iq_readout.plots.shots1d.plot_two_pdfs_projected#

plot_two_pdfs_projected(ax, classifier, shots_0, shots_1, labels=['0', '1'], colors=['orange', 'blue'])[source]#

Plots the projected experimental histogram and the fitted pdf in the given projection axis. Note: it can only be used for (two-state) linear classifiers.

Parameters:

ax: Matplotlib axis.
shots_0: np.ndarray(N, 2): Experimental data for state 0.
shots_1: np.ndarray(N, 2): Experimental data for state 1.
classifier: Class with ‘project’, ‘pdf_0_projected’ and ‘pdf_1_projected’ functions.
labels: (label_0, label_1): Labels for the state 0 and state 1 data.
colors: (color_0, color_1): Colors for the state 0 and state 1 data.

Returns:

ax:: Matplotlib axis with the data plotted.