NumPy Input and Output: array_repr() function

Last update on August 19 2022 21:51:10 (UTC/GMT +8 hours)

numpy.array_repr() function

The array_repr() function is used to get the string representation of an array.

Syntax:

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

Version: 1.15.0

Parameter:

Name	Description	Required / Optional
arr	Input array. ndarray	Required
max_line_width	The maximum number of columns the string should span. Newline characters split the string appropriately after array elements. int	Optional
precision	Floating point precision. Default is the current printing precision (usually 8), which can be altered using set_printoptions. int	Optional
suppress_small	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. bool	Optional

Returns: string : str
The string representation of an array.

NumPy.array_repr() method Example-1:

>>> import numpy as np
>>> np.array_repr(np.array([2,4]))

Output:

'array([2, 4])'

NumPy.array_repr() method Example-2:

>>> import numpy as np
>>> np.array_repr(np.ma.array([0.]))

Output:

'MaskedArray([ 0.])'

NumPy.array_repr() method Example-3:

>>> import numpy as np
>>> np.array_repr(np.array([], np.int32))

Output:

'array([], dtype=int32)'

NumPy.array_repr() method Example-4:

>>> import numpy as np
>>> a = np.array([1e-6, 4e-7, 3, 5])
>>> np.array_repr(a, precision=6, suppress_small=True)

Output:

'array([0.000001, 0.      , 3.      , 5.      ])'

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