butools.trace.CdfFromWeightedTrace¶

butools.trace.CdfFromWeightedTrace()¶

Matlab:	[x, y] = CdfFromWeightedTrace(trace, weights)
Mathematica:	{x, y} = CdfFromWeightedTrace[trace, weights]
Python/Numpy:	x, y = CdfFromWeightedTrace(trace, weights)

Returns the empirical distribution function of a trace consisting of weighted data.

Parameters:	trace : vector of doubles The trace data weights : vector of doubles The weights corresponding to the trace data
Returns:	x : vector of doubles The points where the empirical cdf is calculated y : vector of doubles The values of the empirical cdf at the given points

Examples

For Matlab:

>>> wtrace = [0.12, 1.23, 0.546, 0.6765, 1.34, 2.34];
>>> weights = [12., 1., 34., 23., 8., 2.];
>>> [x, y] = CdfFromWeightedTrace(wtrace, weights);
>>> plot(x, y)

For Mathematica:

>>> wtrace = {0.12, 1.23, 0.546, 0.6765, 1.34, 2.34};
>>> weights = {12., 1., 34., 23., 8., 2.};
>>> {x, y} = CdfFromWeightedTrace[wtrace, weights];
>>> ListLinePlot[{Transpose[{x, y}]}]

For Python/Numpy:

>>> wtrace = [0.12, 1.23, 0.546, 0.6765, 1.34, 2.34]
>>> weights = [12., 1., 34., 23., 8., 2.]
>>> x, y = CdfFromWeightedTrace(wtrace, weights)
>>> plt.plot(x, y)