numpy.geterrcall¶
-
numpy.
geterrcall
()[source]¶ Return the current callback function used on floating-point errors.
When the error handling for a floating-point error (one of “divide”, “over”, “under”, or “invalid”) is set to ‘call’ or ‘log’, the function that is called or the log instance that is written to is returned by
geterrcall
. This function or log instance has been set withseterrcall
.Returns: errobj : callable, log instance or None
The current error handler. If no handler was set through
seterrcall
,None
is returned.See also
Notes
For complete documentation of the types of floating-point exceptions and treatment options, see
seterr
.Examples
>>> np.geterrcall() # we did not yet set a handler, returns None
>>> oldsettings = np.seterr(all='call') >>> def err_handler(type, flag): ... print("Floating point error (%s), with flag %s" % (type, flag)) >>> oldhandler = np.seterrcall(err_handler) >>> np.array([1, 2, 3]) / 0.0 Floating point error (divide by zero), with flag 1 array([ Inf, Inf, Inf])
>>> cur_handler = np.geterrcall() >>> cur_handler is err_handler True