Plotting

The following functions are contained in the pandas.plotting module.

andrews_curves(frame, class_column[, ax, …])	Generate a matplotlib plot of Andrews curves, for visualising clusters of multivariate data.
autocorrelation_plot(series[, ax])	Autocorrelation plot for time series.
bootstrap_plot(series[, fig, size, samples])	Bootstrap plot on mean, median and mid-range statistics.
boxplot(data[, column, by, ax, fontsize, …])	Make a box plot from DataFrame columns.
deregister_matplotlib_converters()	Remove pandas’ formatters and converters.
lag_plot(series[, lag, ax])	Lag plot for time series.
parallel_coordinates(frame, class_column[, …])	Parallel coordinates plotting.
plot_params	Stores pandas plotting options.
radviz(frame, class_column[, ax, color, …])	Plot a multidimensional dataset in 2D.
register_matplotlib_converters()	Register Pandas Formatters and Converters with matplotlib.
scatter_matrix(frame[, alpha, figsize, ax, …])	Draw a matrix of scatter plots.
table(ax, data[, rowLabels, colLabels])	Helper function to convert DataFrame and Series to matplotlib.table.

Style General utility functions