Upon reviewing the documentation for plt.plot, it is evident that the properties influencing markers include:
- marker: marker style string
- markeredgecolor or mec: color
- markeredgewidth or mew: float
- markerfacecolor or mfc: color
- markerfacecoloralt or mfcalt: color
- markersize or ms: float
- markevery: None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
It seems there is no direct way to apply custom styles to individual markers. For instance, using markerfacecolor=markerfacecolors is incorrect as markerfacecolor expects a single color value.
To work around this limitation, multiple plot commands can be used with masking of specific values. Here's an example:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
x = np.random.rand(5)
y = np.random.rand(5)
mask1 = np.ones_like(x, dtype=bool)
mask1[3] = False
mask2 = np.logical_not(mask1)
# Using Tab10 as default color loop in Matplotlib
color = cm.tab10.colors[0]
plt.figure()
plt.plot(x,y,'--')
plt.plot(np.ma.masked_array(x, mask2),y,'o', color=color)
plt.plot(np.ma.masked_array(x, mask1),y,'o', color=color, markerfacecolor='none')