polyTEM.spatial.stats¶

Functions

`bending_probability`(v1, v2[, model, resolution])	Calculates the bending probability between aggregate segments v1 and v2 Segments are quantified as v = (x,y,alpha,a,b,c) where (a,b,c) is a unit vector of the nematic director (segment tangent), located at (x,y) (x,y) are in units of pixels
`exponential_decay_length`(y, x[, start_ind, ...])	Fits an exponential to y by modeling log(y) = ax + b.
`extrapolate_NN`(array)	Extrapolates the nematic orientations using Nearest Neighbors, to fill the bounding box
`get_kstest`(stack_list[, reference, plot])	retrieves Kolmogorov-smirnov test D-value against all distances for each stack in stack_list -- INPUTS stack_list = list of crystal stacks OUTPUTS kstest_list[sample][d_value_list] = list of all the ks_dvalues kstest_thetas[sample,distance] = theta with the largest CDF difference from uniform
`legendre_polynomial_2`([dimension])	2nd-order Legendre Polynomial.
`line_intersect`(line1, line2)	find the intersecting points between two lines
`make_histogram_distributions`(array, bins)	Histogram values and return random variable distribution
`rotate_align_vectors`(vec1, vec2)	Find the rotation matrix that aligns vec1 to vec2 :param vec1: A 3d "source" vector :param vec2: A 3d "destination" vector :return mat: A transform matrix (3x3) which when applied to vec1, aligns it with vec2.
`vector_curvature`(v1, v2, r1, r2)	Calculates the numerical components of curvature of v1(r1) using finite, single-sided (forward) difference between two unit vectors v1 and v2, whose origins are projected into the xy plane onto r1 and r2

Classes

LinRegressModel(slope, intercept, rvalue)