I really want to avoid these annoying numpy warnings since I have to deal with a lot of NaNs. I know this is usually done with seterr, but for some reason here it does not work:

import numpy as np
data = np.random.random(100000).reshape(10, 100, 100) * np.nan
np.seterr(all="ignore")
np.nanmedian(data, axis=[1, 2])

It gives me a runtime warning even though I set numpy to ignore all errors...any help?

Edit (this is the warning that is recieved):

/opt/local/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-p‌​ackages/numpy/lib/nanfunctions.py:612: RuntimeWarning: All-NaN slice encountered warnings.warn("All-NaN slice encountered", RuntimeWarning)

Warnings can often be useful and in most cases I wouldn't advise this, but you can always make use of the Warnings module to ignore all warnings with filterwarnings:

warnings.filterwarnings('ignore')

Should you want to suppress uniquely your particular error, you could specify it with:

with warnings.catch_warnings():
    warnings.filterwarnings('ignore', r'All-NaN (slice|axis) encountered')