visualization - Plotting features#

gammapy.visualization Package#

`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.
`add_colorbar`(img, ax[, axes_loc])	Add colorbar to a given axis.
`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 significance.
`plot_npred_signal`(dataset[, ax, ...])	Plot the energy distribution of predicted counts of a selection of models assigned to a dataset.
`plot_distribution`(wcs_map[, ax, ncols, ...])	Plot the 1D distribution of data inside a map as an histogram.

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

Map panel plotter class.