Replacing multicolor with matplotlib-only example

GooseMPL/__init__.py

@@ -21,9 +21,6 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import yaml
-from matplotlib.collections import LineCollection
-from matplotlib.colors import BoundaryNorm
-from matplotlib.colors import ListedColormap
 from numpy.typing import ArrayLike
 from scipy.optimize import curve_fit
 
@@ -204,55 +201,6 @@ def latex_float(number, fmt="{0:.2g}"):
     return float_str
 
 
-def plotmulticolor(x: ArrayLike, y: ArrayLike, cmap, axis: plt.Axes = None, dashes=100, **kwargs):
-    """
-    Plot with a line in which multiple colors.
-
-    .. tip::
-
-        Set the x- and y-limits before calling this function to get a proper calculation of
-        the size of the dashes.
-
-    :param x: x-coordinates.
-    :param y: y-coordinates.
-    :param cmap: Colormap.
-    :param axis: Apply ticks/labels to an axis.
-    :param dashes: Number of dashes to use on a diagonal line.
-    """
-
-    ax = axis if axis else plt.gca()
-    x = np.array(x)
-    y = np.array(y)
-
-    if isinstance(cmap, list):
-        cmap = ListedColormap(cmap)
-    if isinstance(cmap, np.ndarray):
-        cmap = ListedColormap(cmap)
-
-    norm = BoundaryNorm(np.arange(cmap.N + 1) - 0.5, cmap.N)
-
-    xp = []
-    yp = []
-    cp = []
-
-    for i in range(len(x) - 1):
-        xi = [x[i], x[i + 1]]
-        yi = [y[i], y[i + 1]]
-        d = np.sqrt(
-            np.diff(ax.transLimits.transform(xi)) ** 2 + np.diff(ax.transLimits.transform(yi)) ** 2
-        )
-        n = int(d / np.sqrt(2) * dashes)
-        xp += np.linspace(xi[0], xi[1], n).tolist()
-        yp += np.linspace(yi[0], yi[1], n).tolist()
-        cp += np.tile(np.arange(cmap.N), int(np.ceil(n / cmap.N)))[: n - 1].tolist()
-
-    points = np.array([xp, yp]).T.reshape(-1, 1, 2)
-    segments = np.concatenate([points[:-1], points[1:]], axis=1)
-    lc = LineCollection(segments, cmap=cmap, norm=norm)
-    lc.set_array(np.array(cp))
-    return ax.add_collection(lc)
-
-
 def log_ticks(
     lim: tuple(int, int) = None,
     keep: list = None,

docs/examples/pyplot/multicolor.py

@@ -0,0 +1,15 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use(["goose", "goose-latex"])
+
+x = np.linspace(0, 2 * np.pi, 1000)
+y = np.sin(x)
+
+fig, ax = plt.subplots()
+
+ax.plot(x, y, linestyle=(0, (10, 20)), color="r")
+ax.plot(x, y, linestyle=(10, (10, 20)), color="g")
+ax.plot(x, y, linestyle=(20, (10, 20)), color="b")
+
+plt.savefig("multicolor.svg")