nanmedian will sometimes return inf instead of a proper value for numbers that are close the maximum value of floats data type. This behaviour seems to depend on the usage of the "axis" keyword ...

Numpy has, for no apparent reason, decided to change the copy keyword behavior in np.array and np.asarray, as described here: https://numpy.org/devdocs/numpy_2_0 ...