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https://github.com/erdogant/dicter

Python package with advanced dictionary functions. Traverse through nested dicts. Set and get multiple keys. Flattens dicts. Store and load in json and more!
https://github.com/erdogant/dicter

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Python package with advanced dictionary functions. Traverse through nested dicts. Set and get multiple keys. Flattens dicts. Store and load in json and more!

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* ``dicter`` is Python package with advanced dictionary functions:

* Traverse through nested dicts to retrieve key-path.
* Set value in dictionary using key-path
* Get value in dictionary using key-path.
* Flattens dicts.
* Compare two dicts.
* Store and load in json.

#
**Star this repo if you like it! ⭐️**
#

## Documentation

* [**dicter documentation pages (Sphinx)**](https://erdogant.github.io/dicter/)

## Installation
* Install dicter from PyPI (recommended). dicter is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows.
* A new environment can be created as following:

```bash
pip install -U dicter
```

* Alternatively, you can install from the GitHub source:
```bash
# Directly install from github source
pip install git+https://github.com/erdogant/dicter
```

## Examples

#### Import dicter package
```python
import dicter as dt
```

#### Traverse all paths in dictionary.
```python
import dicter as dt
# Example dict:
d = {'level_a': 1, 'level_b': {'a': 'hello world'}, 'level_c': 3, 'level_d': {'a': 1, 'b': 2, 'c': {'e': 10}}, 'level_e': 2}
# Walk through dict to get all paths
paths = dt.traverse(d)

print(paths)
# [[['level_a'], 1],
# [['level_c'], 3],
# [['level_e'], 2],
# [['level_b', 'a'], 'hello world'],
# [['level_d', 'a'], 1],
# [['level_d', 'b'], 2],
# [['level_d', 'c', 'e'], 10]]
```

#### Get value from dictionary using nested keys.
```python
# Import dicter
import dicter as dt

# Example dictionary
d = {'level_a': 1, 'level_b': {'a': 'hello world'}, 'level_c': 3, 'level_d': {'a': 1, 'b': 2, 'c': {'e': 10}}, 'level_e': 2}
# Get the value for the nested path for:
value = dt.get_nested(d, key_path=["level_b", "a"])
print(value)
# 'hello world'

```

#### Set value from dictionary using nested keys.
```python
# Import dicter
import dicter as dt

# Example: New path and value in dictionary.
d = {}
key_path = ['person', 'address', 'city']
dt.set_nested(d, key_path, 'New York')
# Print updated dictionary
print(d)
# {'person': {'address': {'city': 'New York'}}}

```

#### Set value from dictionary using nested keys.
```python
# Import dicter
import dicter as dt

# Example dict
d = {'level_a': 1, 'level_b': {'a': 'hello world'}, 'level_c': 3, 'level_d': {'a': 1, 'b': 2, 'c': {'e': 10}}, 'level_e': 2}
# Flatten dictionary
dflat = dt.flatten(d)

print(d_flat)

# [['level_a', 1],
# ['a', 'hello world'],
# ['level_c', 3],
# ['a', 1],
# ['b', 2],
# ['e', 10],
# ['level_e', 2]]

```

#### Depth of dictionary.
```python
# Import dicter
import dicter as dt

d = {'level_a': 1, 'level_b': {'a': 'hello world'}, 'level_c': 3, 'level_d': {'a': 1, 'b': 2, 'c': {'e': 10}}, 'level_e': 2}
n = dt.depth(d)

```

#### Compare dictionary.
```python
# Import dicter
import dicter as dt

Example: Add
d1 = {'level_a': 1, 'level_b': {'a': 'hello world'}, 'level_c': 'new in d2'}
d2 = {'level_a': 1, 'level_b': {'a': 'hello world'}}
out = dt.compare(d1, d2)
print(out)

Example: Remove
d1 = {'level_a': 1, 'level_b': {'a': 'hello world'}}
d2 = {'level_a': 1, 'level_b': {'a': 'hello world'}, 'level_c': 'new in d2'}
out = dt.compare(d1, d2)
print(out)

Example: Modified
d1 = {'level_a': 1, 'level_b': {'a': 'hello world'}}
d2 = {'level_a': 1, 'level_b': {'a': 'modified'}}
out = dt.compare(d1, d2)
print(out['modified'])

```

#### Save and load dictionary.
```python

# Import dicter
import dicter as dt

d = {'level_a': None, 'level_b': {'a': 'hello world'}, 'level_c': True, 'level_d': 2.3, 'level_e': [[1,2,3], [1,2]]}
filepath='c:/temp/test/dicter_save.json'

# First save
dt.save(d, filepath=filepath, overwrite=True)

# Load
d = dt.load(filepath)
```
#

#### Citation
Please cite in your publications if this is useful for your research (see citation).

#### ☕ Support

If you find this project useful, consider supporting me: