v2.1.3

What's Changed

• Add specific docs for the GUI by @lukashergt in #315

Full Changelog: v2.1.2...v2.1.3

v2.1.2

What's Changed

• minor bug fixes by @lukashergt in #314

Full Changelog: v2.1.1...v2.1.2

v2.1.1

What's Changed

• Test for integer axes creation by @yallup in #322

Full Changelog: v2.1.0...v2.1.1

v2.1.0

What's Changed

• add ultranest import by @JohannesBuchner in #313

New Contributors

• @JohannesBuchner made their first contribution in #313

Full Changelog: v2.0.1...v2.1.0

v2.0.1

What's Changed

• remove test_hdf5.h5 after test by @AdamOrmondroyd in #309

Full Changelog: v2.0.0...v2.0.1

v2.0.0-beta.44

What's Changed

• HDF5 read/write functionality by @williamjameshandley in #303

Full Changelog: v2.0.0-beta.43...v2.0.0-beta.44

v2.0.0-beta.43

What's Changed

• Labels fix by @williamjameshandley in #304

Full Changelog: v2.0.0-beta.42...v2.0.0-beta.43

v2.0.0-beta.42

What's Changed

• add python 3.11 to workflows by @AdamOrmondroyd in #305

Full Changelog: v2.0.0-beta.41...v2.0.0-beta.42

v2.0.0-beta.41

What's Changed

• dlogX -> logdX by @williamjameshandley in #306

Full Changelog: v2.0.0-beta.40...v2.0.0-beta.41

v2.0.0

What's Changed

• Pandas 1.1 update by @lukashergt in #115
• nlive calculation bug fix by @williamjameshandley in #119
• logzero masking at prior and likelihood level by @lukashergt in #120
• add importance_sample method to NestedSamples and MCMCSamples by @lukashergt in #122
• importance_sample with inplace=False by @williamjameshandley in #126
• skipna functionality for WeightedDataFrame means and (co)variances by @williamjameshandley in #121
• Added prior and prior_points shortcuts by @EthanCarragher in #130
• Create CI.yml by @williamjameshandley in #138
• Missing weighted functions added to WeightedPandas by @williamjameshandley in #127
• fix MCMCSamples.importance_sample by @lukashergt in #139
• Removal of Python2-compatibility requirements by @williamjameshandley in #123
• Function to merge data sets with weights by @Stefan-Heimersheim in #136
• 1d Confidence Regions by @htjb in #145
• Minor CI improvements by @williamjameshandley in #144
• bugfix for xlim for fastkde plots by @lukashergt in #150
• GUI tests quick fix due to matplotlib 3.4 API change by @lukashergt in #154
• change default edgecolor: match facecolor by @lukashergt in #152
• vmin=0 in 2d histograms by @lukashergt in #157
• optional normalisation by area instead of by maximum by @lukashergt in #155
• Change in behaviour from RuntimeError to RuntimeWarning for invalid nested sampling runs by @williamjameshandley in #159
• auto update limits of derived parameters by @lukashergt in #166
• Upgrade to quantile function arising from pandas 1.3.0 internals change by @lukashergt in #170
• Equally weighted live points by @williamjameshandley in #162
• axlines method to highlight specific parameter values across all subplots by @lukashergt in #168
• add reader for Cobaya's MCMC chains (requires GetDist) by @lukashergt in #167
• Inner ticks by @lukashergt in #153
• Order contour levels from outermost to innermost by @lukashergt in #173
• Fix for plotting with integer labels by @williamjameshandley in #163
• fix axlines and axspans for axes with upper=False by @lukashergt in #175
• patch for getdistreader by @lukashergt in #172
• Copy tex and optionally set label when merging samples by @Stefan-Heimersheim in #177
• adapt to breaking chanes in matplotlib API version 3.5.0 by @lukashergt in #184
• Fixing unexpected behaviour associated with reset_index by @williamjameshandley in #185
• Fix for unsorted logL construction bug by @williamjameshandley in #187
• Fix #189, merge_samples_weighted breaking triangular_sample_compression_2d by @Stefan-Heimersheim in #191
• Allow NestedSamples to take lists as well as numpy arrays as constructors by @williamjameshandley in #190
• Fix to (near) empty phys_live-birth.txt file reading by @williamjameshandley in #186
• Updated for most recent PEP compliant assert statements by @williamjameshandley in #195
• Check for NaNs in logL by @AdamOrmondroyd in #192
• Manual setting of the bandwidth by @lukashergt in #193
• Quick fix c/=c[-1] to c=c/c[-1] by @lukashergt in #206
• WeightedDataFrame plotting by @williamjameshandley in #194
• MCMC plotting by @williamjameshandley in #207
• create parent class Samples for child classes MCMCSamples and NestedSamples by @lukashergt in #209
• remove limits attribute and xmin and xmax kwargs by @lukashergt in #212
• Issue with plot labels by @williamjameshandley in #218
• WeightedPandas index improvements by @williamjameshandley in #198
• Change to reading system by @williamjameshandley in #217
• 100% coverage by @williamjameshandley in #221
• logZ(beta) functionality and logX function by @williamjameshandley in #210
• Have separate ncompress and nplot by @lukashergt in #216
• tex labels in MultiIndex columns by @williamjameshandley in #215
• update gui script by @yallup in #228
• Fix for filenames which contain regular expressions by @williamjameshandley in #231
• Fixes for dropping weights and labels by @williamjameshandley in #230
• fixes for pandas 1.5.0 and matplotlib 3.6.0 updates by @lukashergt in #238
• Fix warnings shown with pytest by @AdamOrmondroyd in #234
• Change figure and axes output handling by @lukashergt in #224
• Updated .readthedocs.yml to be python 3.8 by @williamjameshandley in #247
• reduce CI workflow matrices by @lukashergt in #249
• pass labels argument through when reading chains by @AdamOrmondroyd in #232
• Fix to non-deterministic behaviour by removing long-range side effects by @williamjameshandley in #248
• API hints for existing users by @williamjameshandley in #246
• Perfect nested sampling functionality by @williamjameshandley in #205
• Close figures on teardown by @AdamOrmondroyd in #254
• .loc to avoid warnings by @AdamOrmondroyd in #255
• replace .boxplot()with .plot.box() by @AdamOrmondroyd in #256
• MCMCSamples methods for burn-in removal and Gelman--Rubin statistic by @lukashergt in #258
• Packaging improvements by @williamjameshandley in #259
• matplotlib 3.7.0 moved SubplotBase by @AdamOrmondroyd in #263
• Improved packaging mark 2 by @williamjameshandley in #262
• Improved packaging mark 3 by @williamjameshandley in #265
• Improved packaging mark 4 by @williamjameshandley in #266
• Update documentation for 2.0 release by @lukashergt in #243
• Improved packaging mark 5 by @williamjameshandley in #267
• Improved packaging mark 6 by @williamjameshandley in #269
• Updated matplotlib version requirements by @tobyLovick in #268
• add flake8 pre-commit by @AdamOrmondroyd in #261
• Replace overridden _make_plot() with _plot() by @AdamOrmondroyd in #235
• Correct script in pyproject.toml + Improved packaging mark 7 by @williamjameshandley in #271
• WeightedGroupBy by @AdamOrmondroyd in #272
• handley-lab migration by @williamjameshandley in #279
• rename [extras] optional dependency to [all] by @AdamOrmondroyd in #281
• Use the scipy version of linalg.cholesky which consistently raises LinAngError with linearly dependent columns by @AdamOrmondroyd in #287
• Make name of Colormaps returned by basic_cmap a string by @ThomasGesseyJones in #289
• Release workf...