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# numpy.ma.compress_rows

ma.compress_rows(a)

  Suppress whole rows of a 2-D array that contain masked values.

  This is equivalent to `np.ma.compress_rowcols(a, 0)`, see `compress_rowcols` for details.

  Parameters:
    x array_like, MaskedArray

      The array to operate on. If not a MaskedArray instance (or if no array elements are masked), x is interpreted as a MaskedArray with mask set to `nomask`. Must be a 2D array.

  Returns:
    compressed_array ndarray

      The compressed array.

  See also

  `compress_rowcols`

  Examples

      >>> import numpy as np
      >>> a = np.ma.array(np.arange(9).reshape(3, 3), mask=[[1, 0, 0],
      ...                                                   [1, 0, 0],
      ...                                                   [0, 0, 0]])
      >>> np.ma.compress_rows(a)
      array([[6, 7, 8]])