Recent Releases of pytesmo
pytesmo - v0.18.0
- Fix bug which caused missing results in validation with "triple collocation" together with stability or instra-annual options (PR https://github.com/TUW-GEO/pytesmo/pull/314)
- pytesmo.interpolate module was added. This contains a python implementation of the DCT-PLS algorithm (Garcia, 2010). DCT-PLS docs and examples added (PR https://github.com/TUW-GEO/pytesmo/pull/315)
Full Changelog: https://github.com/TUW-GEO/pytesmo/compare/v0.17.0...v0.18.0
- Python
Published by daberer over 1 year ago
pytesmo - v0.17.0 (re-release)
- THIS VERSION IS COMPATIBLE WITH NUMPY>=2, otherwise same content as v0.16.1 (readme file was updated)
- C files were recompiled for numpy>=2,<3, pyproject.toml updated.
- Wheels are now also provided for Linux and MacOS systems https://github.com/TUW-GEO/pytesmo/pull/311
Full Changelog: https://github.com/TUW-GEO/pytesmo/compare/v0.16.1...v0.17.0
- Python
Published by wpreimes over 1 year ago
pytesmo - v0.16.1
- THIS VERSION IS STILL COMPATIBLE WITH NUMPY<2.0, from v0.17 on pytesmo will require numpy>=2.0
- Old pytesmo.timeseries.plotting module was removed
- Fixed and filtered many warnings that were printed by tests until now
- Fixed an issue with the intra-annual metrics adapter when an empty time series is passed (PR https://github.com/TUW-GEO/pytesmo/pull/307)
- Metapackage updated (pyscaffold 4.5) (PR https://github.com/TUW-GEO/pytesmo/pull/307)
- C modules were outdated and could not be compiled, therefore rebuilt (PR https://github.com/TUW-GEO/pytesmo/pull/307)
What's Changed
- Fix failing test with ColumnCombine Adapter by @wpreimes in https://github.com/TUW-GEO/pytesmo/pull/303
- Fix seas val by @wpreimes in https://github.com/TUW-GEO/pytesmo/pull/307
- Prepare v0.16.1 (numpy<2) release by @wpreimes in https://github.com/TUW-GEO/pytesmo/pull/309
Full Changelog: https://github.com/TUW-GEO/pytesmo/compare/v0.16.0...v0.16.1
- Python
Published by wpreimes over 1 year ago
pytesmo - v0.16.0
- Adapters for metric calculators were introduced. The here implemented adapters compute metrics based on temporal subsets of the time series, which can be used for rolling window metrics, seasonal metrics or multiple arbitrary sub-periods. (PR https://github.com/TUW-GEO/pytesmo/pull/266)
- Fixed a bug where the status code of a successful Triple Collocation run was still set to -1 ("unknown error"). (PR https://github.com/TUW-GEO/pytesmo/pull/301)
- Python
Published by wpreimes almost 3 years ago
pytesmo - v0.15.0
- fixing setting of status code for bootstrapped triple collocation (PR
#285 <https://github.com/TUW-GEO/pytesmo/pull/285>_) - Exclude netCDF4 at version 1.6.2 due to bug when writing strings with zlib compression (PR
#288 <https://github.com/TUW-GEO/pytesmo/pull/288>_) - added test for datamanagerfailed (PR
#287 <https://github.com/TUW-GEO/pytesmo/pull/287>_) read_tsis not longer used in pytesmo (PR#289 <https://github.com/TUW-GEO/pytesmo/pull/289>_)- support for
max_distkeyword in validation framework to limit comparisons to close data points (PR#291 <https://github.com/TUW-GEO/pytesmo/pull/291>_) - Reimplementation of CDF matching (PR
#259 <https://github.com/TUW-GEO/pytesmo/pull/259>). This removed all other implementations, i.e. ``lincdfmatchandcdfbetamatch. These now are either removed (lincdfmatch), or point to the new implementation (cdfbeta_match``)
- Python
Published by wpreimes about 3 years ago
pytesmo - v0.14.0
- fixed bugs in resamplemean (PR
#262 <https://github.com/TUW-GEO/pytesmo/pull/262>) - Integration tests with new ISMN Interface (PR
#263 <https://github.com/TUW-GEO/pytesmo/pull/263>_) - Add option to Validation Framework to ignore errors in
Validation.calc()(PR#263 <https://github.com/TUW-GEO/pytesmo/pull/263>_) - ipynb files from docs/examples are now also used as (optional) tests (PR
#263 <https://github.com/TUW-GEO/pytesmo/pull/263>_) yapffor code formatting (see developers guide) (Fix #248, PR#263 <https://github.com/TUW-GEO/pytesmo/pull/263>_)- validation framework option to force dataset combinations that include reference dataset updated (PR
#265 <https://github.com/TUW-GEO/pytesmo/pull/265>_) - Added
TimestampAdapterto the validation framework to deal with datasets that have different date/time specification fields (PR#268 <https://github.com/TUW-GEO/pytesmo/pull/268>_)
- Python
Published by wpreimes about 4 years ago
pytesmo - v0.11.0
Analytical and bootstrapping confidence intervals for metrics (PR #206). This includes some changes to the existing implementations (all old implementations are still available, but deprecated)
- all pairwise metric functions take two arrays as input and return a single value
- the correlation metrics (
pearsonr,spearmanr,kendalltau) have new versionspearson_r,spearman_r, andkendall_tauwhich only return the correlation value, but not the p-value. The old functions have been deprecated. For calculating correlation + p-value, it is advised to usescipy.stats.pearsonr,scipy.stats.spearmanr, andscipy.stats.kendalltau. Instead of p-values, confidence intervals for the correlation coefficients could be obtained with::
r, lower, upper = withanalyticalci(pearsonr, x, y) - ``pytesmo.metrics.tcolerror
andpytesmo.metrics.tcolsnrhave been deprecated. Usepytesmo.metrics.tcolmetricsinstead (which is simply a renaming oftcolsnr). -pytesmo.metrics.msehas been deprecated. There is a new, much faster implementation available (pytesmo.metrics.msedecomposition). Individual values of the components can be calculated withpytesmo.metrics.mse,pytesmo.metrics.msecorr,pytesmo.metrics.msebias,pytesmo.metrics.mse_var``.Removed dependency on deprecated Numpy API
added mean resampling in temporal collocation
updated to
ascatversion 2.0
- Python
Published by wpreimes about 5 years ago
pytesmo - v0.9.1
- Include more combinations in validation framework, raise error if n < n_datasets
n_wise_applynow can handle (drop) nans in a passed data frame correctly.- TC metrics calculator has now option to calculate metrics for reference
- Fix deprecation warnings in anomaly adapter (Issue #198)
- Change combinations created by val framework, catch cases where scaling ref not in combinations (Issue #187)
- Python
Published by wpreimes almost 6 years ago
pytesmo - v0.9
- Update pyscaffold v3.2.3
- Rolling Prearson's R and RMSD metrics calculator
- New results manager to handle rolling metrics
- Add deprecation warning for colormaps module
- Move timedate module to cadati, import from there
- Filter warnings in places where they are safe to ignore and not caused by pytesmo
- Update Docs and ipython notebooks
- Python
Published by wpreimes almost 6 years ago
pytesmo - v0.8
- Update Triple Collocation metrics and metrics caluclator
- Update metrics apply function, use dictionaries instead of dataframe for results
- Remove io module and grids.grid.py and grids.netcdf.py modules
- Move resampling module to repurpose package (https://github.com/TUW-GEO/repurpose)
- Documentation updates
- Python
Published by wpreimes over 6 years ago
pytesmo - v0.7.1
- Change naming convention for Intercomparison metrics calculator results
- Use kdtree from pykdtree instead of scipy (faster)
- Add MetadataMetrics to metrics calculator
- Remove pybufr-ecmwf, use generic test data for testing spatial resampling
- Python
Published by tracyscanlon almost 7 years ago
pytesmo - v0.7.0
- Add option for filling no data values to moving average
- Add option for minimum observations to moving average
- Default behavior of climatology calculation will now fill nodata values Nothing is changing if there are no nodata values in the time series
- Python
Published by cpaulik about 7 years ago
pytesmo - v0.6.11
- Add more metrics calculators
- Remove pytesmo.io.ismn module and move it to the ismn package
- Update tests for ascat v1.0 package
- Rename arguments for metrics functions to be more general
- Split linreg scaling function to determine and apply corrections separately
- Compatible with Python 3.7 on Windows
- Python
Published by cpaulik about 7 years ago
pytesmo - v0.6.8
- Adapt validation framework examples to new ASCAT package version.
- Adapt ERS reader to new ASCAT package version.
- Make validation framework work with datasets that contain NaN columns.
- Make validation framework work with pygeobase.object_base.TS objects and subclasses.
- Add scaler classes to the validation framework making it possible to use e.g. stored CDF parameters during validation.
- ensure_iterable does no longer take a single string as an iterable. We want to keep the string as one object.
- Python
Published by cpaulik almost 9 years ago
pytesmo -
v0.6.1, 2017-01-13
- Add return_clim keyword to anomaly calculation. Useful for getting both anomaly and climatology in one pandas.DataFrame. Also used in time series anomaly plot.
- Fix bug in julian2date which led to negative microseconds in some edge cases.
- Python
Published by cpaulik over 9 years ago
pytesmo - Bye Bye ASCAT readers and small bugfixes.
- Moved the ASCAT readers to the ascat package. The functionality is the same, just replace
import pytesmo.io.sat.ascatbyimport ascatand everything should work the same as before. - The H07 reader now returns also ssm mean as a value between 0 and 100. Before it was between 0 and 1 and inconsistent with the other ssm values.
- Fix small bug in julian date calculation and add tests for it.
- Add hamming window to resample module
- Python
Published by cpaulik almost 10 years ago
pytesmo - Version 0.5.2 - Bugfix and performance improvements
- Fix bugs when the validation framework encountered empty datasets for various reasons.
- Add dataset adapters for masking and anomaly calculation.
- Improve performance of moving average calculation and ISMN readers.
- ISMN readers are approx. an order of magnitude faster now.
- Python
Published by cpaulik about 10 years ago
pytesmo - Small Bugfixes, and refactoring
- Fix bug in jobs argument passing to Validation class.
- Add support to use a pre initialized DataManager instance in the Validation class.
- Add support for per dataset reading method names in the DataManager. This
relaxes the assumption that every dataset has a
read_tsmethod.
- Python
Published by cpaulik about 10 years ago
pytesmo - Improved validation framework and scaling module
- Fix bug in temporal resampling if input was a pandas.Series
- Major refactoring of validation framwork. Please see updated documentation and
example for detailed changes. The most important breaking changes are:
- 'type' is no longer used in the dataset dictionary.
- the temporal matcher does no longer need to be specified since a reasonable default was developed that should handle most cases
- metrics calculators are now given as dictionaries of functions. Please see the docs for an explanation and an example.
- cellbasedjobs keyword was removed in favor of a more general definition of jobs.
New features are the possibility to use unrelated masking datasets and the possibility to temporally match any number of datasets and give them in sets of k datasets to multiple metric calculators. - Changes in the scaling module, escpecially CDF matching. The new CDF scaling module is more modular and does not make any assumptions about how unique the percentiles for the CDF matching have to be. CDF matching now returns NaN values if non unique percentiles are in the data. There are new functions that rescale based on pre-calculated percentiles so these can be used if the user wants to make sure that the percentiles are unique before matching.
- Python
Published by cpaulik about 10 years ago
pytesmo - Improvements and slight interface changes
- Fix bug in validation framework due to error prone string formatting in warnings.
- Remove grid functionality. Use pygeogrids from now on.
- Fix bug in moving average calculation when input had size 1.
- Add recursive calculation of Pearson correlation coefficent.
- Change H-SAF reading interface to use pygeobase consistently. This changes the
interface slightly as the
read_imgmethod is now called justread - H07 reader now returns more variables.
- Resampling interface now respects dtype of input data.
- Improvements in ISMN plotting interface make it possible to use the plot not only show it.
- Python
Published by cpaulik about 10 years ago
pytesmo - Climatology calculation fixes
- make sure that climatologies are always 366 elements
- add new options to climatology calculation for filling NaN values
- add option to climatology calculation for wraparound before the smoothing
- Python
Published by cpaulik about 10 years ago
pytesmo - v0.3.5
- fix bug in anomaly calculation that occurred when the climatology series had a name already
- add option in anomaly calculation to respect leap years during matching
- improve testing of scaling functions
- add linear CDF scaling based on stored percentiles
- add utility function for MATLAB like percentile calculation
pytesmo.utils.ml_percentile - add utility function for making sure elements in an array are unique by
using iterative interpolation
pytesmo.utils.interp_uniq
- Python
Published by cpaulik over 10 years ago
pytesmo - v0.3.3
- add option to temporal resampling to exclude window boundaries
- fix #48 by reintroducting netcdf imports
- fix #60 by importing correctly from pygeogrids
- fix #56 by allowing readbulk keyword for ASCATSSM
- fix #58 by using cKDTree keyword if available
- lookup table indexing fixed, see #59
- Python
Published by cpaulik almost 11 years ago
pytesmo -
- hotfix for temporal resampling problem when time series where of unequal lenghts
- Python
Published by cpaulik almost 11 years ago
pytesmo -
- added validation framework and example on how to use it
- fix bug (issue #51) in temporal matching
- added test data as git submodule
- Python
Published by cpaulik almost 11 years ago
pytesmo - v0.3.0
This release adds several new features, first among them Python 3 support.
Changelog
- added calculation of pearson R confidence intervals based on fisher z transform
- ISMN reader can now get the data coverage for stations and networks
- ISMN interface can now be restricted to a list of networks
- added Python3 support
- moved grid functionality to pygeogrids package, pytesmo grids are deprecated and will be removed in future releases
- include triple collocation example and improve documentation see issue #24
- Python
Published by cpaulik about 11 years ago