## Library to update nested dicts and lists
You can change the values in a flattened version of your dict that NestedNop creates for you. After you editing, NestedNop updates the original structure automatically.
```python
pip install nestednop
```
```python
dictoriginal=data={'level1': {'t1': {'s1': {'col1': 5, 'col2': 4, 'col3': 4, 'col4': 9},
's2': {'col1': 1, 'col2': 5, 'col3': 4, 'col4': 8},
's3': {'col1': 11, 'col2': 8, 'col3': 2, 'col4': 9},
's4': {'col1': 5, 'col2': 4, 'col3': 4, 'col4': 9}},
't2': {'s1': {'col1': 5, 'col2': 4, 'col3': 4, 'col4': 9},
's2': {'col1': 1, 'col2': 5, 'col3': 4, 'col4': 8},
's3': {'col1': 11, 'col2': 8, 'col3': 2, 'col4': 9},
's4': {'col1': 5, 'col2': 4, 'col3': 4, 'col4': 9}},
't3': {'s1': {'col1': 1, 'col2': 2, 'col3': 3, 'col4': 4},
's2': {'col1': 5, 'col2': 6, 'col3': 7, 'col4': 8},
's3': {'col1': 9, 'col2': 10, 'col3': 11, 'col4': 12},
's4': {'col1': 13, 'col2': 14, 'col3': 15, 'col4': 16}}},
'level2': {'t1': {'s1': {'col1': 5, 'col2': 4, 'col3': 9, 'col4': 9},
's2': {'col1': 1, 'col2': 5, 'col3': 4, 'col4': 5},
's3': {'col1': 11, 'col2': 8, 'col3': 2, 'col4': 13},
's4': {'col1': 5, 'col2': 4, 'col3': 4, 'col4': 20}},
't2': {'s1': {'col1': 5, 'col2': 4, 'col3': 4, 'col4': 9},
's2': {'col1': 1, 'col2': 5, 'col3': 4, 'col4': 8},
's3': {'col1': 11, 'col2': 8, 'col3': 2, 'col4': 9},
's4': {'col1': 5, 'col2': 4, 'col3': 4, 'col4': 9}},
't3': {'s1': {'col1': 1, 'col2': 2, 'col3': 3, 'col4': 4},
's2': {'col1': 5, 'col2': 6, 'col3': 7, 'col4': 8},
's3': {'col1': 9, 'col2': 10, 'col3': 11, 'col4': 12},
's4': {'col1': 13, 'col2': 14, 'col3': 15, 'col4': 16}}}}
from nestednop import NestedNop
nest=NestedNop(dictoriginal)
for key, item in nest.iterable_flat.items():
if item['get_value']() == 4 and key[-1] == 'col3':
item['set_value'](400000000000000)
updatediter = nest.get_updated_iterable()
updatediter
{'level1': {'t1': {'s1': {'col1': 5,
'col2': 4,
'col3': 400000000000000,
'col4': 9},
's2': {'col1': 1, 'col2': 5, 'col3': 400000000000000, 'col4': 8},
's3': {'col1': 11, 'col2': 8, 'col3': 2, 'col4': 9},
's4': {'col1': 5, 'col2': 4, 'col3': 400000000000000, 'col4': 9}},
't2': {'s1': {'col1': 5, 'col2': 4, 'col3': 400000000000000, 'col4': 9},
's2': {'col1': 1, 'col2': 5, 'col3': 400000000000000, 'col4': 8},
's3': {'col1': 11, 'col2': 8, 'col3': 2, 'col4': 9},
's4': {'col1': 5, 'col2': 4, 'col3': 400000000000000, 'col4': 9}},
't3': {'s1': {'col1': 1, 'col2': 2, 'col3': 3, 'col4': 4},
's2': {'col1': 5, 'col2': 6, 'col3': 7, 'col4': 8},
's3': {'col1': 9, 'col2': 10, 'col3': 11, 'col4': 12},
's4': {'col1': 13, 'col2': 14, 'col3': 15, 'col4': 16}}},
'level2': {'t1': {'s1': {'col1': 5, 'col2': 4, 'col3': 9, 'col4': 9},
's2': {'col1': 1, 'col2': 5, 'col3': 400000000000000, 'col4': 5},
's3': {'col1': 11, 'col2': 8, 'col3': 2, 'col4': 13},
's4': {'col1': 5, 'col2': 4, 'col3': 400000000000000, 'col4': 20}},
't2': {'s1': {'col1': 5, 'col2': 4, 'col3': 400000000000000, 'col4': 9},
's2': {'col1': 1, 'col2': 5, 'col3': 400000000000000, 'col4': 8},
's3': {'col1': 11, 'col2': 8, 'col3': 2, 'col4': 9},
's4': {'col1': 5, 'col2': 4, 'col3': 400000000000000, 'col4': 9}},
't3': {'s1': {'col1': 1, 'col2': 2, 'col3': 3, 'col4': 4},
's2': {'col1': 5, 'col2': 6, 'col3': 7, 'col4': 8},
's3': {'col1': 9, 'col2': 10, 'col3': 11, 'col4': 12},
's4': {'col1': 13, 'col2': 14, 'col3': 15, 'col4': 16}}}}
```
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