Releases: MIT-LCP/wfdb-python
Releases · MIT-LCP/wfdb-python
v4.1.2
What's Changed
- Handle more than 8 compressed signals in wrsamp by @bemoody in #450
- Add a test to check if wrsamp can write more than 8 channels to format 516 by @alistairewj in #451
- Use int64 instead of int for ann2rr by @bemoody in #454
Full Changelog: v4.1.1...v4.1.2
v4.1.1
v4.1.0
- Converting a record into a Pandas DataFrame (#380)
- Locating signals in a multi-segment record (#403)
- Writing custom annotation symbols (#404)
- Performance improvements when writing annotations (#406)
- Correct rounding when converting floating-point signal data (#419)
- Writing signals in compressed format (#420)
- Decoding non-ASCII text in EDF files (#429)
- Bug fixes when writing signal metadata (#424)
- Documentation updates (#401, #407, #433, #437)
- Internal refactoring (#396, #400)
- Test suite improvements (#416, #422)
v4.0.0
- Supports reading WFDB records that contain FLAC signal files. #372
- Switches to Poetry for package management. #356
- Sets Python support to >=3.7
- Supports reading multi-frequency multi-segment records. #331
- Supports plotting multi-frequency data using
plot_wfdb
. #348 - Plots annotations on top of signals in plot functions. #345
- Aligns signals horizontally in
plot_wfdb
if possible by default. #390 - Correctly handles sample numbers > 2**31 in annotation files. #328
- Fixes bugs when reading formats 8, 310, and 311. #327
- Removes the ability for
rdrecord
andrdsamp
to read EDF and WAV files. #370 - Renames
edf2mit
,mit2edf
,wav2mit
,mit2wav
, andcsv2mit
toread_edf
,wfdb_to_edf
,read_wav
,wfdb_to_wav
, andcsv_to_wfdb
respectively. #370 See also this note. - Moves the above format conversion functions to the
wfdb.io.convert
submodule. #370
v3.4.1
This release makes the following changes:
- Fix axes indexing issue when plotting a single channel: bugfix: unable to plot single channel record #308
- Update matplotlib version and import only when used: This updates the Matplotlib version to avoid segmentation faults on Macs running Big Sur. #310 and Lazily import matplotlib #314
- Performance improvements to smooth_frames=False: Optimize smooth_frames=False #318
- List only direct dependencies in requirements.txt: Remove transitive dependencies #322
- Correct an error in the calculation of the signals length for certain cases: Correctly infer length of record when unspecified #323
- Speed up import time by removing the dependency on scikit-learn when it isn't required: Remove dependency on scikit-learn #321
v3.4.0
- Adds EDF+C support for
edf2mit
- Improves speed of
resample_ann
- Allows negative annotation subtypes
- Adds
rr2ann
- Updates to Python 3.6+
- Adds
sharex
andsharey
toplot_items
- Adds
wfdbdesc
- Adds
wfdbtime
- Adds conversion for CSV to WFDB-annotations
- Adds
rdedfann
- Adds information about WFDB header format in
wfdb/io/_header.py
- Adds
mrgann
- Adds
sigavg