Using numpy.apply
- by andylei
What's wrong with this snippet of code?
import numpy as np
from scipy import stats
d = np.arange(10.0)
cutoffs = [stats.scoreatpercentile(d, pct) for pct in range(0, 100, 20)]
f = lambda x: np.sum(x > cutoffs)
fv = np.vectorize(f)
# why don't these two lines output the same values?
[f(x) for x in d] # => [0, 1, 2, 2, 3, 3, 4, 4, 5, 5]
fv(d) # => array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
Any ideas?
