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, ...])

Bean plot of each dataset in a 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.

Dot Plots

dot_plot(points[, intervals, lines, ...])

Dot plotting (also known as forest and blobbogram).

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[, ...])

Conditional Expectation Partial Residuals (CERES) plot.

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])

Plot 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

plot_ccf(x, y, *[, ax, lags, negative_lags, ...])

Plot the cross-correlation function

plot_accf_grid(x, *[, varnames, fig, lags, ...])

Plot auto/cross-correlation grid

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, ...])

Construct a Tukey/Bland-Altman Mean Difference Plot.
Last update: Nov 14, 2024