Hi, I got a question about making a histogram using the 'blocks' binning strategy, i.e. bayesian blocks. I'd like to make a histogram of data points which have uncertainties. The *two* arrays (t & x) as arguments (apart from the sigma/data errors of course), not just the one I want to bin (x). And in the documentation of the

`astropy.stats.bayesian_blocks`

function (which would give me the binlimits I need) has an argument `sigma`

which should do what I need, I suppose. but I'm confused that I have to pass `stats.histrogram`

function I don't see any support for data uncertainties, not even through the (unimplemented) weights.
Am I just parsing the docs incorrectly? Or how to I work around this?