




Poisson(nbar)
Return a Poisson random integer, whose distribution has a mean =
nbar. 
source code















median_across(list_of_vec)
Returns an elementbyelement median of a list of Numeric vectors. 
source code



N_median(a,
axis=0)
Returns an elementbyelement median of a list of Numeric vectors. 
source code









trimmed_mean_sigma_across(list_of_vec,
weights,
clip) 
source code



trimmed_mean_across(list_of_vec,
weights,
clip) 
source code



trimmed_stdev_across(list_of_vec,
weights,
clip) 
source code



vec_variance(x)
Take a componentbycomponent variance of a list of vectors. 
source code



qform(vec,
mat)
A quadratic form: vec*mat*vec, or vecs*mat*transpose(vecs) 
source code



KolmogorovSmirnov(d1,
d2,
w1=None,
w2=None) 
source code



interpN(a,
t)
Interpolate array a to floating point indices, t, via
nearestneighbor interpolation. 
source code


numpy array.





block_stdev(x)
This is just a alternative implementation of the standard deviation
of each channel, but it is designed in a blockwise fashion so the
total memory usage is not large. 
source code



convolve(x,
kernel)
This is basically like numpy.convolve(x, kernel, 1) except that it
properly handles the case where the kernel is longer than the data. 
source code



edge_window(n,
eleft,
eright,
typeleft=' linear ' ,
typeright=' linear ' ,
norm=None)
Creates a window which is basically flat, but tapers off on the left
and right edges. 
source code



edge_window_t(t,
eleft,
eright,
typeleft=' linear ' ,
typeright=' linear ' ,
norm=None)
Computes a window which is basically flat, but tapers off on the left
and right edges. 
source code

