I have copied B_cells
value into A
dictionary. I am trying to add new element A_cell
but it's impacting B_cells
also
props = {'A_cells': {'t4drc_3': ['Path'],
'tb4drc_1': ['Path']},
'B_cells': {'t4drc_3': ['Path'],
'tb4drc_1': ['Path']}
}
props_dict['A_cells'] = props_dict['B_cell'].copy()
#Need to append data for A cells only
def append_in_dict_by_option(self, option, data):
"""Adding data in dictionary"""
for key in props_dict[option].keys():
self.props_dict[option][key].append(data)
So I was expecting output in A_cells
only but it's impacting B_cells
. Any idea
{'A_cells': {'t4drc_3': ['Path', data],
'tb4drc_1': ['Path', data]},
That's because dict.copy returns a shallow copy of the dict. This means you get a new dict instance, but the elements in the dict are the same.
props['A_cells'] is props['B_cells'] #returns False
props['A_cells']['tb4drc_1'] is props['B_cells']['tb4drc_1'] #returns True
Therefore, if you append a value to props['A_cells']['tb4drc_1'], the change will be reflected in props['B_cells']['tb4drc_1'] - they contain the same list instance after all.
UPDATE:
To fix this, change
props_dict['A_cells'] = props_dict['B_cells'].copy()
to
from copy import deepcopy
props_dict['A_cells'] = deepcopy(props_dict['B_cells'])
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