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.
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 0s 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.
See also
- numpy.lib.machar.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.
