napari_matplotlib.histogram._get_bins returns fewer bins if the data passed to it are float compared to if they are int.

To reproduce:

import numpy as np
from napari_matplotlib.histogram import _get_bins

data = np.arange(0, 101, dtype=int)
print(_get_bins(data).size)
print(_get_bins(data.astype(float)).size)

which prints:

101
100

To fix, perhaps 100 bins (101 bin edges) should be created with np.linspace for float data