docs: the Python package — install with maturin, h5py-style reading
README gains a Python section (maturin develop into a venv, a reading example that was run against an h5py-written file, the supported types and keys, what writing covers). The crate README says the same in more detail. QUICKSTART showed clawhdf5.open()/read_f64(), which never existed; it now shows File(...)[...]. Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
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@@ -407,6 +407,48 @@ let values = ds.read_f64()?;
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assert_eq!(values, vec![22.5, 23.1, 21.8]);
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```
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### Python
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`crates/clawhdf5-py` is a Python package (PyO3 + numpy) that reads HDF5 with
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an h5py-shaped API and no libhdf5. It is not on PyPI; build it with
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[maturin](https://www.maturin.rs) into a virtualenv:
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```bash
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python -m venv .venv && . .venv/bin/activate
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pip install maturin numpy
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maturin develop --release -m crates/clawhdf5-py/Cargo.toml
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python -c "import clawhdf5; print(clawhdf5.__version__)"
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```
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```python
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import numpy as np
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import clawhdf5
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with clawhdf5.File("data.h5", "r") as f:
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print(list(f.keys())) # sorted member names, like h5py
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ds = f["group/temperatures"] # relative or absolute ("/group/...") paths
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print(ds.shape, ds.dtype) # dtype is the numpy dtype h5py reports
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block = ds[100:200, ::4] # reads only the selected elements
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row = ds[-1] # integers drop the axis
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picked = ds[[1, 5, 9], :] # one increasing index list per key
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units = ds.attrs["units"] # attributes come back as h5py returns them
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everything = np.asarray(ds)
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records = f["table"] # compound -> numpy structured array
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ids = records["id"] # one field
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```
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Reads cover integers and IEEE floats of every width in either byte order,
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`bool`, enums, complex, fixed and variable-length strings, variable-length
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sequences, opaque, HDF5 array types and compounds; other types (references,
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bitfields, ...) raise `TypeError` instead of returning guessed data. Keys
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follow h5py (negative steps, `None` and boolean masks are refused). The
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read itself runs with the GIL released, so Python threads read in parallel.
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Writing (`File(path, "w")`, `create_dataset`, `create_group`, `attrs[...] =`)
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covers `float64`, `float32`, `int64`, `int32` and `uint8` arrays. The tests
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in `crates/clawhdf5-py/tests` compare every read with h5py; run them with
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`pip install pytest h5py && pytest crates/clawhdf5-py/tests`.
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### Agent Memory
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```rust
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@@ -3,23 +3,71 @@
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[](https://crates.io/crates/clawhdf5-py)
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[](https://docs.rs/clawhdf5-py)
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Python bindings for clawhdf5 — a pure-Rust HDF5 library.
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Python bindings for clawhdf5 — a pure-Rust HDF5 library. The package is
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`clawhdf5` (`import clawhdf5`); it needs numpy and no libhdf5.
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## Features
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## Install
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- h5py-compatible API (`File`, `Group`, `Dataset`)
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- NumPy array integration
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- Read and write HDF5 files from Python with no C dependencies
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Not on PyPI yet. Build it into a virtualenv with [maturin](https://www.maturin.rs):
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## Usage
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```bash
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pip install maturin numpy
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cd crates/clawhdf5-py
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maturin develop --release
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python -c "import clawhdf5; print(clawhdf5.__version__)"
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```
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## Reading
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The read API follows h5py:
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```python
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import numpy as np
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import clawhdf5
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with clawhdf5.File('data.h5', 'r') as f:
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data = f['/dataset'][:]
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with clawhdf5.File("data.h5", "r") as f:
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f.keys(), f["group"].items(), "group/data" in f
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ds = f["group/data"] # or f["/group/data"], f["group"]["data"]
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ds.shape, ds.dtype, ds.attrs["units"]
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ds[10:20, ::2] # only the selected elements are read
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ds[-1], ds[..., 0], ds[[1, 4, 7]]
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np.asarray(ds)
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f["table"]["id"] # a compound field
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```
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- `Dataset.dtype` is the numpy dtype h5py reports: integers and IEEE floats
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of every width in either byte order, `bool`, enums (with
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`dtype.metadata['enum']`), complex, `S<n>` fixed strings, `object` for
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variable-length strings (`bytes` values) and sequences (array values),
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`V<n>` opaque, array types, and compounds as structured dtypes.
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Other types raise `TypeError`.
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- Keys are h5py's: integers, slices with a positive step, `...`, one
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increasing list of integers, compound field names. Each maps onto a
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hyperslab selection. `None`, negative steps and boolean masks are refused
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with h5py's errors.
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- The bytes the library reads become the numpy array's buffer without a
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copy, and the read runs with the GIL released, so threads read in
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parallel.
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- Attributes return what h5py returns; `clawhdf5.Empty` stands for a null
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dataspace (h5py's `Empty`).
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## Writing
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`clawhdf5.File(path, "w")` with `create_dataset(name, data=array,
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chunks=..., compression="gzip")`, `create_group` and `attrs[...] = ...`
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writes `float64`, `float32`, `int64`, `int32` and `uint8` arrays; the file is
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written on `close()`.
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## Tests
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```bash
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pip install pytest h5py
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pytest crates/clawhdf5-py/tests
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```
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`tests/test_read_vs_h5py.py` compares every read with h5py on a file h5py
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writes. `scripts/ci-test.sh` builds the wheel and runs these in CI.
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## License
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MIT
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+9
-6
@@ -395,19 +395,22 @@ clawhdf5 --path agent.h5 snapshot backup_2026-03-19.h5
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Read HDF5 files from Python without libhdf5:
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```bash
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pip install clawhdf5 # coming soon — build from source for now
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cd crates/clawhdf5-py && maturin develop
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# Not on PyPI yet: build from source into a virtualenv
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pip install maturin numpy
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cd crates/clawhdf5-py && maturin develop --release
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```
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```python
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import clawhdf5
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# Read
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f = clawhdf5.open("data.h5")
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temps = f.read_f64("temperatures")
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print(temps) # [22.5, 23.1, 21.8]
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# Read (h5py-style)
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with clawhdf5.File("data.h5", "r") as f:
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temps = f["temperatures"][:]
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print(temps) # [22.5 23.1 21.8]
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```
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See `crates/clawhdf5-py/README.md` for the supported types and indexing.
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---
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## Common Patterns
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