numpy.finfo

class numpy.finfo

Machine limits for floating point types.

Parameters:

dtype : floating point type, dtype, or instance

The kind of floating point data type to get information about.

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

eps	floating point number of the appropriate type	The smallest representable number such that 1.0 + eps != 1.0.
epsneg	floating point number of the appropriate type	The smallest representable 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	floating point number of the appropriate type	The smallest-magnitude usable number.