Class finfo

numpy/_core/getlimits.py:58–342

finfo(dtype) Machine limits for floating point types. Attributes ---------- bits : int The number of bits occupied by the type. dtype : dtype Returns the dtype for which `finfo` returns information. For complex input, the returned dtype is the assoc

@set_module('numpy')
class finfo:
    """
    finfo(dtype)

    Machine limits for floating point types.

    Attributes
    ----------
    bits : int
        The number of bits occupied by the type.
    dtype : dtype
        Returns the dtype for which `finfo` returns information. For complex
        input, the returned dtype is the associated ``float*`` dtype for its
        real and complex components.
    eps : float
        The difference between 1.0 and the next smallest representable float
        larger than 1.0. For example, for 64-bit binary floats in the IEEE-754
        standard, ``eps = 2**-52``, approximately 2.22e-16.
    epsneg : float
        The difference between 1.0 and the next smallest representable float
        less than 1.0. For example, for 64-bit binary floats in the IEEE-754
        standard, ``epsneg = 2**-53``, approximately 1.11e-16.
    iexp : int
        The number of bits in the exponent portion of the floating point
        representation.
    machep : int
        The exponent that yields `eps`.
    max : floating point number of the appropriate type
        The largest representable number.
    maxexp : int
        The smallest positive power of the base (2) that causes overflow.
        Corresponds to the C standard MAX_EXP.
    min : floating point number of the appropriate type
        The smallest representable number, typically ``-max``.
    minexp : int
        The most negative power of the base (2) consistent with there
        being no leading 0's in the mantissa. Corresponds to the C
        standard MIN_EXP - 1.
    negep : int
        The exponent that yields `epsneg`.
    nexp : int
        The number of bits in the exponent including its sign and bias.
    nmant : int
        The number of explicit bits in the mantissa (excluding the implicit
        leading bit for normalized numbers).
    precision : int
        The approximate number of decimal digits to which this kind of
        float is precise.
    resolution : floating point number of the appropriate type
        The approximate decimal resolution of this type, i.e.,
        ``10**-precision``.
    tiny : float
        An alias for `smallest_normal`, kept for backwards compatibility.
    smallest_normal : float
        The smallest positive floating point number with 1 as leading bit in
        the mantissa following IEEE-754 (see Notes).
    smallest_subnormal : float
        The smallest positive floating point number with 0 as leading bit in