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1 parent 37d33ae commit 8a7d9e4Copy full SHA for 8a7d9e4
src/napari_matplotlib/histogram.py
@@ -31,7 +31,7 @@ def _get_bins(data: npt.NDArray[Any]) -> npt.NDArray[Any]:
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step = np.ceil(np.ptp(data) / 100)
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return np.arange(np.min(data), np.max(data) + step, step)
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else:
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- # For other data types, just have 128 evenly spaced bins
+ # For other data types, just have 99 evenly spaced bins
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return np.linspace(np.min(data), np.max(data), 100)
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