jax.numpy.array_repr#
- jax.numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None)[source]#
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:
See also
array_str
,array2string
,set_printoptions
Examples
>>> import numpy as np >>> 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. ])'