visualization - Plotting features

gammapy.visualization Package

Functions

annotate_heatmap(im[, data, valfmt, ...])	A function to annotate a heatmap.
colormap_hess([transition, width])	Colormap often used in H.E.S.S.
colormap_milagro([transition, width, huestart])	Colormap often used in Milagro collaboration publications.
plot_contour_line(ax, x, y, **kwargs)	Plot smooth curve from contour points
plot_heatmap(data, row_labels, col_labels[, ...])	Create a heatmap from a numpy array and two lists of labels.
plot_map_rgb(map_[, ax])	Plot RGB image on matplotlib WCS axes.
plot_spectrum_datasets_off_regions(datasets)	Plot the off regions of spectrum datasets.
plot_theta_squared_table(table)	Plot the theta2 distribution of counts, excess and signifiance.
plot_npred_signal(dataset[, ax, ...])	Plot the energy distribution of predicted counts of a selection of models assigned to a dataset.

Classes

MapPanelPlotter(figure, xlim, ylim[, npanels])

Map panel plotter class.