replace elements in array using based on index list comprehension

I would like to replace elements at specific positions in an array baes on the index. Is there a more efficient way than using for loops, e.g. list comprehension? Here is some exemplary code:

n=10
te=15
SampleData=np.random.rand(te,n)
percentiles = np.linspace(0,100,n)

SDist=np.zeros((te,n))
# the fllowing is what I would like to change:
for i in range(n):
    for t in range(te):
      SDist[t,i]=np.percentile(SampleData[t,:],percentiles[i])

Thanks in advance!