numpy.geterrcall — NumPy v1.11 Manual (original) (raw)
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 bygeterrcall. 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. |
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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