visualization - Plotting and visualization

Getting started

gammapy.visualization provides a few helper functions and classes to create publication-quality images.

Colormaps

The following example shows how to plot images using colormaps that are commonly used in gamma-ray astronomy (colormap_hess and colormap_milagro).

(png, hires.png, pdf)

../_images/colormap_example.png

Survey panel plots

The MapPanelPlotter allows to split e.g. a galactic plane survey image with a large aspect ratio into multiple panels. Here is a short example:

(png, hires.png, pdf)

../_images/index-1.png

Reference/API

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_spectrum_datasets_off_regions(datasets)

Plot the off regions of spectrum datasets.

plot_theta_squared_table(table)

Plot the theta2 distribution of ON, OFF counts, excess and signifiance in each theta2bin.

Classes

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

Map panel plotter class.