numpy.finfo

class numpy.finfo(dtype) [source]

Machine limits for floating point types.

Parameters:	dtype : float, dtype, or instance Kind of floating point data-type about which to get information.

See also

MachAr

The implementation of the tests that produce this information.

iinfo

The equivalent for integer data types.

Notes

For developers of NumPy: do not instantiate this at the module level. The initial calculation of these parameters is expensive and negatively impacts import times. These objects are cached, so calling finfo() repeatedly inside your functions is not a problem.

Attributes:

bits : int The number of bits occupied by the type. eps : float The smallest representable positive number such that 1.0 + eps != 1.0. Type of eps is an appropriate floating point type. epsneg : floating point number of the appropriate type The smallest representable positive number such that 1.0 - epsneg != 1.0. iexp : int The number of bits in the exponent portion of the floating point representation. machar : MachAr The object which calculated these parameters and holds more detailed information. 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. 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. 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 bits in the mantissa. 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 The smallest positive usable number. Type of tiny is an appropriate floating point type.