shrink parameter in histplot shifts data

The smaller the value of the shrink parameter, the more the values in the histogram get shifted towards positive values.

import seaborn as sns import numpy as np

r = np.random.random(100)

sns.histplot(r);

sns.histplot(r, shrink=0.5);

[mwaskom]

Keep in mind that by default the left edge of the first bar aligns with the minimum datapoint and the right edge of the last bar aligns with the maximum datapoint. So if you want to use the bar position to encode the discrete values, you’ll likely want to employ binrange too.

[mwaskom]

I think that a little shrinking with regularly sampled numeric data can make sense, and should now work. (But not using the discrete= kwarg, which sets bins to be centered on integral values). It does sound like you’ll need to craft your bins= carefully though.