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File Content: ufunclike.cpython-35.opt-1.pyc

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zr
Module of functions that are like ufuncs in acting on arrays and optionally
storing results in an output array.

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    Round to nearest integer towards zero.

Round an array of floats element-wise to nearest integer towards zero.
    The rounded values are returned as floats.

Parameters
    ----------
    x : array_like
        An array of floats to be rounded
    y : ndarray, optional
        Output array

Returns
    -------
    out : ndarray of floats
        The array of rounded numbers

See Also
    --------
    trunc, floor, ceil
    around : Round to given number of decimals

Examples
    --------
    >>> np.fix(3.14)
    3.0
    >>> np.fix(3)
    3.0
    >>> np.fix([2.1, 2.9, -2.1, -2.9])
    array([ 2.,  2., -2., -2.])

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    Test element-wise for positive infinity, return result as bool array.

Parameters
    ----------
    x : array_like
        The input array.
    y : array_like, optional
        A boolean array with the same shape as `x` to store the result.

Returns
    -------
    y : ndarray
        A boolean array with the same dimensions as the input.
        If second argument is not supplied then a boolean array is returned
        with values True where the corresponding element of the input is
        positive infinity and values False where the element of the input is
        not positive infinity.

If a second argument is supplied the result is stored there. If the
        type of that array is a numeric type the result is represented as zeros
        and ones, if the type is boolean then as False and True.
        The return value `y` is then a reference to that array.

See Also
    --------
    isinf, isneginf, isfinite, isnan

Notes
    -----
    Numpy uses the IEEE Standard for Binary Floating-Point for Arithmetic
    (IEEE 754).

Errors result if the second argument is also supplied when `x` is a
    scalar input, or if first and second arguments have different shapes.

Examples
    --------
    >>> np.isposinf(np.PINF)
    array(True, dtype=bool)
    >>> np.isposinf(np.inf)
    array(True, dtype=bool)
    >>> np.isposinf(np.NINF)
    array(False, dtype=bool)
    >>> np.isposinf([-np.inf, 0., np.inf])
    array([False, False,  True], dtype=bool)

>>> x = np.array([-np.inf, 0., np.inf])
    >>> y = np.array([2, 2, 2])
    >>> np.isposinf(x, y)
    array([0, 0, 1])
    >>> y
    array([0, 0, 1])

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    Test element-wise for negative infinity, return result as bool array.

Parameters
    ----------
    x : array_like
        The input array.
    y : array_like, optional
        A boolean array with the same shape and type as `x` to store the
        result.

Returns
    -------
    y : ndarray
        A boolean array with the same dimensions as the input.
        If second argument is not supplied then a numpy boolean array is
        returned with values True where the corresponding element of the
        input is negative infinity and values False where the element of
        the input is not negative infinity.

If a second argument is supplied the result is stored there. If the
        type of that array is a numeric type the result is represented as
        zeros and ones, if the type is boolean then as False and True. The
        return value `y` is then a reference to that array.

See Also
    --------
    isinf, isposinf, isnan, isfinite

Notes
    -----
    Numpy uses the IEEE Standard for Binary Floating-Point for Arithmetic
    (IEEE 754).

Errors result if the second argument is also supplied when x is a scalar
    input, or if first and second arguments have different shapes.

Examples
    --------
    >>> np.isneginf(np.NINF)
    array(True, dtype=bool)
    >>> np.isneginf(np.inf)
    array(False, dtype=bool)
    >>> np.isneginf(np.PINF)
    array(False, dtype=bool)
    >>> np.isneginf([-np.inf, 0., np.inf])
    array([ True, False, False], dtype=bool)

>>> x = np.array([-np.inf, 0., np.inf])
    >>> y = np.array([2, 2, 2])
    >>> np.isneginf(x, y)
    array([1, 0, 0])
    >>> y
    array([1, 0, 0])

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Name	Size	Permission
__init__.cpython-35.opt-1.pyc	1131 bytes	0644
__init__.cpython-35.pyc	1131 bytes	0644
_datasource.cpython-35.opt-1.pyc	19733 bytes	0644
_datasource.cpython-35.pyc	19733 bytes	0644
_iotools.cpython-35.opt-1.pyc	28014 bytes	0644
_iotools.cpython-35.pyc	28014 bytes	0644
_version.cpython-35.opt-1.pyc	5182 bytes	0644
_version.cpython-35.pyc	5182 bytes	0644
arraypad.cpython-35.opt-1.pyc	44366 bytes	0644
arraypad.cpython-35.pyc	44366 bytes	0644
arraysetops.cpython-35.opt-1.pyc	12927 bytes	0644
arraysetops.cpython-35.pyc	12927 bytes	0644
arrayterator.cpython-35.opt-1.pyc	7528 bytes	0644
arrayterator.cpython-35.pyc	7528 bytes	0644
financial.cpython-35.opt-1.pyc	23604 bytes	0644
financial.cpython-35.pyc	23604 bytes	0644
format.cpython-35.opt-1.pyc	23998 bytes	0644
format.cpython-35.pyc	23998 bytes	0644
function_base.cpython-35.opt-1.pyc	131773 bytes	0644
function_base.cpython-35.pyc	131773 bytes	0644
index_tricks.cpython-35.opt-1.pyc	25147 bytes	0644
index_tricks.cpython-35.pyc	25147 bytes	0644
info.cpython-35.opt-1.pyc	6658 bytes	0644
info.cpython-35.pyc	6658 bytes	0644
nanfunctions.cpython-35.opt-1.pyc	43318 bytes	0644
nanfunctions.cpython-35.pyc	43318 bytes	0644
npyio.cpython-35.opt-1.pyc	58048 bytes	0644
npyio.cpython-35.pyc	58048 bytes	0644
polynomial.cpython-35.opt-1.pyc	37107 bytes	0644
polynomial.cpython-35.pyc	37107 bytes	0644
recfunctions.cpython-35.opt-1.pyc	30167 bytes	0644
recfunctions.cpython-35.pyc	30167 bytes	0644
scimath.cpython-35.opt-1.pyc	15056 bytes	0644
scimath.cpython-35.pyc	15056 bytes	0644
setup.cpython-35.opt-1.pyc	551 bytes	0644
setup.cpython-35.pyc	551 bytes	0644
shape_base.cpython-35.opt-1.pyc	25290 bytes	0644
shape_base.cpython-35.pyc	25290 bytes	0644
stride_tricks.cpython-35.opt-1.pyc	6324 bytes	0644
stride_tricks.cpython-35.pyc	6324 bytes	0644
twodim_base.cpython-35.opt-1.pyc	28183 bytes	0644
twodim_base.cpython-35.pyc	28183 bytes	0644
type_check.cpython-35.opt-1.pyc	15932 bytes	0644
type_check.cpython-35.pyc	15932 bytes	0644
ufunclike.cpython-35.opt-1.pyc	5237 bytes	0644
ufunclike.cpython-35.pyc	5237 bytes	0644
user_array.cpython-35.opt-1.pyc	12625 bytes	0644
user_array.cpython-35.pyc	12625 bytes	0644
utils.cpython-35.opt-1.pyc	28570 bytes	0644
utils.cpython-35.pyc	28570 bytes	0644