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# numpy.compress

`numpy.``compress`(condition, a, axis=None, out=None)

  Return selected slices of an array along given axis.

  Parameters: | condition : array_like Boolean 1-D array selecting which entries to return. If len(condition) is less than the size of a along the given axis, then output is truncated to the length of the condition array. a : array_like Array from which to extract a part. axis : int, optional Axis along which to take slices. If None (default), work on the flattened array. out : ndarray, optional Output array. Its type is preserved and it must be of the right shape to hold the output.
  Returns: | compressed_array : ndarray A copy of a without the slices along axis for which condition is false.

  See also

  `ndarray.compress`
    Equivalent method.

  Examples

      >>> a = np.array([[1, 2], [3, 4]])
      >>> np.compress([0, 1], a, axis=0)
      array([[3, 4]])
      >>> np.compress([1], a, axis=1)
      array([[1],
             [3]])
      >>> np.compress([0,1,1], a)
      array([2, 3])

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