> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.conductorquantum.com/api-reference/stanza-api/logger/writers/hdf-5-writer/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.conductorquantum.com/_mcp/server. # stanza.logger.writers.hdf5_writer ## Module Contents ### Classes | Name | Description | |------|-------------| | [`HDF5Writer`](#stanzaloggerwritershdf5_writerhdf5writer) | Writer for HDF5 files. | ### Data `logger` ### API ```python stanza.logger.writers.hdf5_writer.logger ``` **Value**: `getLogger(...)` ```python class stanza.logger.writers.hdf5_writer.HDF5Writer(base_directory: str | pathlib.Path, compression: str | None = None, compression_level: int | None = None) ``` **Bases**: `stanza.logger.writers.base.AbstractDataWriter` Writer for HDF5 files. ```python initialize_session(session: stanza.logger.datatypes.SessionMetadata) -> None ``` Initialize the writer for a new session. **Parameters:** Session metadata to write **Raises:** WriterError: If session is already initialized or file creation fails ```python finalize_session(session: stanza.logger.datatypes.SessionMetadata | None = None) -> None ``` Finalize the writer for a session. **Parameters:** Optional updated session metadata to write **Raises:** WriterError: If no active session or finalization fails ```python write_measurement(measurement: stanza.logger.datatypes.MeasurementData) -> None ``` Write a single measurement data point. **Parameters:** Measurement data to write **Raises:** WriterError: If no active session or write operation fails ```python write_sweep(sweep: stanza.logger.datatypes.SweepData) -> None ``` Write sweep data to HDF5 file. **Parameters:** Sweep data to write **Raises:** WriterError: If no active session or write operation fails ```python flush() -> None ``` Flush data to disk. **Raises:** WriterError: If flush operation fails ```python _create_dataset( group: h5py.Group, name: str, data: numpy.ndarray ) -> None ``` Create a dataset with the configured compression settings. ```python _unique_child_name( group: h5py.Group, base: str ) -> str ``` Return a unique child name within a group based on base. If `base` exists, returns `base_{n}` with the smallest available n.