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generation and sampling\n\n### Datasets\n\nThe package bundles a few datasets in `.pkl` files. They can be sampled by specifying `dataset`.\n\n| Dataset | Description | Count |\n|:-------:|:-----------:|:-----:|\n| first_name | Collection of given names | ~ 20'000 |\n| last_name | Collection of family names | ~ 20'000 |\n\n### Code example\n\n```python\nfrom pydatamocker import Table, Schema\n\nsch = Schema()\n\nusers = sch.add(Table('Users', 1_000))\n\nusers.field('FirstName', { 'dataset': { 'name': 'first_name' } })\nusers.field('LastName', { 'dataset': {\n    'name': 'last_name',\n    'restrict': 3\n}})\nusers.field('Age', { 'binomial': { 'n': 40, 'p': 0.7 } })\nusers.field('SpouseAge', { 'normal': { 'mean': 40, 'std': 10 } })\nusers.field('Status', { 'enum': { 'values': ['Active', 'Inactive', 'Pending confirmation'],\n    'counts': [23, 69, 3], 'shuffle': True } })\nusers.field('Bucket', { 'enum': { 'values': ['1', '2', '3', '4', '5', '6'], 'shuffle': False } })\nusers.field('Grade', { 'enum': { 'values': [1.5, 2.7, 3.3, 4], 'shuffle': True } })\nusers.field('LastLogin', { 'uniform': { 'min': '2015-02-13T8:10:30', 'max': '2021-10-30T19:30:43' } })\nusers.field('RegisteredDate', { 'uniform': { 'min': '2015-02-13', 'max': '2021-10-30', 'format': 'date' } })\nusers.field('ConstField', { 'const': 10, 'filters': [\n    {\n        'multiply': {\n            'const': 20\n        }\n    },\n    {\n        'subtract': {\n            'normal': {\n                'mean': 40,\n                'std': 10\n            }\n        }\n    },\n    {\n        'floor': 10\n    },\n    {\n        'round': 1\n    },\n    {\n        'multiply': {\n            'ref': (users._name, 'Grade')\n        }\n    }\n]})\n\n\n\nsch.sample()\n\ndf = users.getData()\ndf.head(5)\n\n```\n\n### CLI\n\nYou can create data through CLI by running the following command. To generate multiple tables, the\nargument to the `--in` command must be a directory containing the build configs.\n\n```text\npython -m pydatamocker --in input-file-or-directory-path --out output-directory-path\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsoukharev%2Fpydatamocker","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmsoukharev%2Fpydatamocker","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsoukharev%2Fpydatamocker/lists"}