CHANGELOG.md

Change Log

v0.20.0 (2024 Sep 28)

New features

• Add optimized simultaneous ECDF confidence bands (2368)
• Add support for setting groups with idata[group] (2374)

Maintenance and fixes

• Make dm-tree and optional dependency (2379)
• Fix bug in psislw modifying input inplace (2377)
• Fix behaviour of two dimensional KDE plot with recent matplotlib releases (2383)
• Make defaults in plot_compare more intuitive (2388)

Documentation

• Added extensions of virtual environments in .gitignore (2371)
• Fixed the issue in the Contribution References Documentation (2369)
• Improve docstrings for loo and waic (2366)

v0.19.0 (2024 Jul 19)

New features

• Use revised Pareto k threshold (2349)
• Added arguments ci_prob, eval_points, rvs, and random_state to plot_ecdf (2316)
• Deprecated rcParam stats.hdi_prob and replaced with stats.ci_prob (2316)
• Expose features from arviz-base, arviz-stats and arviz-plots as arviz.preview submodule (2361)

Maintenance and fixes

• Ensure support with numpy 2.0 (2321)

• Update testing strategy to include an environment without optional dependencies and an environment with scientific python nightlies (2321)

• Address bokeh related deprecations (2362)

• Fix legend overwriting issue in plot_trace (2334)

Deprecation

• Support for arrays and DataArrays in plot_khat has been deprecated. Only ELPDdata will be supported in the future (2349)
• Removed arguments values2, fpr, pointwise, and pit in plot_ecdf (2316)

v0.18.0 (2024 Apr 4)

New features

• Add new example data rugby_field and update rugby example data (2322)
• Support for pytrees and robust to nested dictionaries. (2291)
• Add .close method to InferenceData (2338)

Maintenance and fixes

• Fix deprecation warnings in multiple dependencies (2329, 2332 and 2333)

Deprecation

• Removed arguments values2, fpr, pointwise, npoints, and pit in plot_ecdf (2316)

Documentation

v0.17.1 (2024 Mar 13)

Maintenance and fixes

• Fix deprecations introduced in latest pandas and xarray versions, and prepare for numpy 2.0 ones (2315))
• Refactor ECDF code (2311)
• Fix plot_forest when Numba is installed (2319)

v0.17.0 (2023 Dec 22)

New features

• Add prior sensitivity diagnostic psens (2093)
• Add filter_vars functionality to InfereceData.to_dataframemethod (2277)

Maintenance and fixes

• Update requirements: matplotlib>=3.5, pandas>=1.4.0, numpy>=1.22.0 (2280)
• Fix behaviour of plot_ppc when dimension order isn't chain, draw, ... (2283)
• Avoid repeating the variable name in plot_ppc, plot_bpv, plot_loo_pit... when repeated. (2283)
• Add support for the latest CmdStanPy. (2287)
• Fix import error on windows due to missing encoding argument (2300)
• Add __delitem__ method to InferenceData (2292)

Documentation

• Improve the docstring of psislw (2300)

• Rerun the quickstart and working with InferenceData notebooks (2300)

• Several fixes in plot_ppc docstring (2283)

v0.16.1 (2023 Jul 18)

Maintenance and fixes

• Fix Numba deprecation errors and incorrect nopython usage (2268)

Documentation

• Rerun Numba notebook

v0.16.0 (2023 Jul 13)

New features

• Add InferenceData<->DataTree conversion functions (2253)
• Bayes Factor plot: Use arviz's kde instead of the one from scipy (2237)
• InferenceData objects can now be appended to existing netCDF4 files and to specific groups within them (2227)
• Added facade functions az.to_zarr and az.from_zarr (2236)

Maintenance and fixes

• Replace deprecated np.product with np.prod (2249)
• Fix numba deprecation warning (2246)
• Fixes for creating numpy object array (2233 and 2239)
• Adapt histograms generated by plot_dist to input dtype (2247)

v0.15.1 (2023 Mar 06)

New features

Maintenance and fixes

• Fix memory usage and improve efficiency in from_emcee (2215)
• Lower pandas version needed (2217)

Deprecation

Documentation

• Update documentation for various plots (2208)

v0.15.0 (2023 Feb 19)

New features

• Adds Savage-Dickey density ratio plot for Bayes factor approximation. (2037, 2152)
• Add CmdStanPySamplingWrapper and PyMCSamplingWrapper classes (2158)
• Changed dependency on netcdf4-python to h5netcdf (2122)

Maintenance and fixes

• Fix reloo outdated usage of ELPDData (2158)
• plot_bpv smooth discrete data only when computing u_values (2179)
• Fix bug when beanmachine objects lack some fields (2154)
• Fix gap for plot_trace with option kind="rank_bars" (2180)
• Fix plot_lm unsupported usage of np.tile (2186)
• Update _z_scale to work with SciPy 1.10 (2186)
• Fix bug in BaseLabeller when combining with with NoVarLabeller (2200)

Deprecation

Documentation

• Add PyMC and CmdStanPy sampling wrapper examples (2158)
• Fix docstring for plot_trace chain_prop and compact_prop parameters (2176)
• Add video of contributing to ArviZ webinar in contributing guide (2184)

v0.14.0 (2022 Nov 15)

New features

• Add weight_predictions function to allow generation of weighted predictions from two or more InfereceData with posterior_predictive groups and a set of weights (2147)
• Add Savage-Dickey density ratio plot for Bayes factor approximation. (2037, [2152](#2152
• Adds rug plot for observed variables to plot_ppc. (2161)

Maintenance and fixes

• Fix dimension ordering for plot_trace with divergences (2151)

v0.13.0 (2022 Oct 22)

New features

• Add side argument to plot_violin to allow single-sided violin plots (1996)
• Added support for Bean Machine via the function from_beanmachine. (2107
• Add support for warmup samples in from_pystan for PyStan 3. (2132

Maintenance and fixes

• Add exception in az.plot_hdi for x of type np.datetime64 and smooth=True (2016)
• Change ax.plot usage to ax.scatter in plot_pair (1990)
• Example data has been moved to the arviz_example_data repository and is now included using git subtree. (2096 and 2105)
• Bokeh kde contour plots started to use contourpy package (2104)
• Update default Bokeh markers for rcparams (2104)
• Correctly (re)order dimensions for bfmi and plot_energy (2126)
• Fix bug with the dimension order dependency (2103)
• Add testing module for labeller classes (2095)
• Skip compression for object dtype while creating a netcdf file (2129)
• Fix issue in dim generation when default dims are present in user inputed dims (2138)
• Save InferenceData level attrs to netcdf and zarr (2131)
• Update tests and docs for updated example data (2137)
• Copy coords before modifying in ppcplot (2160)

Deprecation

• Removed fill_last, contour and plot_kwargs arguments from plot_pair function (2085)

Documentation

• Add translation overview to contributing guide (2041)
• Improve how to release page (2144)

v0.12.1 (2022 May 12)

New features

• Add stat_focus argument to arviz.summary (1998)

Maintenance and fixes

• psislw now smooths log-weights even when shape is lower than 1/3(2011)
• Fixes from_cmdstanpy, handles parameter vectors of length 1 (2023)
• Fix typo in BaseLabeller that broke NoVarLabeller (2018)

Documentation

• Adding plotting guides (2025)
• Update links to use new domain (2013)

v0.12.0 (2022 Mar 23)

New features

• Add new convenience function arviz.extract_dataset (1725)
• Add combine_dims argument to several functions (1676)
• [experimental] Enable dask chunking information to be passed to InferenceData.from_netcdf with regex support (1749)
• Allow kwargs to customize appearance of the mean in plot_lm
• Add dict option to from_cmdstan log_likelihood parameter (as in from_pystan)
• Unify model comparison API. Both plot_compare, plot_elpd can now take dicts of InferenceData or ELPDData (1690)
• Change default for rcParam stats.ic_pointwise to True (1690)
• Add new plot type: plot_ecdf (1753)

Maintenance and fixes

• Drop Python 3.6 support (1430)
• Bokeh 3 compatibility. (1919)
• Remove manual setting of 2d KDE limits (1939)
• Pin to bokeh<3 version (1954)
• Fix legend labels in plot_ppc to reflect prior or posterior. (1967)
• Change DataFrame.append to pandas.concat (1973)
• Fix axis sharing behaviour in plot_pair. (1985)
• Fix parameter duplication problem with PyStan (1962)
• Temporarily disable pyjags tests (1963)
• Fix tuple bug in coords (1695)
• Fix extend 'right' join bug (1718)
• Update attribute handling for InferenceData (1357)
• Fix R2 implementation (1666)
• Added warning message in plot_dist_comparison() in case subplots go over the limit (1688)
• Fix coord value ignoring for default dims (2001)
• Fixed plot_posterior with boolean data (1707)
• Fix min_ess usage in plot_ess (2002)

Deprecation

Documentation

• Fixed typo in Forestplot documentation
• Restructured contributing section and added several new pages to help contributing to docs (1903)

v0.11.4 (2021 Oct 3)

Maintenance and fixes

• Fix standard deviation code in density utils by replacing it with np.std. (1833)

v0.11.3 (2021 Oct 1)

New features

• Change order of regularization in psislw (1943)
• Added labeller argument to enable label customization in plots and summary (1201)
• Added arviz.labels module with classes and utilities (1201 and 1605)
• Added probability estimate within ROPE in plot_posterior (1570)
• Added rope_color and ref_val_color arguments to plot_posterior (1570)
• Improved retrieving or pointwise log likelihood in from_cmdstanpy, from_cmdstan and from_pystan (1579 and 1599)
• Added interactive legend to bokeh forestplot (1591)
• Added interactive legend to bokeh ppcplot (1602)
• Add more helpful error message for HDF5 problems reading InferenceData from NetCDF (1637)
• Added data.log_likelihood, stats.ic_compare_method and plot.density_kind to rcParams (1611)
• Improve error messages in stats.compare(), and var_name parameter. (1616)
• Added ability to plot HDI contours to plot_kde with the new hdi_probs parameter. (1665)
• Add dtype parsing and setting in all Stan converters (1632)
• Add option to specify colors for each element in ppc_plot (1769)

Maintenance and fixes

• Fix conversion for numpyro models with ImproperUniform latent sites (1713)
• Fixed conversion of Pyro output fit using GPUs (1659)
• Enforced using coordinate values as default labels (1201)
• Integrate index_origin with all the library (1201)
• Fix pareto k threshold typo in reloo function (1580)
• Preserve shape from Stan code in from_cmdstanpy (1579)
• Updated from_pystan converters to follow schema convention (1585
• Used generator instead of list wherever possible (1588)
• Correctly use chain index when constructing PyMC3 DefaultTrace in from_pymc3 (1590)
• Fix bugs in CmdStanPyConverter (1595 and 1598)
• Fix c argument in plot_khat (1592)
• Fix ax argument in plot_elpd (1593)
• Remove warning in stats.py compare function (1607)
• Fix ess/rhat plots in plot_forest (1606)
• Fix from_numpyro crash when importing model with thinning=x for x > 1 (1619)
• Upload updated mypy.ini in ci if mypy copilot fails (1624)
• Added type checking to raise an error whenever InferenceData object is passed using io_pymc3's trace argument (1629)
• Fix xlabels in plot_elpd (1601)
• Renamed sample dim to __sample__ when stacking chain and draw to avoid dimension collision (1647)
• Removed the circular argument in plot_dist in favor of is_circular (1681)
• Fix legend argument in plot_separation (1701)
• Removed testing dependency on http download for radon dataset (1717)
• Fixed plot_kde to take labels with kwargs. (1710)
• Fixed xarray related tests. (1726)
• Fix Bokeh deprecation warnings (1657)
• Fix credible inteval percentage in legend in plot_loo_pit (1745)
• Arguments filter_vars and filter_groups now raise ValueError if illegal arguments are passed (1772)
• Remove constrained_layout from arviz rcparams (1764)
• Fix plot_elpd for a single outlier (1787)

Deprecation

• Deprecated index_origin and order arguments in az.summary (1201)

Documentation

• Language improvements of the first third of the "Label guide" (1699)
• Added "Label guide" page and API section for arviz.labels module (1201 and 1635)
• Add "Installation guide" page to the documentation (1551)
• Improve documentation on experimental SamplingWrapper classes (1582)
• Added example to plot_hdi using Inference Data (1615)
• Removed geweke diagnostic from numba user guide (1653)
• Restructured the documentation sections to improve community and about us information (1587)

v0.11.2 (2021 Feb 21)

New features

• Added to_zarr and from_zarr methods to InferenceData (1518)
• Added confidence interval band to auto-correlation plot (1535)

Maintenance and fixes

• Updated CmdStanPy converter form compatibility with versions >=0.9.68 (1558 and (1564)
• Updated from_cmdstanpy, from_cmdstan, from_numpyro and from_pymc3 converters to follow schema convention (1550, 1541, 1525 and 1555)
• Fix calculation of mode as point estimate (1552)
• Remove variable name from legend in posterior predictive plot (1559)
• Added significant digits formatter to round rope values (1569)
• Updated from_cmdstan. csv reader, dtype problem fixed and dtype kwarg added for manual dtype casting (1565)

Deprecation

• Removed Geweke diagnostic (1545)
• Removed credible_interval and include_circ arguments (1548)

Documentation

• Added an example for converting dataframe to InferenceData (1556)
• Added example for coords argument in plot_posterior docstring (1566)

v0.11.1 (2021 Feb 2)

Maintenance and fixes

• Fixed ovelapping titles and repeating warnings on circular traceplot (1517)
• Removed repetitive variable names from forest plots of multivariate variables (1527)
• Fixed regression in plot_pair labels that prevented coord names to be shown when necessary (1533)

Documentation

• Use tabs in ArviZ example gallery (1521)

v0.11.0 (2021 Dec 17)

New features

• Added to_dataframe method to InferenceData (1395)
• Added __getitem__ magic to InferenceData (1395)
• Added group argument to summary (1408)
• Add ref_line, bar, vlines and marker_vlines kwargs to plot_rank (1419)
• Add observed argument to (un)plot observed data in plot_ppc (1422)
• Add support for named dims and coordinates with multivariate observations (1429)
• Add support for discrete variables in rank plots (1433) and loo_pit (1500)
• Add skipna argument to plot_posterior (1432)
• Make stacking the default method to compute weights in compare (1438)
• Add copy() method to InferenceData class. (1501).

Maintenance and fixes

• prevent wrapping group names in InferenceData repr_html (1407)
• Updated CmdStanPy interface (1409)
• Remove left out warning about default IC scale in compare (1412)
• Fixed a typo found in an error message raised in distplot.py (1414)
• Fix typo in loo_pit extraction of log likelihood (1418)
• Have from_pystan store attrs as strings to allow netCDF storage (1417)
• Remove ticks and spines in plot_violin (1426 )
• Use circular KDE function and fix tick labels in circular plot_trace (1428)
• Fix pair_plot for mixed discrete and continuous variables (1434)
• Fix in-sample deviance in plot_compare (1435)
• Fix computation of weights in compare (1438)
• Avoid repeated warning in summary (1442)
• Fix hdi failure with boolean array (1444)
• Automatically get the current axes instance for plt_kde, plot_dist and plot_hdi (1452)
• Add grid argument to manually specify the number of rows and columns (1459)
• Switch to compact=True by default in our plots (1468)
• plot_elpd, avoid modifying the input dict (1477)
• Do not plot divergences in plot_trace when kind=rank_vlines or kind=rank_bars (1476)
• Allow ignoring observed argument of pymc3.DensityDist in from_pymc3 (1495)
• Make from_pymc3 compatible with theano-pymc 1.1.0 (1495)
• Improve typing hints (1491, (1492, (1493, (1494 and (1497)

Deprecation

• plot_khat deprecate annotate argument in favor of threshold. The new argument accepts floats (1478)

Documentation

• Reorganize documentation and change sphinx theme (1406)
• Switch to MyST and MyST-NB for markdown/notebook parsing in docs (1406)
• Incorporated input_core_dims in hdi and plot_hdi docstrings (1410)
• Add documentation pages about experimental SamplingWrappers usage (1373)
• Show example titles in gallery page (1484)
• Add sample_stats naming convention to the InferenceData schema (1063)
• Extend api documentation about InferenceData methods (1338)

Experimental

• Modified SamplingWrapper base API (1373)

v0.10.0 (2020 Sep 24)

New features

• Added InferenceData dataset containing circular variables (1265)
• Added is_circular argument to plot_dist and plot_kde allowing for a circular histogram (Matplotlib, Bokeh) or 1D KDE plot (Matplotlib). (1266)
• Added to_dict method for InferenceData object (1223)
• Added circ_var_names argument to plot_trace allowing for circular traceplot (Matplotlib) (1336)
• Ridgeplot is hdi aware. By default displays truncated densities at the specified hdi_prop level (1348)
• Added plot_separation (1359)
• Extended methods from xr.Dataset to InferenceData (1254)
• Add extend and add_groups to InferenceData (1300 and 1386)
• Added __iter__ method (.items) for InferenceData (1356)
• Add support for discrete variables in plot_bpv (#1379)

Maintenance and fixes

• Automatic conversion of list/tuple to numpy array in distplot (1277)
• plot_posterior fix overlap of hdi and rope (1263)
• plot_dist bins argument error fixed (1306)
• Improve handling of circular variables in az.summary (1313)
• Removed change of default warning in ELPDData string representation (1321)
• Update radon example dataset to current InferenceData schema specification (1320)
• Update from_cmdstan functionality and add warmup groups (1330 and 1351)
• Restructure plotting code to be compatible with mpl>=3.3 (1312 and 1352)
• Replaced _fast_kde() with kde() which now also supports circular variables via the argument circular (1284).
• Increased from_pystan attrs information content (1353)
• Allow plot_trace to return and accept axes (1361)
• Update diagnostics to be on par with posterior package (1366)
• Use method="average" in scipy.stats.rankdata (1380)
• Add more plot_parallel examples (1380)
• Bump minimum xarray version to 0.16.1 (1389
• Fix multi rope for plot_forest (1390)
• Bump minimum xarray version to 0.16.1 (1389)
• from_dict will now store warmup groups even with the main group missing (1386)
• increase robustness for repr_html handling (1392)

v0.9.0 (2020 June 23)

New features

• loo-pit plot. The kde is computed over the data interval (this could be shorter than [0, 1]). The HDI is computed analytically (1215)
• Added html_repr of InferenceData objects for jupyter notebooks. (1217)
• Added support for PyJAGS via the function from_pyjags. (1219 and 1245)
• from_pymc3 can now retrieve coords and dims from model context (1228, 1240 and 1249)
• plot_trace now supports multiple aesthetics to identify chain and variable shape and support matplotlib aliases (1253)
• plot_hdi can now take already computed HDI values (1241)
• plot_bpv. A new plot for Bayesian p-values (1222)

Maintenance and fixes

• Include data from MultiObservedRV to observed_data when using from_pymc3 (1098)
• Added a note on plot_pair when trying to use plot_kde on InferenceData objects. (1218)
• Added log_likelihood argument to from_pyro and a warning if log likelihood cannot be obtained (1227)
• Skip tests on matplotlib animations if ffmpeg is not installed (1227)
• Fix hpd bug where arguments were being ignored (1236)
• Remove false positive warning in plot_hdi and fixed matplotlib axes generation (1241)
• Change the default zorder of scatter points from 0 to 0.6 in plot_pair (1246)
• Update get_bins for numpy 1.19 compatibility (1256)
• Fixes to rug, divergences arguments in plot_trace (1253)

Deprecation

• Using from_pymc3 without a model context available now raises a FutureWarning and will be deprecated in a future version (1227)
• In plot_trace, chain_prop and compact_prop as tuples will now raise a FutureWarning (1253)
• hdi with 2d data raises a FutureWarning (1241)

Documentation

• A section has been added to the documentation at InferenceDataCookbook.ipynb illustrating the use of ArviZ in conjunction with PyJAGS. (1219 and 1245)
• Fixed inconsistent capitalization in plot_hdi docstring (1221)
• Fixed and extended InferenceData.map docs (1255)

v0.8.3 (2020 May 28)

Maintenance and fixes

• Restructured internals of from_pymc3 to handle old pymc3 releases and sliced traces and to provide useful warnings (1211)

v0.8.2 (2020 May 25)

Maintenance and fixes

• Fixed bug in from_pymc3 for sliced pymc3.MultiTrace input (1209)

v0.8.1 (2020 May 24)

Maintenance and fixes

• Fixed bug in from_pymc3 when used with PyMC3<3.9 (1203)
• Fixed enforcement of rcParam plot.max_subplots in plot_trace and plot_pair (1205)
• Removed extra subplot row and column in in plot_pair with marginal=True (1205)
• Added latest PyMC3 release to CI in addition to using GitHub default branch (1207)

Documentation

• Use dev as version indicator in online documentation (1204)

v0.8.0 (2020 May 23)

New features

• Stats and plotting functions that provide var_names arg can now filter parameters based on partial naming (filter="like") or regular expressions (filter="regex") (see 1154).
• Add true_values argument for plot_pair. It allows for a scatter plot showing the true values of the variables (1140)
• Allow xarray.Dataarray input for plots.(1120)
• Revamped the hpd function to make it work with mutidimensional arrays, InferenceData and xarray objects (1117)
• Skip test for optional/extra dependencies when not installed (1113)
• Add option to display rank plots instead of trace (1134)
• Add out-of-sample groups (predictions and predictions_constant_data) to from_dict (1125)
• Add out-of-sample groups (predictions and predictions_constant_data) and constant_data group to pyro and numpyro translation (1090, 1125)
• Add num_chains and pred_dims arguments to from_pyro and from_numpyro (1090, 1125)
• Integrate jointplot into pairplot, add point-estimate and overlay of plot kinds (1079)
• New grayscale style. This also add two new cmaps cet_grey_r and cet_grey_r. These are perceptually uniform gray scale cmaps from colorcet (linear_grey_10_95_c0) (1164)
• Add warmup groups to InferenceData objects, initial support for PyStan (1126) and PyMC3 (1171)
• hdi_prob will not plot hdi if argument hide is passed. Previously credible_interval would omit HPD if None was passed (1176)
• Add stats.ic_pointwise rcParam (1173)
• Add var_name argument to information criterion calculation: compare, loo and waic (1173)

Maintenance and fixes

• Fixed plot_pair functionality for two variables with bokeh backend (1179)
• Changed diagonal argument for marginals and fixed point_estimate_marker_kwargs in plot_pair (1167)
• Fixed behaviour of credible_interval=None in plot_posterior (1115)
• Fixed hist kind of plot_dist with multidimensional input (1115)
• Fixed TypeError in transform argument of plot_density and plot_forest when InferenceData is a list or tuple (1121)
• Fixed overlaid pairplots issue (1135)
• Update Docker building steps (1127)
• Updated benchmarks and moved to asv_benchmarks/benchmarks (1142)
• Moved _fast_kde, _fast_kde_2d, get_bins and _sturges_formula to numeric_utils and get_coords to utils (1142)
• Rank plot: rename axes argument to ax (1144)
• Added a warning specifying log scale is now the default in compare/loo/waic functions (1150).
• Fixed bug in plot_posterior with rcParam "plot.matplotlib.show" = True (1151)
• Set fill_last argument of plot_kde to False by default (1158)
• plot_ppc animation: improve docs and error handling (1162)
• Fix import error when wrapped function docstring is empty (1192)
• Fix passing axes to plot_density with several datasets (1198)

Deprecation

• hpd function deprecated in favor of hdi. credible_interval argument replaced by hdi_probthroughout with exception of plot_loo_pit (1176)
• plot_hpd function deprecated in favor of plot_hdi. (1190)

Documentation

• Add classifier to setup.py including Matplotlib framework (1133)
• Image thumbs generation updated to be Bokeh 2 compatible (1116)
• Add new examples for plot_pair (1110)
• Add examples for psislw and r2_score (1129)
• Add more examples on 2D kde customization (1158)
• Make docs compatible with sphinx3 and configure intersphinx for better references (1184)
• Extend the developer guide and add it to the website (1184)

v0.7.0 (2020 Mar 2)

New features

• Add out-of-sample predictions (predictions and predictions_constant_data groups) to pymc3, pystan, cmdstan and cmdstanpy translations (983, 1032 and 1064)
• Started adding pointwise log likelihood storage support (794, 1044 and 1064)
• Add out-of-sample predictions (predictions and predictions_constant_data groups) to pymc3 and pystan translations (983 and 1032)
• Started adding pointwise log likelihood storage support (794, 1044)
• Violinplot: rug-plot option (997)
• Integrated rcParams plot.point_estimate (994), stats.ic_scale (993) and stats.credible_interval (1017)
• Added group argument to plot_ppc (1008), plot_pair (1009) and plot_joint (1012)
• Added transform argument to plot_trace, plot_forest, plot_pair, plot_posterior, plot_rank, plot_parallel, plot_violin,plot_density, plot_joint (1036)
• Add skipna argument to hpd and summary (1035)
• Added transform argument to plot_trace, plot_forest, plot_pair, plot_posterior, plot_rank, plot_parallel, plot_violin,plot_density, plot_joint (1036)
• Add marker functionality to bokeh_plot_elpd (1040)
• Add ridgeplot_quantiles argument to plot_forest (1047)
• Added the functionality interactive legends for bokeh plots of densityplot, energyplot and essplot (1024)
• New defaults for cross validation: loo (old: waic) and log -scale (old: deviance -scale) (1067)
• Experimental Feature: Added arviz.wrappers module to allow ArviZ to refit the models if necessary (771)
• Experimental Feature: Added reloo function to ArviZ (771)
• Added new helper function matplotlib_kwarg_dealiaser (1073)
• ArviZ version to InferenceData attributes. (1086)
• Add log_likelihood argument to from_pymc3 (1082)
• Integrated rcParams for plot.bokeh.layout and plot.backend. (1089)
• Add automatic legends in plot_trace with compact=True (matplotlib only) (1070)
• Updated hover information for plot_pair with bokeh backend (1074)

Maintenance and fixes

• Fixed bug in density and posterior plot bin computation (1049)
• Fixed bug in density plot ax argument (1049)
• Fixed bug in extracting prior samples for cmdstanpy (979)
• Fix erroneous warning in traceplot (989)
• Correct bfmi denominator (991)
• Removed parallel from jit full (996)
• Rename flat_inference_data_to_dict (1003)
• Violinplot: fix histogram (997)
• Convert all instances of SyntaxWarning to UserWarning (1016)
• Fix point_estimate in plot_posterior (1038)
• Fix interpolation hpd_plot (1039)
• Fix io_pymc3.py to handle models with potentials (1043)
• Fix several inconsistencies between schema and from_pymc3 implementation in groups prior, prior_predictive and observed_data (1045)
• Stabilize covariance matrix for plot_kde_2d (1075)
• Removed extra dim in prior data in from_pyro (1071)
• Moved CI and docs (build & deploy) to Azure Pipelines and started using codecov (1080)
• Fixed bug in densityplot when variables differ between models (1096)

Deprecation

• from_pymc3 now requires PyMC3>=3.8

Documentation

• Updated InferenceData schema specification (log_likelihood, predictions and predictions_constant_data groups)
• Clarify the usage of plot_joint (1001)
• Added the API link of function to examples (1013)
• Updated PyStan_schema_example to include example of out-of-sample prediction (1032)
• Added example for concat method (1037)

v0.6.1 (2019 Dec 28)

New features

• Update for pair_plot divergences can be selected
• Default tools follow global (ArviZ) defaults
• Add interactive legend for a plot, if only two variables are used in pairplot

Maintenance and fixes

• Change packaging import from absolute to relative format, explicitly importing version function

v0.6.0 (2019 Dec 24)

New features

• Initial bokeh support.
• ArviZ.jl a Julia interface to ArviZ (@sethaxen )

Maintenance and fixes

• Fully support numpyro (@fehiepsi )
• log_likelihood and observed data from pyro
• improve rcparams
• fix az.concat functionality (@anzelpwj )

Documentation

• distplot docstring plotting example (@jscarbor )

v0.5.1 (2019 Sep 16)

Maintenance and fixes

• Comment dev requirements in setup.py

v0.5.0 (2019 Sep 15)

New features

• Add from_numpyro Integration (811)
• Numba Google Summer of Code additions (https://ban-zee.github.io/jekyll/update/2019/08/19/Submission.html)
• Model checking, Inference Data, and Convergence assessments (https://github.com/OriolAbril/gsoc2019/blob/master/final_work_submission.md)

v0.4.1 (2019 Jun 9)

New features

• Reorder stats columns (695)
• Plot Forest reports ess and rhat by default(685)
• Add pointwise elpd (678)

Maintenance and fixes

• Fix io_pymc3 bug (693)
• Fix io_pymc3 warning (686)
• Fix 0 size bug with pystan (677)

v0.4.0 (2019 May 20)

New features

• Add plot_dist (592)
• New rhat and ess (623)
• Add plot_hpd (611)
• Add plot_rank (625)

Deprecation

• Remove load_data and save_data (625)

v0.3.3 (2019 Feb 23)

New features

• Plot ppc supports multiple chains (526)
• Plot titles now wrap (441)
• plot_density uses a grid (379)
• emcee reader support (550)
• Animations in plot_ppc (546)
• Optional dictionary for stat_funcs in summary (583)
• Can exclude variables in selections with negated variable names (574)

Maintenance and fixes

• Order maintained with xarray_var_iter (557)
• Testing very improved (multiple)
• Fix nan handling in effective sample size (573)
• Fix kde scaling (582)
• xticks for discrete variables (586)
• Empty InferenceData saves consistent with netcdf (577)
• Removes numpy pinning (594)

Documentation

• JOSS and Zenodo badges (537)
• Gitter badge (548)
• Docs for combining InferenceData (590)

v0.3.2 (2019 Jan 15)

New features

• Support PyStan3 (464)
• Add some more information to the inference data of tfp (447)
• Use Split R-hat (477)
• Normalize from_xyz functions (490)
• KDE: Display quantiles (479)
• Add multiple rope support to plot_forest (448)
• Numba jit compilation to speed up some methods (515)
• Add from_dict for easier creation of az.InferenceData objects (524)
• Add stable logsumexp (522)

Maintenance and fixes

• Fix for from_pyro with multiple chains (463)
• Check __version__ for attr (466)
• And exception to plot compare (461)
• Add Docker Testing to travisCI (473)
• fix jointplot warning (478)
• Fix tensorflow import bug (489)
• Rename N_effective to S_effective (505)

Documentation

• Add docs to plot compare (461)
• Add InferenceData tutorial in header (502)
• Added figure to InferenceData tutorial (510)

v0.3.1 (2018 Dec 18)

Maintenance and fixes

• Fix installation problem with release 0.3.0

v0.3.0 (2018 Dec 14)

• First Beta Release