Plotting — pandas 3.0.0.dev0+2100.gf496acffcc documentation (original) (raw)
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. |
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| 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, **kwargs) | Helper function to convert DataFrame and Series to matplotlib.table. |