xorbits.numpy.array_repr#

xorbits.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) – Inserts newlines if text is longer than max_line_width. Defaults to numpy.get_printoptions()['linewidth'].

  • precision (int, optional) – Floating point precision. Defaults to numpy.get_printoptions()['precision'].

  • suppress_small (bool, optional) – Represent numbers “very close” to zero as zero; default is False. Very close is defined by precision: if the precision is 8, e.g., numbers smaller (in absolute value) than 5e-9 are represented as zero. Defaults to numpy.get_printoptions()['suppress'].

Returns

string – The string representation of an array.

Return type

str

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.      ])'

Warning

This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.