Plotting#

plot_simulation(simulation[, vars_to_plot, ...])

Plot a simulation of multiple variables.

plot_irf(irf[, vars_to_plot, ...])

Plot the impulse response functions for a set of variables.

plot_prior_solvability(data[, params_to_plot])

Plot the results of sampling from the prior distributions of a GCN and attempting to fit a DSGE model.

plot_eigenvalues(model[, A, B, C, D, ...])

Plot the eigenvalues of the model solution, along with a unit circle.

plot_covariance_matrix(data[, vars_to_plot, ...])

Plot a heatmap of the covariance matrix of the input data.

plot_heatmap(data[, ax, cbar_kw, cbarlabel])

Create a heatmap from a pandas dataframe.

plot_acf(acorr[, vars_to_plot, figsize, ...])

Plot the autocorrelation function for a set of variables.

plot_corner(idata[, group, var_names, ...])

Draw a corner plot, also known as a scatterplot matrix, of the posterior distributions of a set of variables.

plot_kalman_filter(idata, data[, ...])

Plot Kalman filter, prediction or smoothed series for variables in idata.