math

Maths-related modules.

calculate_precisely(f)	Raise all arguments to their highest numpy precision.
integrate_column(y[, x, axis])	Integrate array along an arbitrary axis.
interpolate_halflevels(x[, axis])	Returns the linear inteprolated halflevels for given array.
nlogspace(start, stop[, num])	Creates a vector with equally logarithmic spacing.
promote_maximally(x)	Return copy of x with high precision dtype.
sum_digits(n)	Calculate the sum of digits.
squeezable_logspace(start, stop[, num, ...])	Create a logarithmic grid that is squeezable around a fixpoint.

math.array

Functions operating on arrays.

limit_ndarray(M, limits)	Select elements from structured ndarray based on value ranges
localmin(arr)	Find local minima for 1-D array
mad_outliers(arr[, cutoff, mad0])	Mask out mad outliers
parity(v)	Vectorised parity-checking.
argclosest(array, value[, retvalue])	Returns the index of the closest value in array.

math.stats

Various statistical functions

adev(x[, dim])	Calculate Allan deviation in its simplest form
bin(x, y, bins)	Bin/bucket y according to values of x.
bin_nd(binners, bins[, data])	Bin/bucket data in arbitrary number of dimensions
corrcoef(mat)	Calculate correlation coefficient with p-values
get_distribution_as_percentiles(x, y, bins)	get the distribution of y vs.