fastcs.datatypes.table#
Members
Table(structured_dtype: list[tuple[str, typing.Union[type[typing.Any], numpy.dtype[typing.Any], numpy._typing._dtype_like._HasDType[numpy.dtype[typing.Any]], numpy._typing._dtype_like._HasNumPyDType[numpy.dtype[typing.Any]], tuple[typing.Any, typing.Any], list[typing.Any], numpy._typing._dtype_like._DTypeDict, str]]]) |
- class fastcs.datatypes.table.Table(structured_dtype: list[tuple[str, Union[type[Any], numpy.dtype[Any], numpy._typing._dtype_like._HasDType[numpy.dtype[Any]], numpy._typing._dtype_like._HasNumPyDType[numpy.dtype[Any]], tuple[Any, Any], list[Any], numpy._typing._dtype_like._DTypeDict, str]]])[source]#
- structured_dtype: list[tuple[str, type[Any] | dtype[Any] | _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str]]#
The structured dtype for numpy array
See docs for more information: https://numpy.org/devdocs/user/basics.rec.html#structured-datatype-creation