Graphics

Goodness of Fit Plots

qqplot(data[, dist, distargs, a, loc, …])	Q-Q plot of the quantiles of x versus the quantiles/ppf of a distribution.
qqline(ax, line[, x, y, dist, fmt])	Plot a reference line for a qqplot.
qqplot_2samples(data1, data2[, xlabel, …])	Q-Q Plot of two samples’ quantiles.
ProbPlot(data[, dist, fit, distargs, a, …])	Q-Q and P-P Probability Plots

Boxplots

violinplot(data[, ax, labels, positions, …])	Make a violin plot of each dataset in the data sequence.
beanplot(data[, ax, labels, positions, …])	Make a bean plot of each dataset in the data sequence.

Correlation Plots

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.

scatter_ellipse(data[, level, varnames, …])

Create a grid of scatter plots with confidence ellipses.

Functional Plots

hdrboxplot(data[, ncomp, alpha, threshold, …])	High Density Region boxplot
fboxplot(data[, xdata, labels, depth, …])	Plot functional boxplot.
rainbowplot(data[, xdata, depth, method, …])	Create a rainbow plot for a set of curves.
banddepth(data[, method])	Calculate the band depth for a set of functional curves.

Regression Plots

plot_fit(results, exog_idx[, y_true, ax, vlines])	Plot fit against one regressor.
plot_regress_exog(results, exog_idx[, fig])	Plot regression results against one regressor.
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_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_ceres_residuals(results, focus_exog[, …])	Produces a CERES (Conditional Expectation Partial Residuals) plot for a fitted regression model.
abline_plot([intercept, slope, horiz, vert, …])	Plot a line given an intercept and slope.
influence_plot(results[, external, alpha, …])	Plot of influence in regression.
plot_leverage_resid2(results[, alpha, ax])	Plots leverage statistics vs.

Time Series Plots

plot_acf(x[, ax, lags, alpha, use_vlines, …])	Plot the autocorrelation function
plot_pacf(x[, ax, lags, alpha, method, …])	Plot the partial autocorrelation function
month_plot(x[, dates, ylabel, ax])	Seasonal plot of monthly data
quarter_plot(x[, dates, ylabel, ax])	Seasonal plot of quarterly data

Other Plots

interaction_plot(x, trace, response[, func, …])

Interaction plot for factor level statistics.

mosaic(data[, index, ax, horizontal, gap, …])

Create a mosaic plot from a contingency table.

mean_diff_plot(m1, m2[, sd_limit, ax, …])

Tukey’s Mean Difference Plot.