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array2string(a, max_line_width=None, precision=None, suppress_small=None, separator=' ', prefix='', style=<no value>, formatter=None, threshold=None, edgeitems=None, sign=None, floatmode=None, suffix='', *, legacy=None)

Notes

If a formatter is specified for a certain type, the :None:None:`precision` keyword is ignored for that type.

This is a very flexible function; array_repr and array_str are using array2string internally so keywords with the same name should work identically in all three functions.

Parameters

a : ndarray

Input array.

max_line_width : int, optional

Inserts newlines if text is longer than :None:None:`max_line_width`. Defaults to numpy.get_printoptions()['linewidth'] .

precision : int or None, 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'] .

separator : str, optional

Inserted between elements.

prefix : str, optional

suffix : str, optional

The length of the prefix and suffix strings are used to respectively align and wrap the output. An array is typically printed as:

prefix + array2string(a) + suffix

The output is left-padded by the length of the prefix string, and wrapping is forced at the column max_line_width - len(suffix) . It should be noted that the content of prefix and suffix strings are not included in the output.

style : _NoValue, optional

Has no effect, do not use.

deprecated

formatter : dict of callables, optional

If not None, the keys should indicate the type(s) that the respective formatting function applies to. Callables should return a string. Types that are not specified (by their corresponding keys) are handled by the default formatters. Individual types for which a formatter can be set are:

threshold : int, optional

Total number of array elements which trigger summarization rather than full repr. Defaults to numpy.get_printoptions()['threshold'] .

edgeitems : int, optional

Number of array items in summary at beginning and end of each dimension. Defaults to numpy.get_printoptions()['edgeitems'] .

sign : string, either '-', '+', or ' ', optional

Controls printing of the sign of floating-point types. If '+', always print the sign of positive values. If ' ', always prints a space (whitespace character) in the sign position of positive values. If '-', omit the sign character of positive values. Defaults to numpy.get_printoptions()['sign'] .

floatmode : str, optional

Controls the interpretation of the :None:None:`precision` option for floating-point types. Defaults to numpy.get_printoptions()['floatmode'] . Can take the following values:

'fixed': Always print exactly :None:None:`precision` fractional digits, even if this would print more or fewer digits than necessary to specify the value uniquely.
'unique': Print the minimum number of fractional digits necessary to represent each value uniquely. Different elements may have a different number of digits. The value of the :None:None:`precision` option is ignored.
'maxprec': Print at most :None:None:`precision` fractional digits, but if an element can be uniquely represented with fewer digits only print it with that many.
'maxprec_equal': Print at most :None:None:`precision` fractional digits, but if every element in the array can be uniquely represented with an equal number of fewer digits, use that many digits for all elements.

legacy : string or `False`, optional

If set to the string :None:None:`'1.13'` enables 1.13 legacy printing mode. This approximates numpy 1.13 print output by including a space in the sign position of floats and different behavior for 0d arrays. If set to :None:None:`False`, disables legacy mode. Unrecognized strings will be ignored with a warning for forward compatibility.

versionadded

Raises

TypeError: if a callable in formatter does not return a string.

Returns

array_str : str: String representation of the array.

Return a string representation of an array.

Examples

>>> x = np.array([1e-16,1,2,3])
... np.array2string(x, precision=2, separator=',',
...                       suppress_small=True)
'[0.,1.,2.,3.]'

>>> x  = np.arange(3.)
... np.array2string(x, formatter={'float_kind':lambda x: "%.2f" % x})
'[0.00 1.00 2.00]'

>>> x  = np.arange(3)
... np.array2string(x, formatter={'int':lambda x: hex(x)})
'[0x0 0x1 0x2]'

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