Check scipy.stats.mode() (inspired by @tom10's comment):
import numpy as np
from scipy import stats
a = np.array([[1, 3, 4, 2, 2, 7],
[5, 2, 2, 1, 4, 1],
[3, 3, 2, 2, 1, 1]])
m = stats.mode(a)
print(m)
Output:
ModeResult(mode=array([[1, 3, 2, 2, 1, 1]]), count=array([[1, 2, 2, 2, 1, 2]]))
As you can see, it returns both the mode as well as the counts. You can select the modes directly via m[0]:
print(m[0])
Output:
[[1 3 2 2 1 1]]