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.

bootstrap_plot(series[, fig, size, samples])

Bootstrap plot on mean, median and mid-range statistics.

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.

radviz(frame, class_column[, ax, color, …])

Plot a multidimensional dataset in 2D.

register_matplotlib_converters([explicit])

Register Pandas Formatters and Converters with matplotlib

scatter_matrix(frame[, alpha, figsize, ax, …])

Draw a matrix of scatter plots.

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