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