# Visualization¶

trueq.visualization.general.multiply_lightness(color, amount=0.5)

Modifies a color by multiplying (1-lightness) by the given amount. Numbers less than 1 result in a lighter color, and numbers greater than 1 result in a darker color.

https://gist.github.com/ihincks/6a420b599f43fcd7dbd79d56798c4e5a

multiply_lightness("g", 0.3)
multiply_lightness("#F034A3", 0.6)
multiply_lightness((0.3, 0.55, 0.1), 0.5)

Parameters
• color (str | tuple) – A matplotlib color string, hex string, or RGB tuple.

• amount (float) – The amount to multiply (1-lightness) of the input color by.

Returns

An RGB tuple.

Return type

tuple

trueq.visualization.general.plot_mat(mat, xlabels=2, ylabels=2, show_values=True, ax=None)

Plots a complex matrix with labeling with the following properties:

1. Color is dictated by the complex angle of each cell.

2. Transparency (alpha) is decided by the magnitude of each cell.

3. Size of plot scales based on shape of mat.

phase = [np.exp(1j * t *np.pi) for t in np.linspace(0, 1, 16)]
plot_mat(np.outer(phase, phase))

Parameters
• mat (numpy.ndarray-like) – A real or complex matrix.

• xlabels (int | Iterable | None) – Either None, an iterable of labels for the x-axis, or the dimension of the subsystems where the x axis labels are the computational basis states as inferred from the size of mat. If None, the axis will be labelled by the numbers that index the columns.

• ylabels (int | Iterable | None) – Either None, an iterable of labels for the y-axis, or the dimension of the subsystems where the x axis labels are the computational basis states as inferred from the size of mat. If None, the axis will be labelled by the numbers that index the rows.

• show_values (bool) – Whether to show the numeric values of the matrix in each cell.

• ax (matplotlib.Axis) – An existing axis to plot on. If not given, a new figure will be created.

Note

The following methods and classes typically should not be invoked by users. Their plotting methods are exposed dynamically by the attributes trueq.CircuitCollection.plot and trueq.parameters.ParameterCollection.plot.