numpy Cheat Sheet
random
random.randn
np.random.randn(d0, d1, ... , dn)
randn returns a sample (or samples) from the standard normal distribution
| method | type | description |
|---|---|---|
d0..dn |
int | dimensions of the returned array |
random.standard_normal
np.random.standard_normal(size=None)
returns float-point array of shape size with standard normal distribution samples
| method | type | description |
|---|---|---|
size |
int or tuple or ints | output shape (i.e., (m,n,k) => m * n * k) |
cumsum
np.cumsum(a, axis=None, dtype=None, out=None)
returns a cumulative sum of the elements along a given axis