inf line, dashing, thin bool - #1064

# vertical lines at the zero-crossings, one color per line by passing a list of colors
zero_crossings = np.array([0, np.pi, 2 * np.pi, 3 * np.pi, 4 * np.pi])
figure[0, 0].add_inf_line(
    zero_crossings, axis="x", colors=["r", "g", "b", "c", "m"], thickness=2
)

# dashed horizontal lines at the sine bounds, provided as a 1D array of y-values
figure[0, 0].add_inf_line(
    np.array([-1.0, 1.0]),
    axis="y",
    colors="gray",
    thickness=2,
    dash_pattern="--",
)

# an even number of points sampled around a circle; each consecutive pair of points defines an infinite line
t = np.linspace(0, 2 * np.pi, 64, endpoint=False)
xs = np.sin(t)
ys = np.cos(t)
positions = np.column_stack([xs, ys, np.zeros_like(xs)])

positions = np.arange(10)
figure[0, 0].add_inf_line(positions, axis="x", cmap="viridis", thickness=3)

# color each line by an associated value using the colormap transform
values = np.sin(positions)
figure[0, 0].add_inf_line(
    positions, axis="x", cmap="plasma", cmap_transform=values, thickness=3
)

patterns = ["-", "--", "-.", ":"]

for i, pattern in enumerate(patterns):
    ys = np.sin(xs) + i * 3
    data = np.column_stack([xs, ys])
    figure[0, 0].add_line(
        data, thickness=5, dash_pattern=pattern, name=pattern
    )