Plotting

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

andrews_curves(frame, class_column[, ax, …]) Generates 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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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/plotting.html