Using several markers in a single scatter is currently not a feature matplotlib supports. There is however a feature request for this at https://github.com/matplotlib/matplotlib/issues/11155
It is of course possible to draw several scatters, one for each marker type.
A different option is the one I proposed in the above thread, which is to set the markers after creating the scatter:
import numpy as np
import matplotlib.pyplot as plt
def mscatter(x,y,ax=None, m=None, **kw):
import matplotlib.markers as mmarkers
if not ax: ax=plt.gca()
sc = ax.scatter(x,y,**kw)
if (m is not None) and (len(m)==len(x)):
paths = []
for marker in m:
if isinstance(marker, mmarkers.MarkerStyle):
marker_obj = marker
else:
marker_obj = mmarkers.MarkerStyle(marker)
path = marker_obj.get_path().transformed(
marker_obj.get_transform())
paths.append(path)
sc.set_paths(paths)
return sc
N = 40
x, y, c = np.random.rand(3, N)
s = np.random.randint(10, 220, size=N)
m = np.repeat(["o", "s", "D", "*"], N/4)
fig, ax = plt.subplots()
scatter = mscatter(x, y, c=c, s=s, m=m, ax=ax)
plt.show()
If you only have numbers, instead of marker symbols you would first need to map numbers to symbols and supply the list of symbols to the function.