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
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.