def test_is_null():
# 0 is not considered NULL, as 0 is a legit number too...
# and causes issues with datetimes, since epoch(0)->1970, 1, 1
# same with other 'empty' values like '', [], etc.
from metrique.utils import is_null
import pandas
import numpy
nulls = [None]
not_nulls = ['hello', -1, 1, 0.0, 0, 0L, '', ' \t\n\t ',
{'key': 'value'}, [1], {}, [], pandas.DataFrame()]
nulls += [pandas.NaT, numpy.NaN]
for x in nulls:
null = is_null(x, except_=False)
print '%s is null? %s' % (repr(x), null)
assert null is True
for x in not_nulls:
null = is_null(x, except_=False)
print '%s is null? %s' % (repr(x), null)
assert null is False
try:
null = is_null(x, except_=True)
except RuntimeError:
pass
else:
assert False
def test_is_null():
# 0 is not considered NULL, as 0 is a legit number too...
# and causes issues with datetimes, since epoch(0)->1970, 1, 1
# same with other 'empty' values like '', [], etc.
from metrique.utils import is_null
import pandas
import numpy
nulls = [None]
not_nulls = [
'hello', -1, 1, 0.0, 0, 0L, '', ' \t\n\t ', {
'key': 'value'
}, [1], {}, [],
pandas.DataFrame()
]
nulls += [pandas.NaT, numpy.NaN]
for x in nulls:
null = is_null(x, except_=False)
print '%s is null? %s' % (repr(x), null)
assert null is True
for x in not_nulls:
null = is_null(x, except_=False)
print '%s is null? %s' % (repr(x), null)
assert null is False
try:
null = is_null(x, except_=True)
except RuntimeError:
pass
else:
assert False
def _update(self, objects):
if is_null(objects):
pass
elif is_array(objects, except_=False):
[self.add(x) for x in tuple(objects)]
elif isinstance(objects, MetriqueContainer):
[self.add(o) for o in objects.itervalues()]
else:
raise ValueError(
"objs must be None, a list, tuple, dict or MetriqueContainer")
def _update(self, objects):
if is_null(objects):
pass
elif is_array(objects, except_=False):
[self.add(x) for x in tuple(objects)]
elif isinstance(objects, MetriqueContainer):
[self.add(o) for o in objects.itervalues()]
else:
raise ValueError(
"objs must be None, a list, tuple, dict or MetriqueContainer")
