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Graphics

Goodness of Fit Plots

gofplots.qqplot(data[, dist, distargs, a, ...]) qqplot of the quantiles of x versus the quantiles/ppf of a distribution.
gofplots.qqline(ax, line[, x, y, dist, fmt]) Plot a reference line for a qqplot.

Boxplots

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

Correlation Plots

correlation.plot_corr(dcorr[, xnames, ...]) Plot correlation of many variables in a tight color grid.
correlation.plot_corr_grid(dcorrs[, titles, ...]) Create a grid of correlation plots.
plot_grids.scatter_ellipse(data[, level, ...]) Create a grid of scatter plots with confidence ellipses.

Functional Plots

functional.fboxplot(data[, xdata, labels, ...]) Plot functional boxplot.
functional.rainbowplot(data[, xdata, depth, ...]) Create a rainbow plot for a set of curves.
functional.banddepth(data[, method]) Calculate the band depth for a set of functional curves.

Regression Plots

regressionplots.plot_fit(res, exog_idx[, ...]) Plot fit against one regressor.
regressionplots.plot_regress_exog(res, exog_idx) Plot regression results against one regressor.
regressionplots.plot_partregress(endog, exog) Plot partial regression for a set of regressors.
regressionplots.plot_ccpr(res[, exog_idx, ...]) Generate CCPR plots against a set of regressors, plot in a grid.

Time Series Plots

tsaplots.plotacf(corr[, ax, lags, use_vlines]) Plot the auto or cross correlation.

Other Plots

factorplots.interaction_plot(x, trace, response) Interaction plot for factor level statistics