abline_plot([intercept, slope, horiz, vert, ...]) |
Plots a line given an intercept and slope. |
beanplot(data[, ax, labels, positions, ...]) |
Make a bean plot of each dataset in the data sequence. |
fboxplot(data[, xdata, labels, depth, ...]) |
Plot functional boxplot. |
influence_plot(results[, external, alpha, ...]) |
Plot of influence in regression. |
interaction_plot(x, trace, response[, func, ...]) |
Interaction plot for factor level statistics. |
plot_ccpr(results, exog_idx[, ax]) |
Plot CCPR against one regressor. |
plot_ccpr_grid(results[, exog_idx, grid, fig]) |
Generate CCPR plots against a set of regressors, plot in a grid. |
plot_corr(dcorr[, xnames, ynames, title, ...]) |
Plot correlation of many variables in a tight color grid. |
plot_corr_grid(dcorrs[, titles, ncols, ...]) |
Create a grid of correlation plots. |
plot_fit(results, exog_idx[, y_true, ax]) |
Plot fit against one regressor. |
plot_leverage_resid2(results[, alpha, ...]) |
Plots leverage statistics vs. |
plot_partregress(endog, exog_i, exog_others) |
Plot partial regression for a single regressor. |
plot_partregress_grid(results[, exog_idx, ...]) |
Plot partial regression for a set of regressors. |
plot_regress_exog(results, exog_idx[, fig]) |
Plot regression results against one regressor. |
qqplot(data[, dist, distargs, a, loc, ...]) |
Q-Q plot of the quantiles of x versus the quantiles/ppf of a distribution. |
rainbow(n) |
Returns a list of colors sampled at equal intervals over the spectrum. |
rainbowplot(data[, xdata, depth, method, ...]) |
Create a rainbow plot for a set of curves. |
violinplot(data[, ax, labels, positions, ...]) |
Make a violin plot of each dataset in the data sequence. |