build_table_schema(data: 'DataFrame | Series', index: 'bool' = True, primary_key: 'bool | None' = None, version: 'bool' = True) -> 'dict[str, JSONSerializable]'
See :None:None:`Table Schema
<https://pandas.pydata.org/docs/user_guide/io.html#table-schema>` for conversion types. Timedeltas as converted to ISO8601 duration format with 9 decimal places after the seconds field for nanosecond precision.
Categoricals are converted to the :None:None:`any` dtype, and use the enum
field constraint to list the allowed values. The :None:None:`ordered` attribute is included in an :None:None:`ordered` field.
Whether to include data.index
in the schema.
Column names to designate as the primary key. The default :None:None:`None` will set :None:None:`'primaryKey'` to the index level or levels if the index is unique.
Whether to include a field :None:None:`pandas_version` with the version of pandas that last revised the table schema. This version can be different from the installed pandas version.
Create a Table schema from data
.
>>> df = pd.DataFrame(See :
... {'A': [1, 2, 3],
... 'B': ['a', 'b', 'c'],
... 'C': pd.date_range('2016-01-01', freq='d', periods=3),
... }, index=pd.Index(range(3), name='idx'))
... build_table_schema(df) {'fields': [{'name': 'idx', 'type': 'integer'}, {'name': 'A', 'type': 'integer'}, {'name': 'B', 'type': 'string'}, {'name': 'C', 'type': 'datetime'}], 'primaryKey': ['idx'], 'pandas_version': '1.4.0'}
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.io.json._table_schema.parse_table_schema
pandas.io.json._table_schema.build_table_schema
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