def _extract_neo_attrs_safe(obj, parents=True, child_first=True):
"""Given a neo object, return a dictionary of attributes and annotations.
This is done in a manner that is safe for `pandas` indexes.
Parameters
----------
obj : neo object
parents : bool, optional
Also include attributes and annotations from parent neo
objects (if any).
child_first : bool, optional
If True (default True), values of child attributes are used
over parent attributes in the event of a name conflict.
If False, parent attributes are used.
This parameter does nothing if `parents` is False.
Returns
-------
dict
A dictionary where the keys are annotations or attribute names and
the values are the corresponding annotation or attribute value.
"""
res = extract_neo_attrs(obj, skip_array=True, skip_none=True,
parents=parents, child_first=child_first)
for key, value in res.items():
res[key] = _convert_value_safe(value)
key2 = _convert_value_safe(key)
if key2 is not key:
res[key2] = res.pop(key)
return res
def _extract_neo_attrs_safe(obj, parents=True, child_first=True):
"""Given a neo object, return a dictionary of attributes and annotations.
This is done in a manner that is safe for `pandas` indexes.
Parameters
----------
obj : neo object
parents : bool, optional
Also include attributes and annotations from parent neo
objects (if any).
child_first : bool, optional
If True (default True), values of child attributes are used
over parent attributes in the event of a name conflict.
If False, parent attributes are used.
This parameter does nothing if `parents` is False.
Returns
-------
dict
A dictionary where the keys are annotations or attribute names and
the values are the corresponding annotation or attribute value.
"""
res = extract_neo_attrs(obj, skip_array=True, skip_none=True,
parents=parents, child_first=child_first)
for key, value in res.items():
res[key] = _convert_value_safe(value)
key2 = _convert_value_safe(key)
if key2 is not key:
res[key2] = res.pop(key)
return res