def __delitem__(self, key):
UserDict.__delitem__(self, key)
if self._preferred_order:
if key in self._preferred_order:
p_idx = self._preferred_order.index(key)
self._keys[p_idx] = None
return
self._keys.remove(key)
def __delitem__(self, key):
# This function is a backdoor to messing up the indices and columns.
# I needed to reimplement it to prevent bad behavior
if key == 'index':
raise KeyError('The index column may be reset, but not dropped.')
else:
UserDict.__delitem__(self, key)
self._columns.remove(key)
# If removing this column emptied the dataframe
if len(self._columns) == 1:
self.data['index'] = None
self._empty = True
self.update_size()
def __delitem__(self, key):
"""
Parameters
----------
item : (Interface, Interface)
"""
key = self._get_key(*key)
# old-style class, no super
return UserDict.__delitem__(self, key)
def __delitem__(self, key):
UserDict.__delitem__(self, key)
self._keys.remove(key)
def __delitem__(self, key):
if key in self.special_keys:
raise NotImplementedError("Can't explicitly delete {key}".format(key=key))
return UserDict.__delitem__(self, key)
def __delitem__(self, key):
UserDict.__delitem__(self, key)
self._keys.remove(key)
def __setitem__(self, key, value):
self.parent.updateItem(self.instance, key, value)
if value or not self.autoDelete:
UserDict.__setitem__(self, key, value)
elif UserDict.__contains__(self, key):
UserDict.__delitem__(self, key)
def __delitem__(self, key):
self.__keys__.remove(key)
UserDict.__delitem__(self, key)
def __delitem__(self, Key):
self._key_list.remove(Key)
IterableUserDict.__delitem__(self, Key)
def __delitem__(self, key):
self.modified = True
return UserDict.__delitem__(self, key)
