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
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
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