psiphy.plotting
- psiphy.plotting.corner.plot_lfire(lfi, smooth=5, true_values=None, CI=[95], cmap='Blues', CI_param=None, figsize=(10, 8))[source]
- psiphy.plotting.corner.plot_1Dmarginal(thetas, posterior, param_names=None, idx=0, ax=None, bins=100, verbose=False, smooth=False, true_values=None)[source]
- psiphy.plotting.corner.plot_2Dmarginal(thetas, posterior, param_names=None, idx=0, idy=1, ax=None, bins=100, verbose=False, smooth=False, true_values=None, CI=[95])[source]
- psiphy.plotting.corner.plot_1Dmarginal_lfire(lfi, idx, ax=None, bins=100, verbose=False, smooth=False, true_values=None)[source]
- psiphy.plotting.corner.plot_2Dmarginal_lfire(lfi, idx, idy, ax=None, bins=100, verbose=False, smooth=False, true_values=None, CI=[95], cmap='Blues', CI_param=None)[source]
- psiphy.plotting.corner.walk_parameter(param, param_name=None, step_name=None, step_ticks=None, linestyle=None, linewidth=2, color=None)[source]
- psiphy.plotting.corner.corner_density(samples, labels=None, flavor='hist', bins_1d=60, bins_2d=60, cmap=<matplotlib.colors.ListedColormap object>, shading='gouraud', linestyle='-', linewidth=2, normed=True, CI=[68, 95])[source]
- psiphy.plotting.corner.density_1D(x, axes=None, bins=60, linestyle='-', linewidth=2, color=None, show_mean=False, show_std=False, show_title=False, normed=True)[source]
- psiphy.plotting.corner.density_2D(x, y, CI=[68, 95], axes=<module 'matplotlib.pyplot' from '/opt/hostedtoolcache/Python/3.11.15/x64/lib/python3.11/site-packages/matplotlib/pyplot.py'>, flavor='hex', nbins='scott', cmap=<matplotlib.colors.LinearSegmentedColormap object>, shading='gouraud')[source]
- psiphy.plotting.corner.get_CI_HDR_2D(x, y, percent=95.0, nbins=60)[source]
Hyndman (1996) highest density region for 2D.
- psiphy.plotting.corner.get_CI_HDR_1D(x, percent=95.0, bins=60)[source]
Hyndman (1996) highest density region for 1D.
- psiphy.plotting.mcmc_chains.plot_dist_corner_getdist(samples, labels=None, names=None, filled=True, sample_labels=None)[source]
- psiphy.plotting.mcmc_chains.walk_parameter(param, param_name=None, step_name=None, step_ticks=None, linestyle=None, linewidth=2, color=None)[source]
- psiphy.plotting.mcmc_chains.plot_corner_dist(samples, labels=None, flavor='hist', bins_1d=60, bins_2d=60, cmap=<matplotlib.colors.ListedColormap object>, color='k', shading='gouraud', linestyle='-', linewidth=2, normed=True, verbose=False, CI=[68, 95], CI_plotparam=None, smooth_dist=2.5)[source]
- psiphy.plotting.mcmc_chains.plot_corner_multiple_dist(multi_samples, labels=None, flavor='hist', bins_1d=60, bins_2d=60, shading='gouraud', linestyle='-', linewidth=2, normed=True, verbose=False, CI=[68, 95], smooth_dist=2.5)[source]
- psiphy.plotting.mcmc_chains.print_CI_samples(samples, bins_1d=60, CI=[68, 95], labels=None, smooth_dist=2.5)[source]
- psiphy.plotting.mcmc_chains.density_1D(x, axes=None, bins=60, linestyle='-', linewidth=2, color=None, show_mean=False, show_std=False, show_title=False, normed=True, smooth_dist=2.5)[source]
- psiphy.plotting.mcmc_chains.contour_2D(x, y, CI=[68, 95], axes=<module 'matplotlib.pyplot' from '/opt/hostedtoolcache/Python/3.11.15/x64/lib/python3.11/site-packages/matplotlib/pyplot.py'>, flavor='hex', nbins='scott', cmap=<matplotlib.colors.LinearSegmentedColormap object>, shading='gouraud', CI_plotparam=None, smooth_dist=2.5)[source]
- psiphy.plotting.mcmc_chains.density_2D(x, y, CI=[68, 95], axes=<module 'matplotlib.pyplot' from '/opt/hostedtoolcache/Python/3.11.15/x64/lib/python3.11/site-packages/matplotlib/pyplot.py'>, flavor='hex', nbins='scott', cmap=<matplotlib.colors.LinearSegmentedColormap object>, shading='gouraud', CI_plotparam=None, smooth_dist=2.5)[source]
- psiphy.plotting.mcmc_chains.get_CI_HDR_2D(x, y, percent=95.0, nbins=60, smooth_dist=2.5)[source]
Hyndman (1996)