Miscellaneous

crop(x, y[, lower, upper])	Return x,y data where lower <= x <= upper
convert_cosine_to_angles(cos_angles, y_data)	Convert data given as a cosine to radians
integral_sum(bincenters, y_data[, lower, upper])	Get the integral of a histogram by summing the counts weighted by the binsize.
integral_polyfit(x, y[, lower, upper, ...])	Get the integral of the data.
edges_to_centers(edges)	Return centers of bins discribed by edges.
centers_to_edges(centers[, lower, upper])	Work out bin edges from bin centers.
work_out_bin_edges(centers[, lower, upper])	Alias for centers_to_edges().
sample_distribution(edges, values, size)	Sample a distribution described by edges and values.
sample_distribution_func(f, size, xlimits, ...)	Sample a distribution described by f.
sample_distribution_discrete(values, ...)	Sample a discrete distribution of values, where the probability is given by probabilities.
get_all_dividers(n)	Return possible rebins of the integer n.
for_pcolormesh(x, y, z[, permuting, xmin, ...])	Convert xyz-data such that it can be plotted with matplotlib.pyplot.pcolormesh().
for_imshow(x, y, z[, permuting, origin])	Convert xyz-data such that it can be plotted with matplotlib.pyplot.imshow().
eval_yl0_polynomial(thetas, *coeffs)	Evaluate a polynomial of spherical harmonics.
fit_yl0_polynomial(thetas, intensity, degree)	Fit data to a polynomial of \(\sum_l Y_l^0(\theta, 0)\)