I have an array that might look like this:
ANOVAInputMatrixValuesArray = [[ 0.96488889, 0.73641667, 0.67521429, 0.592875,
0.53172222], [ 0.78008333, 0.59381
The simplest way to delete rows and columns from arrays is the numpy.delete method.
Suppose I have the following array x:
x = array([[1,2,3],
[4,5,6],
[7,8,9]])
To delete the first row, do this:
x = numpy.delete(x, (0), axis=0)
To delete the third column, do this:
x = numpy.delete(x,(2), axis=1)
So you could find the indices of the rows which have a 0 in them, put them in a list or a tuple and pass this as the second argument of the function.