Machine limits for floating point types.
- dtypefloat, dtype, or instance
Kind of floating point data-type about which to get information.
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.
The number of bits occupied by the type.
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.
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.
The number of bits in the exponent portion of the floating point representation.
The object which calculated these parameters and holds more detailed information.
The exponent that yields eps.
- maxfloating point number of the appropriate type
The largest representable number.
The smallest positive power of the base (2) that causes overflow.
- minfloating point number of the appropriate type
The smallest representable number, typically
The most negative power of the base (2) consistent with there being no leading 0’s in the mantissa.
The exponent that yields epsneg.
The number of bits in the exponent including its sign and bias.
The number of bits in the mantissa.
The approximate number of decimal digits to which this kind of float is precise.
- resolutionfloating point number of the appropriate type
The approximate decimal resolution of this type, i.e.,
The smallest positive usable number. Type of tiny is an appropriate floating point type.