Adding a label to a plot
Matplotlib has a number of ways to add or change the labels on a plot. For this example we shall use a simple dataset
sherpa> load_arrays(1, [1, 5, 8], [20, 30, 25]) sherpa> plot_data()
Figure 1: the original plot
After creating the plot, in this case with:
sherpa> plot_data()
then a number of Matlpotlib commands can be used. For example, the axis labels can be changed:
sherpa> plt.xlabel("The independent axis") sherpa> plt.ylabel("The dependent axis") sherpa> plt.title("The plot title")
To add a label we can use the plt.text command:
sherpa> plt.text(5, 20, "At 5,20 [data]")
The default is to use the data coordinate system of the plot, but alternative systems, such as the axes (0 to 1 covers the plot area) and figure (0 to 1 covers the full figure) can also be used:
sherpa> ax = plt.gca() sherpa> plt.text(0.5, 0, "centered [axis]", c="orange", ha="center", transform=ax.transAxes) sherpa> fig = plt.gcf() sherpa> plt.text(1, 1, "top-right [fig]", c="g", ha="right", va="top", transform=fig.transFigure)