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# 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.

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