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# numpy.array_repr

`numpy.``array_repr`(arr, max_line_width=None, precision=None, suppress_small=None)

  Return the string representation of an array.

  Parameters: | arr : ndarray Input array. max_line_width : int, optional The maximum number of columns the string should span. Newline characters split the string appropriately after array elements. precision : int, optional Floating point precision. Default is the current printing precision (usually 8), which can be altered using `set_printoptions`. suppress_small : bool, optional Represent very small numbers as zero, default is False. Very small is defined by precision, if the precision is 8 then numbers smaller than 5e-9 are represented as zero.
  Returns: | string : str The string representation of an array.

  See also

  `array_str`, `array2string`, `set_printoptions`

  Examples

      >>> np.array_repr(np.array([1,2]))
      'array([1, 2])'
      >>> np.array_repr(np.ma.array([0.]))
      'MaskedArray([ 0.])'
      >>> np.array_repr(np.array([], np.int32))
      'array([], dtype=int32)'

      >>> x = np.array([1e-6, 4e-7, 2, 3])
      >>> np.array_repr(x, precision=6, suppress_small=True)
      'array([ 0.000001,  0.      ,  2.      ,  3.      ])'