When to use np.quantile and np.percentile?

I am trying to distinguish the scenario in which np.quantile() or np.percentile() should be used.

>>> import numpy as np >>> a = np.array([[10, 7, 4], [3, 2, 1]]) >>> np.quantile(a, 0.5) 3.5 >>> np.percentile(a, 50) 3.5 

Both of them give the same result and call _quantile_unchecked() in their implementation.

What are the best use cases?

1 Answer

They are equivalent. If you'd rather specify q from [0, 1], use np.quantile. For [0, 100], use np.percentile.

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