def _format_value(self, val):
if lib.checknull(val):
val = self.na_rep
elif is_float(val):
if lib.isposinf_scalar(val):
val = self.inf_rep
elif lib.isneginf_scalar(val):
val = '-%s' % self.inf_rep
elif self.float_format is not None:
val = float(self.float_format % val)
return val
def _format_value(self, val):
if lib.checknull(val):
val = self.na_rep
elif is_float(val):
if lib.isposinf_scalar(val):
val = self.inf_rep
elif lib.isneginf_scalar(val):
val = '-{inf}'.format(inf=self.inf_rep)
elif self.float_format is not None:
val = float(self.float_format % val)
return val
def _isnull_new(obj):
if is_scalar(obj):
return lib.checknull(obj)
# hack (for now) because MI registers as ndarray
elif isinstance(obj, ABCMultiIndex):
raise NotImplementedError("isnull is not defined for MultiIndex")
elif isinstance(obj, (ABCSeries, np.ndarray, ABCIndexClass)):
return _isnull_ndarraylike(obj)
elif isinstance(obj, ABCGeneric):
return obj._constructor(obj._data.isnull(func=isnull))
elif isinstance(obj, list) or hasattr(obj, '__array__'):
return _isnull_ndarraylike(np.asarray(obj))
else:
return obj is None
def _isna_new(obj):
if is_scalar(obj):
return lib.checknull(obj)
# hack (for now) because MI registers as ndarray
elif isinstance(obj, ABCMultiIndex):
raise NotImplementedError("isna is not defined for MultiIndex")
elif isinstance(obj, (ABCSeries, np.ndarray, ABCIndexClass)):
return _isna_ndarraylike(obj)
elif isinstance(obj, ABCGeneric):
return obj._constructor(obj._data.isna(func=isna))
elif isinstance(obj, list) or hasattr(obj, '__array__'):
return _isna_ndarraylike(np.asarray(obj))
else:
return obj is None
