• 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.

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Documentation

• dicter documentation pages (Sphinx)

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:

pip install -U dicter

• Alternatively, you can install from the GitHub source:

# Directly install from github source
pip install git+https://github.com/erdogant/dicter

Examples

Import dicter package

import dicter as dt

Traverse all paths in dictionary.

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.

# 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.

# 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.

# 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.

# 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.

# 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.

# 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).

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