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# numpy.geterr

numpy.geterr()

  Get the current way of handling floating-point errors.

  Returns:
    res dict

      A dictionary with keys “divide”, “over”, “under”, and “invalid”, whose values are from the strings “ignore”, “print”, “log”, “warn”, “raise”, and “call”. The keys represent possible floating-point exceptions, and the values define how these exceptions are handled.

  See also

  `geterrcall`, `seterr`, `seterrcall`

  Notes

  For complete documentation of the types of floating-point exceptions and treatment options, see `seterr`.

  Concurrency note: see Floating point error handling

  Examples

      >>> import numpy as np
      >>> np.geterr()
      {'divide': 'warn', 'over': 'warn', 'under': 'ignore', 'invalid': 'warn'}
      >>> np.arange(3.) / np.arange(3.)
      array([nan,  1.,  1.])
      RuntimeWarning: invalid value encountered in divide

      >>> oldsettings = np.seterr(all='warn', invalid='raise')
      >>> np.geterr()
      {'divide': 'warn', 'over': 'warn', 'under': 'warn', 'invalid': 'raise'}
      >>> np.arange(3.) / np.arange(3.)
      Traceback (most recent call last):
        ...
      FloatingPointError: invalid value encountered in divide
      >>> oldsettings = np.seterr(**oldsettings)  # restore original