NumPy: calculate averages with NaNs removed

Question

How can I calculate matrix mean values along a matrix, but to remove nan values from calculation? (For R people, think na.rm = TRUE).

Here

Answer 1

How about using Pandas to do this:

import numpy as np
import pandas as pd
dat = np.array([[1, 2, 3], [4, 5, np.nan], [np.nan, 6, np.nan], [np.nan, np.nan, np.nan]])
print dat
print dat.mean(1)

df = pd.DataFrame(dat)
print df.mean(axis=1)

Gives:

0    2.0
1    4.5
2    6.0
3    NaN