Release of Pastas version 0.12.0

A new version of Pastas is released, 0.12.0. This version includes many improvements to the code, bug fixes, new features. The testing of the code was improved significantly (now on Codacy) to ensure proper functioning of the program.

What's Changed

• Pull groundwater paper update from master by @raoulcollenteur in #123
• Branch onno by @OnnoEbbens in #127
• Pull some changes from master on readme.rst by @raoulcollenteur in #128
• Add WellModel by @dbrakenhoff in #129
• change default parameters for steptrend by @OnnoEbbens in #130
• Solver by @raoulcollenteur in #138
• Use loc instead of at for adding metadata to the oseries dataframe by @OnnoEbbens in #139
• improve solve_models() with tmin/tmax options by @dbrakenhoff in #144
• improve project methods by @dbrakenhoff in #146
• Add tests for pastas.Project by @dbrakenhoff in #147
• Update Master to 0.12.0 by @raoulcollenteur in #148

Full Changelog: v0.11.0...v0.12.0

Release of Pastas version 0.11.0

For this release we focused on fixing bugs and adding tests to the code to improve code quality. This version of Pastas should be mostly compatible with the previous versions of Pastas.

Release of Pastas version 0.10.0

This release adds a couple of new features to pastas, along which a new stressmodel to simulate groundwater recharge (Still work in process) and two new response functions. The example notebooks have been updated and a couple of new ones added.

Category	Explanation
Enhanced	Initial parameters of scaling parameter are based on std
Enhanced	Example notebook are automatically rendered for ReadTheDocs
New	New example notebook with a groundwater well
New	Four Parameters response function added (FourParam)
New	Double Exponential response function added (DoubleExponential)
New	Example notebook with synthetic data and a noisemodel added
New	A new stressmodel for the simulation of recharge is introduced (RechargeModel).

Release of Pastas version 0.9.9

Mostly a bug fix release, with many minor bugs fixed. This version should be mostly backward compatible.

Category	Explanation
Enhanced	Fit_report is now scaled automatically
Enhanced	Bug in calculating the tmax for the response functions fixed
New	Added a utility to get the tmin and tmax where all stresses have values

Release of Pastas version 0.9.8

Pastas version 0.9.8 has been released. This version should be mostly backward compatible with 0.9.7. The focus of this version was on bug fixes and clean up of the model code.

Category	Explanation
Enhanced	the nparam attribute from a stressmodel is now a property.
Enhanced	Warning is provided when NaN-values are removed from residual or simulation series
Enhanced	Pastas version is updated when saving an pastas model loaded from an old file
New Feature	ml.add_stressmodels can now take multiple stressmodels at once
Deprecated	Theis response function has been removed.

Release of Pastas 0.9.7

Release with many new features and a few deprecations. Should be mostly backward compatible but will throw a few warnings for deprecated features.

Category	Explanation
Deprecated	Method "get_tmin_tmax" is replaced by two new methods: "get_tmin" and "get_tmax"
Deprecated	Method "innovations" is replaced by "noise"
Deprecated	Settings argument has been removed from the model init
Enhanced	warmup argument can now also take a string e.g. "1000D", a warmup of 1000 days.
Enhanced	all get_methods of the model class now return pandas.Series
Enhanced	Fit report has been improved
Enhanced	Order of keyword arguments in model class is more consistent
New feature	A new stressmodel to multiply timeseries by a factor is implemented (FactorModel
New Feature	An autocorrelation function for irregular timesteps has been implemented.
New Feature	Durbin-Watson test for autocorrelation has been implemented
New Feature	Ljung-Box test for autocorrelation has been implemented
New Feature	ml.plots.diagnositics is introduced, giving an overview of to diagnose model assumptions

Release of Pastas v0.9.6

Pastas version 0.9.6 has been released! This version includes a large number of bug fixes as well as multiple new cool features. This version should be backward compatible with 0.9.5

Highlights

• Solving with different frequencies is now fully supported throughout Pastas.
• A linear trend and a step trend stressmodel have been added.
• Internals for dealing with indices has been optimized.
• New example notebook on dealing with surface water levels.

Other changes

Category	Description
Bug fix	Model simulate, residuals and noise methods now respect tmin and tmax.
Bug fix	Initial Value of stressmodel is calculated different when meanstress is negative
Enhanced	Improved calculation and added optional keywords for GxG
Enhanced	Internal optimizations of all indices used for simulation
Enhanced	Response function can be calculated for different cutoffs
Enhanced	Initial values are now respected when exporting and importing pas-files
Enhanced	Initial values are now respected in the pas-files
Enhanced	It is now possible to set the log_level, determining the type of log messages that are written to the python interpreter
New Feature	Linear Trend model is now implemented
New Feature	StepModel is now implemented

Release of Pastas v0.9.5

Pastas v0.9.5 has been released. This version should be mostly backward compatible with version 0.9.4 but might give different answers due to a change in the default solver. The kind keyword in all method is deprecated, see other changes below.

Highlights

• It is now possible to fit the constant not as parameter, but after simulation by using the fit_constant argument in the solve method.
• We now use Scipy's Least_squares solver as the default solver, dropping dependency on LmFit (which is still supported and available).
• You can now solve a model without a noisemodel, and use the optimal parameters as initial values when solving with a noisemodel afterwards.

Other Changes

Category	Description
Bug Fix	Parameters bounds are changed when keyword up=False.
Deprecated	The show argument in the plotting methods is deprecated.
Deprecated	The kind argument for TimeSeries is deprecated. A string can now be provided for the settings keyword instead. E.g. settings="prec".
Enhanced	All plotting methods now use the tmin and tmax from the model settings.
Enhanced	Standard error is now reported as a percentage of the optimal value in fit_report for easier interpretation.
Enhanced	Logging system is improved, allowing the user to define which level of log message is printed to the console.
New Examples	A new notebook describing the response functions is added.
New Feature	It is now possible to use the optimal parameters when solving after the model has changed. This makes it possible to first solve without, and then with a noisemodel.
New Feature	The Nash-Sutcliffe fit statistic is added to the Stats module.
New Feature	LeastSquares is now the default solver, based on Scipy's least_squares solver. The dependency on LmFit is dropped.

Next Release
In the next release new stressmodels will be introduced that add linear or step trends.

Release of Pastas v0.9.4

Version v0.9.4 of Pastas is released, with multiple bug fixes and further improvements. This version should be compatible with v0.9.3 without many changes to your scripts.

Highlights:

• Improved fit report after model optimilisation
• Improved plotting methods
• New plotting method to plot the stresses
• Scipy LeastSquares solver now fully supported
• Improved parameter bounds
• Support to import Waterbase waterlevel measurements (RWS)
• Automatic including a Constant and Noisemodel in Models
• Improved support of the pas-file format to save models and projects
• Introduced the runs test to check for autocorrelation

Next Release
For the next release we aim to improve the API, making it more stable and simpler to understand for new users. This includes new examples, test procedures and better documentation. This release is planned for the beginning of March 2018.

Release of Pastas v0.9.3

The version 0.9.3 of PASTAS is released.

NOTE! V0.9.3 is NOT backward compatible with v0.9.2. There are some important API changes, most notably in the naming of the Tseries module, changed to stressmodels to avoid confusion in naming. These names are now fixed to avoid future api-incompatibilities. We are steadily working towards a stable version of pastas with much better backward compatibility.

Highlights:

• Renamed Tseries to Stressmodels
• Noisemodel is automatically added
• introduction of TimeSeries object to handle user provided time series and conversions
• import methods have been refactored to read_knmi, read_dino etc. available from the pastas top-level
• tmin/tmax of solve is used when calculating statistics
• statistics module has been updated. Methods used for a single series are now called as e.g: ps.stats.acf(series)
• significant speed-improvements have been applied, speeding up simulation up to a factor 2
• Pastas Project package is added, allowing dealing with many models efficiently

Next release:
For the next release the focus will be on the statistics package and the project packages, along with some new import methods for other data types. This update will most likely be in late 2018.