BUG: Printing float16 with NumPy>=2.0 gives overflow warning

[rhshadrach]

print(pd.Series([1.0], dtype="float16"))
# RuntimeWarning: overflow encountered in cast np.array([1.0], dtype="float16") > 1e6
# 0    1.0
# dtype: float16

This occurs here:

pandas/pandas/io/formats/format.py

Line 1446 in bc34e24

has_large_values = (abs_vals > 1e6).any()

Perhaps we just set has_large_values to be false for float16?

[Pedro-Santos04]

take

[mroeschke]

I know we disallow float16 in Index and in many places upcast float16 inputs to float32/float64. I think eventually we should deprecate float16 supports everywhere

[rhshadrach]

Thanks @mroeschke - searching through the issues I see now that it was never really supported in pandas. I'll remove it from the docs in #60987.