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

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.

  • 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 existing plot, otherwise create a new plot. The default is False.

  • clearwindow (bool, optional) – Should the existing plot area be cleared before creating this new plot (e.g. for multi-panel plots)?

See also


Return the data used to plot the last CDF.


Run the pyBLoCXS MCMC algorithm.


Plot the probability density function of an array.


Create a scatter plot.


>>> 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")