[Numpy-discussion] how to delete a particular column or row from numpy array based on some rule or value

[Sachin Kumar Sharma]

BB,

In a numpy array of m x n size, I would like to delete few rows when a given element in that row is 'nan' or say any other value.

For e.g.  as in example given below, if I wish to delete a row when the 3rd element of row is zero, or if 3rd, 4th, 5th element are zero or either of 3rd, 4th and 5th element is zero.
array([[ 1900. ,     nan,     nan,     nan,     nan,     nan],
       [ 1900.5,     nan,     nan,     nan,     nan,     nan],
       [ 1901. ,     nan,     nan,     nan,     nan,     nan],
       ...,
       [ 6724. ,     nan,     nan,     nan,     nan,     nan],
       [ 6724.5,     nan,     nan,     nan,     nan,     nan],
       [ 6725. ,     nan,     nan,     nan,     nan,     nan]])
Cheers

Sachin
************************************************************************
Sachin Kumar Sharma
Senior Geomodeler

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