Python pandas.errors.OutOfBoundsDatetime() Examples
The following are 30
code examples of pandas.errors.OutOfBoundsDatetime().
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Example #1
| Source File: test_tools.py From coffeegrindsize with MIT License | 6 votes |
|
def test_datetime_outofbounds_scalar(self, value, format, infer):
# GH24763
res = pd.to_datetime(value, errors='ignore', format=format,
infer_datetime_format=infer)
assert res == value
res = pd.to_datetime(value, errors='coerce', format=format,
infer_datetime_format=infer)
assert res is pd.NaT
if format is not None:
with pytest.raises(ValueError):
pd.to_datetime(value, errors='raise', format=format,
infer_datetime_format=infer)
else:
with pytest.raises(OutOfBoundsDatetime):
pd.to_datetime(value, errors='raise', format=format,
infer_datetime_format=infer)
Example #2
| Source File: test_tools.py From recruit with Apache License 2.0 | 6 votes |
|
def test_datetime_outofbounds_scalar(self, value, format, infer):
# GH24763
res = pd.to_datetime(value, errors='ignore', format=format,
infer_datetime_format=infer)
assert res == value
res = pd.to_datetime(value, errors='coerce', format=format,
infer_datetime_format=infer)
assert res is pd.NaT
if format is not None:
with pytest.raises(ValueError):
pd.to_datetime(value, errors='raise', format=format,
infer_datetime_format=infer)
else:
with pytest.raises(OutOfBoundsDatetime):
pd.to_datetime(value, errors='raise', format=format,
infer_datetime_format=infer)
Example #3
| Source File: test_tools.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def test_datetime_outofbounds_scalar(self, value, format, infer):
# GH24763
res = pd.to_datetime(value, errors='ignore', format=format,
infer_datetime_format=infer)
assert res == value
res = pd.to_datetime(value, errors='coerce', format=format,
infer_datetime_format=infer)
assert res is pd.NaT
if format is not None:
with pytest.raises(ValueError):
pd.to_datetime(value, errors='raise', format=format,
infer_datetime_format=infer)
else:
with pytest.raises(OutOfBoundsDatetime):
pd.to_datetime(value, errors='raise', format=format,
infer_datetime_format=infer)
Example #4
| Source File: test_errors.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_catch_oob():
from pandas import errors
try:
pd.Timestamp('15000101')
except errors.OutOfBoundsDatetime:
pass
Example #5
| Source File: test_tools.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_to_datetime_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
arr = np.array(['2262-04-11 23:47:16.854775808'], dtype=object)
with pytest.raises(OutOfBoundsDatetime):
to_datetime(arr)
Example #6
| Source File: test_date_range.py From coffeegrindsize with MIT License | 5 votes |
|
def test_date_range_int64_overflow_non_recoverable(self):
# GH#24255
# case with start later than 1970-01-01, overflow int64 but not uint64
msg = "Cannot generate range with"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(start='1970-02-01', periods=106752 * 24, freq='H')
# case with end before 1970-01-01, overflow int64 but not uint64
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(end='1969-11-14', periods=106752 * 24, freq='H')
Example #7
| Source File: test_date_range.py From coffeegrindsize with MIT License | 5 votes |
|
def test_date_range_multiplication_overflow(self):
# GH#24255
# check that overflows in calculating `addend = periods * stride`
# are caught
with tm.assert_produces_warning(None):
# we should _not_ be seeing a overflow RuntimeWarning
dti = date_range(start='1677-09-22', periods=213503, freq='D')
assert dti[0] == Timestamp('1677-09-22')
assert len(dti) == 213503
msg = "Cannot generate range with"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range('1969-05-04', periods=200000000, freq='30000D')
Example #8
| Source File: test_tools.py From coffeegrindsize with MIT License | 5 votes |
|
def test_to_datetime_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
arr = np.array(['2262-04-11 23:47:16.854775808'], dtype=object)
with pytest.raises(OutOfBoundsDatetime):
to_datetime(arr)
Example #9
| Source File: test_date_range.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_date_range_multiplication_overflow(self):
# GH#24255
# check that overflows in calculating `addend = periods * stride`
# are caught
with tm.assert_produces_warning(None):
# we should _not_ be seeing a overflow RuntimeWarning
dti = date_range(start='1677-09-22', periods=213503, freq='D')
assert dti[0] == Timestamp('1677-09-22')
assert len(dti) == 213503
msg = "Cannot generate range with"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range('1969-05-04', periods=200000000, freq='30000D')
Example #10
| Source File: test_errors.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_catch_oob():
from pandas import errors
try:
pd.Timestamp('15000101')
except errors.OutOfBoundsDatetime:
pass
Example #11
| Source File: test_asfreq.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_to_timestamp_out_of_bounds(self):
# GH#19643, currently gives Timestamp('1754-08-30 22:43:41.128654848')
per = Period('0001-01-01', freq='B')
with pytest.raises(OutOfBoundsDatetime):
per.to_timestamp()
Example #12
| Source File: test_timestamp.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
with pytest.raises(OutOfBoundsDatetime):
Timestamp('2262-04-11 23:47:16.854775808')
Example #13
| Source File: test_timezones.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_tz_localize_pushes_out_of_bounds(self):
# GH#12677
# tz_localize that pushes away from the boundary is OK
pac = Timestamp.min.tz_localize('US/Pacific')
assert pac.value > Timestamp.min.value
pac.tz_convert('Asia/Tokyo') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.min.tz_localize('Asia/Tokyo')
# tz_localize that pushes away from the boundary is OK
tokyo = Timestamp.max.tz_localize('Asia/Tokyo')
assert tokyo.value < Timestamp.max.value
tokyo.tz_convert('US/Pacific') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.max.tz_localize('US/Pacific')
Example #14
| Source File: test_errors.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_catch_oob():
from pandas import errors
try:
pd.Timestamp('15000101')
except errors.OutOfBoundsDatetime:
pass
Example #15
| Source File: test_timezones.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_tz_localize_pushes_out_of_bounds(self):
# GH#12677
# tz_localize that pushes away from the boundary is OK
pac = Timestamp.min.tz_localize('US/Pacific')
assert pac.value > Timestamp.min.value
pac.tz_convert('Asia/Tokyo') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.min.tz_localize('Asia/Tokyo')
# tz_localize that pushes away from the boundary is OK
tokyo = Timestamp.max.tz_localize('Asia/Tokyo')
assert tokyo.value < Timestamp.max.value
tokyo.tz_convert('US/Pacific') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.max.tz_localize('US/Pacific')
Example #16
| Source File: test_date_range.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_date_range_int64_overflow_non_recoverable(self):
# GH#24255
# case with start later than 1970-01-01, overflow int64 but not uint64
msg = "Cannot generate range with"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(start='1970-02-01', periods=106752 * 24, freq='H')
# case with end before 1970-01-01, overflow int64 but not uint64
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(end='1969-11-14', periods=106752 * 24, freq='H')
Example #17
| Source File: test_timestamp.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
with pytest.raises(OutOfBoundsDatetime):
Timestamp('2262-04-11 23:47:16.854775808')
Example #18
| Source File: test_timestamp.py From vnpy_crypto with MIT License | 5 votes |
|
def test_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
with pytest.raises(OutOfBoundsDatetime):
Timestamp('2262-04-11 23:47:16.854775808')
Example #19
| Source File: test_timezones.py From vnpy_crypto with MIT License | 5 votes |
|
def test_tz_localize_pushes_out_of_bounds(self):
# GH#12677
# tz_localize that pushes away from the boundary is OK
pac = Timestamp.min.tz_localize('US/Pacific')
assert pac.value > Timestamp.min.value
pac.tz_convert('Asia/Tokyo') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.min.tz_localize('Asia/Tokyo')
# tz_localize that pushes away from the boundary is OK
tokyo = Timestamp.max.tz_localize('Asia/Tokyo')
assert tokyo.value < Timestamp.max.value
tokyo.tz_convert('US/Pacific') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.max.tz_localize('US/Pacific')
Example #20
| Source File: test_errors.py From vnpy_crypto with MIT License | 5 votes |
|
def test_catch_oob():
from pandas import errors
try:
pd.Timestamp('15000101')
except errors.OutOfBoundsDatetime:
pass
Example #21
| Source File: test_tools.py From vnpy_crypto with MIT License | 5 votes |
|
def test_to_datetime_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
arr = np.array(['2262-04-11 23:47:16.854775808'], dtype=object)
with pytest.raises(OutOfBoundsDatetime):
to_datetime(arr)
Example #22
| Source File: test_tools.py From recruit with Apache License 2.0 | 5 votes |
|
def test_to_datetime_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
arr = np.array(['2262-04-11 23:47:16.854775808'], dtype=object)
with pytest.raises(OutOfBoundsDatetime):
to_datetime(arr)
Example #23
| Source File: test_asfreq.py From recruit with Apache License 2.0 | 5 votes |
|
def test_to_timestamp_out_of_bounds(self):
# GH#19643, currently gives Timestamp('1754-08-30 22:43:41.128654848')
per = Period('0001-01-01', freq='B')
with pytest.raises(OutOfBoundsDatetime):
per.to_timestamp()
Example #24
| Source File: test_tools.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_to_datetime_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
arr = np.array(['2262-04-11 23:47:16.854775808'], dtype=object)
with pytest.raises(OutOfBoundsDatetime):
to_datetime(arr)
Example #25
| Source File: test_timestamp.py From recruit with Apache License 2.0 | 5 votes |
|
def test_barely_out_of_bounds(self):
# GH#19529
# GH#19382 close enough to bounds that dropping nanos would result
# in an in-bounds datetime
with pytest.raises(OutOfBoundsDatetime):
Timestamp('2262-04-11 23:47:16.854775808')
Example #26
| Source File: test_timezones.py From recruit with Apache License 2.0 | 5 votes |
|
def test_tz_localize_pushes_out_of_bounds(self):
# GH#12677
# tz_localize that pushes away from the boundary is OK
pac = Timestamp.min.tz_localize('US/Pacific')
assert pac.value > Timestamp.min.value
pac.tz_convert('Asia/Tokyo') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.min.tz_localize('Asia/Tokyo')
# tz_localize that pushes away from the boundary is OK
tokyo = Timestamp.max.tz_localize('Asia/Tokyo')
assert tokyo.value < Timestamp.max.value
tokyo.tz_convert('US/Pacific') # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.max.tz_localize('US/Pacific')
Example #27
| Source File: test_errors.py From recruit with Apache License 2.0 | 5 votes |
|
def test_catch_oob():
from pandas import errors
try:
pd.Timestamp('15000101')
except errors.OutOfBoundsDatetime:
pass
Example #28
| Source File: test_date_range.py From recruit with Apache License 2.0 | 5 votes |
|
def test_date_range_multiplication_overflow(self):
# GH#24255
# check that overflows in calculating `addend = periods * stride`
# are caught
with tm.assert_produces_warning(None):
# we should _not_ be seeing a overflow RuntimeWarning
dti = date_range(start='1677-09-22', periods=213503, freq='D')
assert dti[0] == Timestamp('1677-09-22')
assert len(dti) == 213503
msg = "Cannot generate range with"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range('1969-05-04', periods=200000000, freq='30000D')
Example #29
| Source File: test_date_range.py From recruit with Apache License 2.0 | 5 votes |
|
def test_date_range_int64_overflow_non_recoverable(self):
# GH#24255
# case with start later than 1970-01-01, overflow int64 but not uint64
msg = "Cannot generate range with"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(start='1970-02-01', periods=106752 * 24, freq='H')
# case with end before 1970-01-01, overflow int64 but not uint64
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(end='1969-11-14', periods=106752 * 24, freq='H')
Example #30
| Source File: test_tools.py From coffeegrindsize with MIT License | 4 votes |
|
def test_unit(self, cache):
# GH 11758
# test proper behavior with erros
with pytest.raises(ValueError):
to_datetime([1], unit='D', format='%Y%m%d', cache=cache)
values = [11111111, 1, 1.0, iNaT, NaT, np.nan,
'NaT', '']
result = to_datetime(values, unit='D', errors='ignore', cache=cache)
expected = Index([11111111, Timestamp('1970-01-02'),
Timestamp('1970-01-02'), NaT,
NaT, NaT, NaT, NaT],
dtype=object)
tm.assert_index_equal(result, expected)
result = to_datetime(values, unit='D', errors='coerce', cache=cache)
expected = DatetimeIndex(['NaT', '1970-01-02', '1970-01-02',
'NaT', 'NaT', 'NaT', 'NaT', 'NaT'])
tm.assert_index_equal(result, expected)
with pytest.raises(tslib.OutOfBoundsDatetime):
to_datetime(values, unit='D', errors='raise', cache=cache)
values = [1420043460000, iNaT, NaT, np.nan, 'NaT']
result = to_datetime(values, errors='ignore', unit='s', cache=cache)
expected = Index([1420043460000, NaT, NaT,
NaT, NaT], dtype=object)
tm.assert_index_equal(result, expected)
result = to_datetime(values, errors='coerce', unit='s', cache=cache)
expected = DatetimeIndex(['NaT', 'NaT', 'NaT', 'NaT', 'NaT'])
tm.assert_index_equal(result, expected)
with pytest.raises(tslib.OutOfBoundsDatetime):
to_datetime(values, errors='raise', unit='s', cache=cache)
# if we have a string, then we raise a ValueError
# and NOT an OutOfBoundsDatetime
for val in ['foo', Timestamp('20130101')]:
try:
to_datetime(val, errors='raise', unit='s', cache=cache)
except tslib.OutOfBoundsDatetime:
raise AssertionError("incorrect exception raised")
except ValueError:
pass
