numpy.array_repr — NumPy v1.11 Manual (original) (raw)

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 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.

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.

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. ])'