Numpy where() on a 2D matrix

For the general case, where your search string can be in any column, you can do this:

>>> rows, cols = np.where(t == 'bar')
>>> t[rows]
array([['2', '3', '4', 'bar'],
       ['8', '9', '1', 'bar']],
      dtype="|S11")