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segyio has learned to handle int16 and int32 sample formats
segyio has learned to write any array_likes with any float-convertible
contents. f.trace = np.linspace(0, 1, 0.01) works as expected.
segyio types have been extended to be more container-like, and conform to
more protocols. Notably, headers and lines are properly dict_like, and traces
are properly array_like
trace.ref added, a write-back mode where changes to yielded trace data are
written back to disk
trace.raw has been improved, is faster and supports setitem and the
container protocol
Headers have learned to accept (seismic unix) keywords in update, so header.update(cdpx=10) works as expected
f.dtype added, this is the dtype used in all segyio-provided numpy arrays,
and reflects the underlying data format
f.readonly added, to query if file handles are writable
segyio gracefully handle non-contiguous and more array_likes in setitem
The type requirements of f.samples has been relaxed, and it now is whatever
numpy uses as default
segyio now assumes IBM float if the format identifier is meaningless
Some exception types are cleaned up, notably header key misses raise
KeyError, not IndexError
General speed and clarity improvements, some more exception guarantees
segyio has learned to raise an error when provided with too short data traces
segyio has started raising deprecation warnings when using to-be-removed
features
The python library has overall been simplified
Lots of new documentation has been written, the sphinx docs structure has
been overhauled