yaw.core.math

This module implements some math and array related functions.

Functions

apply_bool_mask_ndim(array, mask[, axis])	Apply a boolean mask (mask) to one or many axes of a numpy array.
array_equal(arr1, arr2)	Check if the shape and array elements of two numpy array are equal.
apply_slice_ndim(array, item[, axis])	Apply an integer subset or slice (item) to one or many axes of a numpy array.
corr_from_cov(covariance)	Convert an input covariance matrix to a covariance matrix.
cov_from_samples(samples, method[, rowvar, kind])	Compute a joint covariance from a sequence of data samples.
outer_triu_sum(a, b, *[, k, axis])	Compute the sum over the upper triangle of the outer product.
rebin(bins_new, bins_old, counts_old)	Recompute compute histogram counts for a new binning.
sgn(val)	Compute the sign of a (array of) numbers, with positive numbers and 0 returning 1, negative number returning -1.
shift_histogram(bins, counts, *[, A, dx])	Shift a histogram by a fixed value.