efts-io
Ensemble forecast time series - input/output with netcdf
Overview
Plain text files are not well suited to storing the large volumes of data generated for and by ensemble streamflow forecasts with numerical weather prediction models. netCDF is a binary file format developed primarily for climate, ocean and meteorological data. netCDF has traditionally been used to store time slices of gridded data, rather than complete time series of point data. efts-io is for handling the latter. It reads and writes netCDF data following the NetCDF for Water Forecasting Conventions v2.0.
Installation
pip install efts-io
With uv:
uv tool install efts-io
Metadata
Release files for efts-io 0.10.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| efts_io-0.10.3.tar.gz | 180.4 kB | Without provenance | Details for efts_io-0.10.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| efts_io-0.10.3-py3-none-any.whl | Python 3 | none | any | Details for efts_io-0.10.3-py3-none-any.whl |
Total release size: 232.2 kB
Release files / efts_io-0.10.3.tar.gz
| Download URL | efts_io-0.10.3.tar.gz |
|---|---|
| Size | 180.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.0
|
Release files / efts_io-0.10.3-py3-none-any.whl
| Download URL | efts_io-0.10.3-py3-none-any.whl |
|---|---|
| Size | 51.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.0
|
Security for efts-io 0.10.3
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None of the files in this release were uploaded with provenance metadata.
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