History

0.8.0 (2025-05-27)

New features:

  • axlines as a new plot type to add vertical and horizontal lines to the plot.

  • consistent font size handling

Fixes:

  • consistent use of kwargs

0.7.1 (2024-10-02)

Fixes:

  • Fixed bug where plotting multiple distributions with tri=”u” caused empty plots in the lower triangle.

0.7.0 (2024-09-08)

New feature:

  • 1D histograms can be without normalization: histograms_1D_density=False

0.6.0 (2024-03-27)

New feature:

  • RectangleChain class

0.5.1 (2023-09-01)

Fixes:

  • alhpa2D is now an option for all plot types.

  • cmap_vmin and cmap_vmax is now an option for all plot types.

0.5.0 (2023-08-08)

New features:

  • TypeError when using unknown argument

  • non-square panels are now possible

  • n_points_scatter to set the number of points in the scatter plot

Fixes:

  • equally spaced automatic ticks

Further improvements:

  • improved documentation and docstrings

  • coverage tests

  • improved tests

  • cleanup

0.4.3 (2023-07-01)

Fixes:

  • grid is also plotted in the upper triangle if the plotting order is lower upper lower (and vice versa)

  • ranges of empty plots are correctly displayed

  • added warning for people like Arne that use the parameter names incorrectly.

0.4.2 (2023-06-19)

Fix: scatter_kwargs for scatter_density

0.4.1 (2023-06-09)

Fix: RGB(A) colors in plt.contour

0.4.0 (2023-06-05)

New feature:

  • n_sigma_for_one_sided_tail free parameter to manually set the threshold when to use a 2-sided or 1-sided interval

Fixes:

  • correct normalization when using samples with prob

  • avoid upper limits with +- 0.0 and lower limits with – 0.0

0.3.1 (2023-05-11)

Fix: Labels showing correctly when using upper triangle. Improved documentation.

0.3.0 (2023-04-26)

New features:

  • LineChain class

  • params_from argument to select parameter from chain

  • add_derived_params to add derived_params to the input

  • input data can be pandas dataframes

  • colors follow the matplotlib color cycles by default

  • when computing bestfits and uncertainties, it automatically detects if to show bestfit +/- uncertainty or a lower/upper limit.

Fixes:

  • ylimits in 1D plots

  • tick values when choosing many ticks

Further improvements:

  • documentation

  • dependency cleanup

0.2.1 (2023-03-20)

Fix: 1D histograms when using prob.

0.2.0 (2023-02-09)

First release on PyPI.

New features:

  • dictionaries are new possible inputs

  • progressbar can be disabled

0.1.2 (2023-02-02)

Fix: Correct normalization of 1D posteriors (credit to Alexander Charles Tikam)

0.1.1 (2022-11-24)

Fix: Number of digits of bestfits and uncertainties are now correctly set.

0.1.0 (2022-10-31)

First public release on Gitlab.