plot_trace

sherpa.astro.ui.plot_trace(points, name='x', xlabel='x', replot=False, overplot=False, clearwindow=True)

Create a trace plot of row number versus value.

Dispay a plot of the points array values (Y axis) versus row number (X axis). This can be useful to view how a value changes, such as the value of a parameter returned by get_draws.

Parameters:
  • points (array) – The values to plot on the Y axis.
  • name (str, optional) – The label to use on the Y axis and as part of the plot title.
  • xlabel (str, optional) –
  • replot (bool, optional) – Set to True to use the values calculated by the last call to plot_trace. The default is False.
  • overplot (bool, optional) – If True then add the data to an exsiting plot, otherwise create a new plot. The default is False.
  • clearwindow (bool, optional) – When using ChIPS for plotting, should the existing frame be cleared before creating the plot?

See also

get_draws()
Run the pyBLoCXS MCMC algorithm.
get_trace_plot()
Return the data used to plot the last trace.
plot_cdf()
Plot the cumulative density function of an array.
plot_pdf()
Plot the probability density function of an array.
plot_scatter()
Create a scatter plot.

Examples

Plot the trace of the 500 elements in the x array:

>>> mu, sigma = 100, 15
>>> x = mu + sigma * np.random.randn(500)
>>> plot_trace(x)

Use “ampl” as the Y axis label:

>>> plot_trace(ampl, name='ampl')