heatwave3
Detect marine heatwaves (MHWs) and marine cold-spells (MCSs) directly in gridded NetCDF data, following the Hobday et al. (2016, 2018) definitions.
heatwave3 is the Python interface to the same C++ core as the
heatwave3 R package: climatology,
event detection, categorisation and blob detection run in multi-threaded C++
with direct NetCDF I/O. Function names, arguments and outputs match the R
package, so code translates line for line.
import heatwave3 as hw3
# Climatology + events (+ categories, + daily series) in one call
out = hw3.detect3("sst.nc", "results/run1", ("1982-01-01", "2011-12-31"),
category=True, daily="also", n_threads=4)
events = hw3.hw3_export(out["events"]) # pandas DataFrame
daily = hw3.hw3_export(out["daily"], time_range=("2023-01-01", "2023-12-31"))
hw3.hw3_export(out["events"], file_out="events.parquet") # or .csv
Also available: ts2clm3(), detect_event3(), category3(),
category_daily3(), block_average3(), exceedance3(), detect_blob3()
(spatially connected events), getHW3threads() and setHW3threads(), and,
with pip install heatwave3[plot], the matplotlib plots event_line3(),
plot_metric3(), geom_flame3() and geom_lolli3(). The one
naming difference from R: detect_blob3()'s return argument is return_,
because return is a Python keyword.
Documentation: https://heatwave3.readthedocs.io
Its version is pinned to the R package's: heatwave3 1.4.0 in Python has the same functions and outputs as heatwave3 1.4.0 in R.
1 maintainer
Metadata
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Release files for heatwave3 1.4.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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Built distributions (wheels)
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / heatwave3-1.4.0-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | heatwave3-1.4.0-cp310-cp310-macosx_11_0_arm64.whl |
|---|---|
| Size | 1.9 MB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
eba80e0edcd8199acd438ac01c394b3937a4b2239f4f0b4e7343573618ce604d
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
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