numpy.array_repr()

numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None) [source]

Return the string representation of an array.

Parameters:

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.

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.

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.      ])'

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.array_repr.html

doc_NumPy

2025-01-10 15:47:30

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