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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import typing as t\n",
"from dataclasses import dataclass\n",
"\n",
"@dataclass\n",
"class Item:\n",
" name: str\n",
" price: t.Union[int, float]\n",
" number: int"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import typing as t\n",
"from dataclasses import dataclass\n",
"\n",
"@dataclass(repr=False, eq=True, order=False)\n",
"class Item:\n",
" name: str\n",
" price: t.Union[int, float]\n",
" number: int"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import typing as t\n",
"from dataclasses import dataclass\n",
"\n",
"@dataclass\n",
"class Item:\n",
" name: str\n",
" price: t.Union[int, float] = 0\n",
" number: int = 0"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import typing as t\n",
"from dataclasses import dataclass, field\n",
"\n",
"@dataclass\n",
"class Item:\n",
" name: str\n",
" price: t.Union[int, float] = 0\n",
" number: int = 0\n",
" categories: t.List[str] = field(default_factory=list)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"import typing as t\n",
"from dataclasses import dataclass, field\n",
"\n",
"@dataclass\n",
"class Item:\n",
" name: str\n",
" price: t.Union[int, float] = field(default=0)\n",
" number: int = field(default=0)\n",
" categories: t.List[str] = field(default_factory=list)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Item(name='iPhone 14', price=6999, number=1000, categories=[Category(level=1, name='')])"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import typing as t\n",
"from dataclasses import dataclass, field\n",
"\n",
"\n",
"@dataclass\n",
"class Category:\n",
" level: int = 1\n",
" name: str = \"\"\n",
"\n",
"\n",
"def default_categories():\n",
" return [Category()]\n",
"\n",
"\n",
"@dataclass\n",
"class Item:\n",
" name: str\n",
" price: t.Union[int, float] = field(default=0)\n",
" number: int = field(default=0)\n",
" categories: t.List[Category] = field(default_factory=default_categories)\n",
"\n",
"\n",
"Item(\"iPhone 14\", price=6999, number=1000)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"\n",
"if sys.version_info >= (3, 10):\n",
" from dataclasses import KW_ONLY\n",
"\n",
" import typing as t\n",
" from dataclasses import KW_ONLY, dataclass, field\n",
"\n",
"\n",
" @dataclass\n",
" class Category:\n",
" level: int = 1\n",
" name: str = \"\"\n",
"\n",
"\n",
" def default_categories():\n",
" return [Category()]\n",
"\n",
"\n",
" @dataclass\n",
" class Item:\n",
" name: str\n",
" _: KW_ONLY\n",
" price: t.Union[int, float] = field(default=0)\n",
" number: int = field(default=0)\n",
" categories: t.List[Category] = field(default_factory=default_categories)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"import typing as t\n",
"from dataclasses import asdict, astuple, dataclass, field\n",
"\n",
"\n",
"@dataclass\n",
"class Category:\n",
" level: int = 1\n",
" name: str = \"\"\n",
"\n",
"\n",
"def default_categories():\n",
" return [Category()]\n",
"\n",
"\n",
"@dataclass\n",
"class Item:\n",
" name: str\n",
" price: t.Union[int, float] = field(default=0)\n",
" number: int = field(default=0)\n",
" categories: t.List[Category] = field(default_factory=default_categories)\n",
"\n",
"\n",
"item = Item(\"iPhone 14\", price=6999, number=1000)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('iPhone 14', 6999, 1000, [(1, '')])"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"astuple(item)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'name': 'iPhone 14',\n",
" 'price': 6999,\n",
" 'number': 1000,\n",
" 'categories': [{'level': 1, 'name': ''}]}"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"asdict(item)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.9.0 ('pandas-startup')",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.0"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "13977d4cc82dee5f9d9535ceb495bd0ab12a43c33c664e5f0d53c24cf634b67f"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}