Description
numpy.maximum now raises a RuntimeWarning when encountering a NaN, but the documentation says it propagates NaNs and even goes to the trouble of saying exactly how they are propagated, which makes it seem like it shouldn't give a warning.
Reproducing code example:
In [1]: import numpy as np
In [2]: x = np.array([1, 2, np.nan], dtype=float)
In [3]: np.maximum(x, x)
/home/tudor/anaconda3/bin/ipython:1: RuntimeWarning: invalid value encountered in maximum
#!/home/tudor/anaconda3/bin/python
Out[3]: array([ 1., 2., nan])Numpy/Python version information:
In [6]: import sys, numpy; print(numpy.__version__, sys.version)
1.15.1 3.6.6 |Anaconda custom (64-bit)| (default, Jun 28 2018, 17:14:51)
[GCC 7.2.0]