Last modified: 12 December 2024

How can I create multiple plots in the same window?


In the following we assume you have two data sets loaded with ids of 1 (i.e. the default) and 2, that you have done the following

sherpa> set_xlog()
sherpa> set_ylog()

and that fits have been made to both data sets.

If you wish to display multiple datasets in the same plot window then you can use the plot command; for example if you have two datasets with ids of 1 and 2 then:

sherpa> plot("data", 1, "data", 2)

will display each data set in a separate plot in the same window (Figure 1).

Figure 1: Plotting multiple data sets

[The two data sets are arranged vertically, showing counts/sec/kev (y axis) against energy (kev) for the x axis]
[Print media version: The two data sets are arranged vertically, showing counts/sec/kev (y axis) against energy (kev) for the x axis]

Figure 1: Plotting multiple data sets

The default layout of the plots is not guaranteed to be free of overlaps of plot elements, such as the X-axis label of the top plot and the title of the second plot.

Parameters can be applied to all plots, such as setting the X-axis to a logarithmic scale:

sherpa> plot("data", 1, "data", 2, xlog=False)

You can display more than two plots, for instance (Figure 2):

sherpa> plot('fit', 1, 'fit', 2, 'delchi', 1, 'delchi', 2)

Figure 2: Plotting fit and residuals

[The plots are in a two-by-two grid with the data and "sigma residuals" for the first dataset in the first column and for the second dataset in the second column]
[Print media version: The plots are in a two-by-two grid with the data and "sigma residuals" for the first dataset in the first column and for the second dataset in the second column]

Figure 2: Plotting fit and residuals

The overlapping of labels is present and the Y axes of the plots are also not the same, which makes cross comparison difficult.

The spacing and layout of the plots can be adjusted using Matplotlib.