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        "author": "Thijs Vogels",
        "author_email": "t.vogels@me.com",
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        "description": "# Dixi - Deep Dictionaries for Python\n\n## Installation\n```bash\npip install dixi\n```\n\n## Examples\n```python\nfrom dixi import Dixi\n\ndata = Dixi({\n    'Chris': {\n        'age': 25,\n        'address': {\n            'city': 'Amsterdam',\n            'country': 'Netherlands',\n        },\n    },\n    'Anna': {\n        'age': 19,\n        'address': {\n            'city': 'Z\u00fcrich',\n            'country': 'Switzerland',\n        },\n    },\n    'John': {\n        'age': 44,\n        'address': {\n            'city': 'London',\n            'country': 'United Kingdom',\n        },\n    },\n})\n```\n\n### Deep indexing\n```python\ndata['John', 'age']\n# >> 44\n```\n\n### Partial indexing\n```python\ndata['Chris', 'address']\n# >> {'city': 'Amsterdam', 'country': 'Netherlands'}\n```\n\n### NumpPy style slicing\n```python\ndata[:, 'address', 'country']\n# >> Dixi({'Chris': 'Netherlands', 'Anna': 'Switzerland', 'John': 'United Kingdom'})\ndata[['Chris', 'Anna'], 'age']\n# >> {'Chris': 25, 'Anna': 19}\n```\n\n### Setting\n```python\ndata['Derek', 'hobbies'] = ['Sewing', 'Archery']\n```\n\n### Iteration\n```python\nfor key in data: # or key in data.leafkeys()\n    print(key)\n# >> ('Chris', 'age')\n# >> ('Anna', 'age')\n# >> ('Anna', 'address', 'city')\n# >> ('Anna', 'address', 'country')\n# >> ('John', 'age')\n# >> ('John', 'address', 'city')\n# >> ('John', 'address', 'country')\n# >> ('Derek', 'hobbies')\n```\n```python\nfor key in data.keys():\n    print(key)\n# >> Chris\n# >> Anna\n# >> John\n# >> Derek\n```\n```python\nfor key, value in data.items():\n    print(key, value)\n# >> Chris {'age': 25}\n# >> Anna {'age': 19, 'address': {'city': 'Z\u00fcrich', 'country': 'Switzerland'}}\n# >> John {'age': 44, 'address': {'city': 'London', 'country': 'United Kingdom'}}\n# >> Derek {'hobbies': ['Sewing', 'Archery']}\n```\n```python\ndata = Dixi({\n    0: {  0: 'a', 1: 'b' },\n    1: { 0: 'c', 1: 'd' },\n})\nfor keys, value in data.iterleaves():\n    print(keys, value)\n# >> (0, 0) a\n# >> (0, 1) b\n# >> (1, 0) c\n# >> (1, 1) d\n```\n\n### Deletion\n```python\ndel data['Chris', 'address']\n```\n\n## Todo\n* Allow indexing for arrays\n\n\n",
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        "keywords": "dict,tree,numpy slicing",
        "license": "BSD",
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        "name": "dixi",
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