Graphics
Goodness of Fit Plots
gofplots.qqplot(data[, dist, distargs, a, ...]) | Q-Q plot 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. |
gofplots.qqplot_2samples(data1, data2[, ...]) | Q-Q Plot of two samples? quantiles. |
gofplots.ProbPlot(data[, dist, fit, ...]) | Class for convenient construction of Q-Q, P-P, and probability plots. |
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(results, exog_idx) | Plot fit against one regressor. |
regressionplots.plot_regress_exog(results, ...) | Plot regression results against one regressor. |
regressionplots.plot_partregress(endog, ...) | Plot partial regression for a single regressor. |
regressionplots.plot_ccpr(results, exog_idx) | Plot CCPR against one regressor. |
regressionplots.abline_plot([intercept, ...]) | Plots a line given an intercept and slope. |
regressionplots.influence_plot(results[, ...]) | Plot of influence in regression. |
regressionplots.plot_leverage_resid2(results) | Plots leverage statistics vs. |
Time Series Plots
tsaplots.plot_acf(x[, ax, lags, alpha, ...]) | Plot the autocorrelation function |
tsaplots.plot_pacf(x[, ax, lags, alpha, ...]) | Plot the partial autocorrelation function |
tsaplots.month_plot(x[, dates, ylabel, ax]) | Seasonal plot of monthly data |
tsaplots.quarter_plot(x[, dates, ylabel, ax]) | Seasonal plot of quarterly data |
Other Plots
factorplots.interaction_plot(x, trace, response) | Interaction plot for factor level statistics. |
mosaicplot.mosaic(data[, index, ax, ...]) | Create a mosaic plot from a contingency table. |
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