The following functions are contained in the pandas.plotting module.
andrews_curves(frame, class_column[, ax, ...])
Generate a matplotlib plot for visualizing 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.
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, **kwargs)
Helper function to convert DataFrame and Series to matplotlib.table.
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