deleting rows in numpy array

Question

I have an array that might look like this:

ANOVAInputMatrixValuesArray = [[ 0.96488889, 0.73641667, 0.67521429, 0.592875, 
0.53172222], [ 0.78008333, 0.59381         


        

Answer 1

Here's a one liner (yes, it is similar to user333700's, but a little more straightforward):

>>> import numpy as np
>>> arr = np.array([[ 0.96488889, 0.73641667, 0.67521429, 0.592875, 0.53172222], 
                [ 0.78008333, 0.5938125, 0.481, 0.39883333, 0.]])
>>> print arr[arr.all(1)]
array([[ 0.96488889,  0.73641667,  0.67521429,  0.592875  ,  0.53172222]])

By the way, this method is much, much faster than the masked array method for large matrices. For a 2048 x 5 matrix, this method is about 1000x faster.

By the way, user333700's method (from his comment) was slightly faster in my tests, though it boggles my mind why.