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.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.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.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. |
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. |
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 |
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
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/graphics.html