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Module « numpy.matlib »

Fonction set_printoptions - module numpy.matlib

Signature de la fonction set_printoptions

def set_printoptions(precision=None, threshold=None, edgeitems=None, linewidth=None, suppress=None, nanstr=None, infstr=None, formatter=None, sign=None, floatmode=None, *, legacy=None, override_repr=None) 

Description

help(numpy.matlib.set_printoptions)

Set printing options.

These options determine the way floating point numbers, arrays and
other NumPy objects are displayed.

Parameters
----------
precision : int or None, optional
    Number of digits of precision for floating point output (default 8).
    May be None if `floatmode` is not `fixed`, to print as many digits as
    necessary to uniquely specify the value.
threshold : int, optional
    Total number of array elements which trigger summarization
    rather than full repr (default 1000).
    To always use the full repr without summarization, pass `sys.maxsize`.
edgeitems : int, optional
    Number of array items in summary at beginning and end of
    each dimension (default 3).
linewidth : int, optional
    The number of characters per line for the purpose of inserting
    line breaks (default 75).
suppress : bool, optional
    If True, always print floating point numbers using fixed point
    notation, in which case numbers equal to zero in the current precision
    will print as zero.  If False, then scientific notation is used when
    absolute value of the smallest number is < 1e-4 or the ratio of the
    maximum absolute value to the minimum is > 1e3. The default is False.
nanstr : str, optional
    String representation of floating point not-a-number (default nan).
infstr : str, optional
    String representation of floating point infinity (default inf).
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. (default '-')

    .. versionchanged:: 2.0
         The sign parameter can now be an integer type, previously
         types were floating-point types.

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:

    - 'bool'
    - 'int'
    - 'timedelta' : a `numpy.timedelta64`
    - 'datetime' : a `numpy.datetime64`
    - 'float'
    - 'longfloat' : 128-bit floats
    - 'complexfloat'
    - 'longcomplexfloat' : composed of two 128-bit floats
    - 'numpystr' : types `numpy.bytes_` and `numpy.str_`
    - 'object' : `np.object_` arrays

    Other keys that can be used to set a group of types at once are:

    - 'all' : sets all types
    - 'int_kind' : sets 'int'
    - 'float_kind' : sets 'float' and 'longfloat'
    - 'complex_kind' : sets 'complexfloat' and 'longcomplexfloat'
    - 'str_kind' : sets 'numpystr'
floatmode : str, optional
    Controls the interpretation of the `precision` option for
    floating-point types. Can take the following values
    (default maxprec_equal):

    * 'fixed': Always print exactly `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
            `precision` option is ignored.
    * 'maxprec': Print at most `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 `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 ``'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. This also
    enables 1.21 legacy printing mode (described below).

    If set to the string ``'1.21'`` enables 1.21 legacy printing mode. This
    approximates numpy 1.21 print output of complex structured dtypes
    by not inserting spaces after commas that separate fields and after
    colons.

    If set to ``'1.25'`` approximates printing of 1.25 which mainly means
    that numeric scalars are printed without their type information, e.g.
    as ``3.0`` rather than ``np.float64(3.0)``.

    If set to ``'2.1'``, shape information is not given when arrays are
    summarized (i.e., multiple elements replaced with ``...``).

    If set to `False`, disables legacy mode.

    Unrecognized strings will be ignored with a warning for forward
    compatibility.

    .. versionchanged:: 1.22.0
    .. versionchanged:: 2.2

override_repr: callable, optional
    If set a passed function will be used for generating arrays' repr.
    Other options will be ignored.

See Also
--------
get_printoptions, printoptions, array2string

Notes
-----
`formatter` is always reset with a call to `set_printoptions`.

Use `printoptions` as a context manager to set the values temporarily.

Examples
--------
Floating point precision can be set:

>>> import numpy as np
>>> np.set_printoptions(precision=4)
>>> np.array([1.123456789])
[1.1235]

Long arrays can be summarised:

>>> np.set_printoptions(threshold=5)
>>> np.arange(10)
array([0, 1, 2, ..., 7, 8, 9], shape=(10,))

Small results can be suppressed:

>>> eps = np.finfo(float).eps
>>> x = np.arange(4.)
>>> x**2 - (x + eps)**2
array([-4.9304e-32, -4.4409e-16,  0.0000e+00,  0.0000e+00])
>>> np.set_printoptions(suppress=True)
>>> x**2 - (x + eps)**2
array([-0., -0.,  0.,  0.])

A custom formatter can be used to display array elements as desired:

>>> np.set_printoptions(formatter={'all':lambda x: 'int: '+str(-x)})
>>> x = np.arange(3)
>>> x
array([int: 0, int: -1, int: -2])
>>> np.set_printoptions()  # formatter gets reset
>>> x
array([0, 1, 2])

To put back the default options, you can use:

>>> np.set_printoptions(edgeitems=3, infstr='inf',
... linewidth=75, nanstr='nan', precision=8,
... suppress=False, threshold=1000, formatter=None)

Also to temporarily override options, use `printoptions`
as a context manager:

>>> with np.printoptions(precision=2, suppress=True, threshold=5):
...     np.linspace(0, 10, 10)
array([ 0.  ,  1.11,  2.22, ...,  7.78,  8.89, 10.  ], shape=(10,))

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