Python numpy.isnat() Examples
The following are 30
code examples of numpy.isnat().
You can vote up the ones you like or vote down the ones you don't like,
and go to the original project or source file by following the links above each example.
You may also want to check out all available functions/classes of the module
numpy
, or try the search function
.
.
Example #1
| Source File: test_datetime.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #2
| Source File: test_datetime.py From Mastering-Elasticsearch-7.0 with MIT License | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #3
| Source File: test_datetime.py From mxnet-lambda with Apache License 2.0 | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #4
| Source File: test_datetime.py From vnpy_crypto with MIT License | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #5
| Source File: api.py From sdc with BSD 2-Clause "Simplified" License | 6 votes |
|
def isna_overload(arr, i):
if arr == string_array_type:
return lambda arr, i: sdc.str_arr_ext.str_arr_is_na(arr, i)
# TODO: support NaN in list(list(str))
if arr == list_string_array_type:
return lambda arr, i: False
# TODO: extend to other types
assert isinstance(arr, types.Array) or isinstance(arr, types.List)
dtype = arr.dtype
if isinstance(dtype, types.Float):
return lambda arr, i: np.isnan(arr[i])
# NaT for dt64
if isinstance(dtype, (types.NPDatetime, types.NPTimedelta)):
nat = dtype('NaT')
# TODO: replace with np.isnat
return lambda arr, i: arr[i] == nat
# XXX integers don't have nans, extend to boolean
return lambda arr, i: False
Example #6
| Source File: util.py From holoviews with BSD 3-Clause "New" or "Revised" License | 6 votes |
|
def isnat(val):
"""
Checks if the value is a NaT. Should only be called on datetimelike objects.
"""
if (isinstance(val, (np.datetime64, np.timedelta64)) or
(isinstance(val, np.ndarray) and val.dtype.kind == 'M')):
if numpy_version >= '1.13':
return np.isnat(val)
else:
return val.view('i8') == nat_as_integer
elif pd and val is pd.NaT:
return True
elif pd and isinstance(val, pandas_datetime_types+pandas_timedelta_types):
return pd.isna(val)
else:
return False
Example #7
| Source File: test_datetime.py From GraphicDesignPatternByPython with MIT License | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #8
| Source File: _utils.py From dexplo with BSD 3-Clause "New" or "Revised" License | 6 votes |
|
def get_datetime_str(arr: ndarray):
dt = {0: 'ns', 1: 'us', 2: 'ms', 3: 's', 4: 'D'}
arr = arr[~np.isnat(arr)].view('int64')
counts = np.zeros(len(arr), dtype='int64')
for i, val in enumerate(arr):
if val == 0:
counts[i] = 4
continue
dec = decimal.Decimal(int(val)).as_tuple()
ct = 0
for digit in dec.digits[::-1]:
if digit == 0:
ct += 1
else:
break
if ct >= 11:
counts[i] = 4
else:
counts[i] = ct // 3
return dt[counts.min()]
Example #9
| Source File: test_seviri_l1b_hrit.py From satpy with GNU General Public License v3.0 | 6 votes |
|
def test_get_timestamps(self):
"""Test getting the timestamps."""
tline = self.reader._get_timestamps()
# First and last scanline have invalid timestamps (space)
self.assertTrue(np.isnat(tline[0]))
self.assertTrue(np.isnat(tline[-1]))
# Test remaining lines
year = tline.astype('datetime64[Y]').astype(int) + 1970
month = tline.astype('datetime64[M]').astype(int) % 12 + 1
day = (tline.astype('datetime64[D]') - tline.astype('datetime64[M]') + 1).astype(int)
msec = (tline - tline.astype('datetime64[D]')).astype(int)
self.assertTrue(np.all(year[1:-1] == 2016))
self.assertTrue(np.all(month[1:-1] == 3))
self.assertTrue(np.all(day[1:-1] == 3))
self.assertTrue(np.all(msec[1:-1] == np.arange(len(tline) - 2)))
Example #10
| Source File: test_datetime.py From recruit with Apache License 2.0 | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #11
| Source File: test_datetime.py From coffeegrindsize with MIT License | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #12
| Source File: test_datetime.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #13
| Source File: formats.py From Carnets with BSD 3-Clause "New" or "Revised" License | 6 votes |
|
def set_jds(self, val1, val2):
# If there are any masked values in the ``val1`` datetime64 array
# ('NaT') then stub them with a valid date so downstream parse_string
# will work. The value under the mask is arbitrary but a "modern" date
# is good.
mask = np.isnat(val1)
masked = np.any(mask)
if masked:
val1 = val1.copy()
val1[mask] = '2000'
# Make sure M(onth) and Y(ear) dates will parse and convert to bytestring
if val1.dtype.name in ['datetime64[M]', 'datetime64[Y]']:
val1 = val1.astype('datetime64[D]')
val1 = val1.astype('S')
# Standard ISO string parsing now
super().set_jds(val1, val2)
# Finally apply mask if necessary
if masked:
self.jd2[mask] = np.nan
Example #14
| Source File: test_datetime.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #15
| Source File: test_datetime.py From twitter-stock-recommendation with MIT License | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #16
| Source File: test_datetime.py From pySINDy with MIT License | 6 votes |
|
def test_isnat(self):
assert_(np.isnat(np.datetime64('NaT', 'ms')))
assert_(np.isnat(np.datetime64('NaT', 'ns')))
assert_(not np.isnat(np.datetime64('2038-01-19T03:14:07')))
assert_(np.isnat(np.timedelta64('NaT', "ms")))
assert_(not np.isnat(np.timedelta64(34, "ms")))
res = np.array([False, False, True])
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
arr = np.array([123, -321, "NaT"], dtype='<datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>datetime64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='<timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
arr = np.array([123, -321, "NaT"], dtype='>timedelta64[%s]' % unit)
assert_equal(np.isnat(arr), res)
Example #17
| Source File: util.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def isfinite(val):
"""
Helper function to determine if scalar or array value is finite extending
np.isfinite with support for None, string, datetime types.
"""
is_dask = is_dask_array(val)
if not np.isscalar(val) and not is_dask:
val = asarray(val, strict=False)
if val is None:
return False
elif is_dask:
import dask.array as da
return da.isfinite(val)
elif isinstance(val, np.ndarray):
if val.dtype.kind == 'M':
return ~isnat(val)
elif val.dtype.kind == 'O':
return np.array([isfinite(v) for v in val], dtype=bool)
elif val.dtype.kind in 'US':
return ~pd.isna(val) if pd else np.ones_like(val, dtype=bool)
finite = np.isfinite(val)
if pd and pandas_version >= '1.0.0':
finite &= ~pd.isna(val)
return finite
elif isinstance(val, datetime_types+timedelta_types):
return not isnat(val)
elif isinstance(val, (basestring, bytes)):
return True
finite = np.isfinite(val)
if pd and pandas_version >= '1.0.0':
if finite is pd.NA:
return False
return finite & (~pd.isna(val))
return finite
Example #18
| Source File: test_datetime.py From pySINDy with MIT License | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(TypeError, np.isnat, np.zeros(10, t))
Example #19
| Source File: test_datetime.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(ValueError, np.isnat, np.zeros(10, t))
Example #20
| Source File: test_datetime.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(TypeError, np.isnat, np.zeros(10, t))
Example #21
| Source File: test_datetime.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(ValueError, np.isnat, np.zeros(10, t))
Example #22
| Source File: test_datetime.py From coffeegrindsize with MIT License | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(TypeError, np.isnat, np.zeros(10, t))
Example #23
| Source File: test_datetime.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(TypeError, np.isnat, np.zeros(10, t))
Example #24
| Source File: test_datetime.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(TypeError, np.isnat, np.zeros(10, t))
Example #25
| Source File: test_datetime.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(TypeError, np.isnat, np.zeros(10, t))
Example #26
| Source File: test_datetime.py From Mastering-Elasticsearch-7.0 with MIT License | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(TypeError, np.isnat, np.zeros(10, t))
Example #27
| Source File: test_datetime.py From vnpy_crypto with MIT License | 5 votes |
|
def test_isnat_error(self):
# Test that only datetime dtype arrays are accepted
for t in np.typecodes["All"]:
if t in np.typecodes["Datetime"]:
continue
assert_raises(TypeError, np.isnat, np.zeros(10, t))
Example #28
| Source File: estimate_effects.py From SparseSC with MIT License | 5 votes |
|
def _convert_dt_to_idx(dt, dt_index):
#pylint seems to be confused by the ufunc
if np.isnat(dt): #pylint: disable=no-member
return np.nan
else:
idx_list = np.where(dt_index==dt)[0]
return np.nan if len(idx_list)==0 else idx_list[0]
Example #29
| Source File: _utils.py From dexplo with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def isna_array(arr, kind):
if kind == 'b':
return arr == -1
elif kind == 'i':
return arr == MIN_INT
elif kind == 'f':
return np.isnan(arr)
elif kind in 'mM':
return np.isnat(arr)
elif kind == 'S':
return arr == 0
Example #30
| Source File: _utils.py From dexplo with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def check_all_nans(arr: ndarray, kind: str) -> bool:
if kind == 'b':
return (arr == -1).all()
elif kind == 'i':
return (arr == MIN_INT).all()
elif kind == 'S':
return (arr == 0).all()
elif kind == 'f':
return np.isnan(arr).all()
elif kind in 'mM':
return np.isnat(arr).all()
