getdist.plots.GetDistPlotter

class getdist.plots.GetDistPlotter(chain_dir=None, settings=None, analysis_settings=None, auto_close=False)

Main class for making plots from one or more sets of samples.

Variables:

• settings – a GetDistPlotSettings instance with settings
• subplots – a 2D array of Axes for subplots
• sample_analyser – a MCSampleAnalysis instance for getting MCSamples and derived data from a given root name tag (e.g. sample_analyser.samples_for_root(‘rootname’))

Parameters:

• chain_dir – Set this to a directory or grid directory hierarchy to search for chains (can also be a list of such, searched in order)
• analysis_settings – The settings to be used by MCSampleAnalysis when analysing samples
• auto_close – whether to automatically close the figure whenever a new plot made or this instance released

__init__(chain_dir=None, settings=None, analysis_settings=None, auto_close=False)

Parameters:

• chain_dir – Set this to a directory or grid directory hierarchy to search for chains (can also be a list of such, searched in order)
• analysis_settings – The settings to be used by MCSampleAnalysis when analysing samples
• auto_close – whether to automatically close the figure whenever a new plot made or this instance released

Methods

__init__([chain_dir, settings, …])	param chain_dir:  Set this to a directory or grid directory hierarchy to search for chains
add_1d(root, param[, plotno, normalized, …])	Low-level function to add a 1D marginalized density line to a plot
add_2d_contours(root[, param1, param2, …])	Low-level function to add 2D contours to plot for samples with given root name and parameters
add_2d_covariance(means, cov[, xvals, …])	Plot 2D Gaussian ellipse.
add_2d_density_contours(density, **kwargs)	Low-level function to add 2D contours to a plot using provided density
add_2d_mixture_projection(mixture, param1, …)
add_2d_scatter(root, x, y[, color, alpha, …])	Low-level function to adds a 2D sample scatter plot to the current axes (or ax if specified).
add_2d_shading(root, param1, param2[, …])	Low-level function to add 2D density shading to the given plot.
add_3d_scatter(root, params[, color_bar, …])	Low-level function to add a 3D scatter plot to the current axes (or ax if specified).
add_bands(x, y, errors[, color, nbands, …])	Add a constraint band as a function of x showing e.g.
add_colorbar(param[, orientation, mappable, ax])	Adds a color bar to the given plot.
add_colorbar_label(cb, param[, label_rotation])	Adds a color bar label.
add_legend(legend_labels[, legend_loc, …])	Add a legend to the axes or figure.
add_line(xdata, ydata[, zorder, color, ls, ax])	Adds a line to the given axes, using Line2D
add_text(text_label[, x, y, ax])	Add text to given axis.
add_text_left(text_label[, x, y, ax])	Add text to the left, Wraps add_text.
add_x_bands(x, sigma[, color, ax, alpha1, …])	Adds vertical shaded bands showing one and two sigma ranges.
add_x_marker(marker[, color, ls, lw, ax])	Adds a vertical line marking some x value.
add_y_bands(y, sigma[, color, ax, alpha1, …])	Adds horizontal shaded bands showing one and two sigma ranges.
add_y_marker(marker[, color, ls, lw, ax])	Adds a horizontal line marking some y value.
default_col_row([nplot, nx, ny])	Get default subplot columns and rows depending on number of subplots.
export([fname, adir, watermark, tag])	Exports given figure to a file.
finish_plot([legend_labels, legend_loc, …])	Finish the current plot, adjusting subplot spacing and adding legend if required.
get_axes([ax, pars])	Get the axes instance corresponding to the given subplot (y,x) coordinates, parameter list, or otherwise if ax is None get the last subplot axes used, or generate the first (possibly only) subplot if none.
get_axes_for_params(*pars, **kwargs)	Get axes corresponding to given parameters
get_param_array(root, params, str, …)	Gets an array of ParamInfo for named params in the given root.
get_single_plotter([scaling, rc_sizes])
get_subplot_plotter([subplot_size, …])
make_figure([nplot, nx, ny, xstretch, …])	Makes a new figure with one or more subplots.
new_plot([close_existing])	Resets the given plotter to make a new empty plot.
param_bounds_for_root(root)	Get any hard prior bounds for the parameters with root file name
param_latex_label(root, name[, label_params])	Returns the latex label for given parameter.
param_names_for_root(root)	Get the parameter names and labels ParamNames instance for the given root name
plot_1d(roots, param[, marker, …])	Make a single 1D plot with marginalized density lines.
plot_2d(roots[, param1, param2, param_pair, …])	Create a single 2D line, contour or filled plot.
plot_2d_scatter(roots, param1, param2[, …])	Make a 2D sample scatter plot.
plot_3d(roots[, params, params_for_plots, …])	Make a 2D scatter plot colored by the value of a third parameter (a 3D plot).
plots_1d(roots[, params, legend_labels, …])	Make an array of 1D marginalized density subplots
plots_2d(roots[, param1, params2, …])	Make an array of 2D line, filled or contour plots.
plots_2d_triplets(root_params_triplets[, …])	Creates an array of 2D plots, where each plot uses different samples, x and y parameters
plots_3d(roots, param_sets[, nx, legend_labels])	Create multiple 3D subplots
plots_3d_z(roots, param_x, param_y[, …])	Make set of sample scatter subplots of param_x against param_y, each coloured by values of parameters in param_z (all if None).
rectangle_plot(xparams, yparams[, yroots, …])	Make a grid of 2D plots.
rotate_xticklabels([ax, rotation, labelsize])	Rotates the x-tick labels by given rotation (degrees)
rotate_yticklabels([ax, rotation, labelsize])	Rotates the y-tick labels by given rotation (degrees)
samples_for_root(root[, file_root, cache, …])	Gets MCSamples from root name (or just return root if it is already an MCSamples instance).
set_axes([params, lims, do_xlabel, …])	Set the axis labels and ticks, and various styles.
set_default_settings()
set_xlabel(param[, ax])	Sets the label for the x axis.
set_ylabel(param[, ax])	Sets the label for the y axis.
show_all_settings()	Prints settings and library versions
triangle_plot(roots[, params, …])	Make a trianglular array of 1D and 2D plots.