Interactive Explorers — SciTeX IO v0.1.1

# Interactive Explorers

scitex-io includes interactive explorers for hierarchical data formats. These let you browse complex files without loading everything into memory.

## H5Explorer

Browse HDF5 files interactively:

    from scitex_io import H5Explorer

    explorer = H5Explorer("experiment.hdf5")

    # List all keys at root level
    explorer.keys()

    # Navigate into groups
    explorer["recordings"].keys()

    # Load specific datasets
    data = explorer["recordings/channel_01"][:]

    # Check if a key exists
    from scitex_io import has_h5_key
    if has_h5_key("experiment.hdf5", "recordings/channel_01"):
        data = explorer["recordings/channel_01"][:]

Note

Requires `h5py`: `pip install h5py`

## ZarrExplorer

Browse Zarr stores interactively:

    from scitex_io import ZarrExplorer

    explorer = ZarrExplorer("experiment.zarr")

    # List all arrays/groups
    explorer.keys()

    # Load specific arrays
    data = explorer["timeseries"][:]

Note

Requires `zarr`: `pip install zarr`

## Migration: HDF5 to Zarr

Convert HDF5 files to Zarr format for better cloud and parallel access:

    from scitex_io.utils import migrate_h5_to_zarr, migrate_h5_to_zarr_batch

    # Single file
    migrate_h5_to_zarr("data.hdf5", "data.zarr")

    # Batch conversion
    migrate_h5_to_zarr_batch("data_dir/", "zarr_dir/")