# plot_cdf¶

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.

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 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)?

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")