iq_readout.plots.shots1d.plot_hist_projected_shots#

plot_hist_projected_shots(ax, *projected_shots, labels=None, colors=None, bins=50, rescale_factor=1)[source]#

Plots the histogram of the experimental projected shots. For linear classifiers, the projected shots can be obtained from classifier.project(...).

Parameters:

ax:: Matplotlib axis
projected_shots: [np.ndarray(N), np.ndarray(N), …]: Experimental projected data for state 0, 1, …
labels: (label_0, label_1, …): Labels for the state 0, 1, … data.
colors: (color_0, color_1, …): Colors for the state 0, 1, … data.
bins:: Number of bins in the plot.
rescale_factor:: Factor for multiplying the histogram bar heights. By default 1, so no rescaling. This is useful for three-state classifiers.

Returns: