plot_cdf

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

Plot the cumulative density function of an array of values.

Create and plot the cumulative density function (CDF) of the input array. Median and upper- and lower- quartiles are marked on the plot.

Parameters:
  • points (array) – The values used to create the cumulative density function.
  • name (str, optional) – The label to use as part of the plot title.
  • xlabel (str, optional) – The label for the X and part of the Y axes.
  • replot (bool, optional) – Set to True to use the values calculated by the last call to plot_cdf. 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_cdf_plot()
Return the data used to plot the last CDF.
get_draws()
Run the pyBLoCXS MCMC algorithm.
plot_pdf()
Plot the probability density function of an array.
plot_scatter()
Create a scatter plot.

Examples

>>> mu, sigma, n = 100, 15, 500
>>> x = np.random.normal(loc=mu, scale=sigma, size=n)
>>> plot_cdf(x)

>>> plot_cdf(x, xlabel="x pos", name="Simulations")