jax.numpy.array_repr#

jax.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 thanmax_line_width.Defaults tonumpy.get_printoptions()['linewidth'].

• precision (int,optional) – Floating point precision.Defaults tonumpy.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 aszero.Defaults tonumpy.get_printoptions()['suppress'].

Returns:

string – The string representation of an array.

Return type:

str

See also

array_str,array2string,set_printoptions

Examples

>>>importnumpyasnp>>>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.      ])'