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 |
|
regressionplots.plot_regress_exog |
|
regressionplots.plot_partregress |
|
regressionplots.plot_ccpr |
|
regressionplots.abline_plot |
|
regressionplots.influence_plot |
|
regressionplots.plot_leverage_resid2 |
Time Series Plots¶
tsaplots.plot_acf |
|
tsaplots.plot_pacf |
|
tsaplots.month_plot |
|
tsaplots.quarter_plot |
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. |