))
Expand All @@ -452,7 +452,7 @@ def array_with_unit_to_datetime(ndarray values, object unit,

elif isinstance(val, str):
if len(val) == 0 or val in nat_strings:
oresult[i] = NaT
oresult[i] = <object>NaT

else:
oresult[i] = val
Expand Down Expand Up @@ -816,7 +816,7 @@ cdef array_to_datetime_object(ndarray[object] values, str errors,
check_dts_bounds(&dts)
except (ValueError, OverflowError):
if is_coerce:
oresult[i] = NaT
oresult[i] = <object>NaT
continue
if is_raise:
raise
Expand Down
2 changes: 1 addition & 1 deletion pandas/_libs/tslibs/timedeltas.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -117,7 +117,7 @@ def ints_to_pytimedelta(int64_t[:] arr, box=False):

value = arr[i]
if value == NPY_NAT:
result[i] = NaT
result[i] = <object>NaT
else:
if box:
result[i] = Timedelta(value)
Expand Down