/Statsmodels

# 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.hdrboxplot`(data[, ncomp, alpha, …]) High Density Region boxplot `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. `agreement.mean_diff_plot`(m1, m2[, sd_limit, …]) Tukey’s Mean Difference Plot.

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor