For comparison: >>> float32(None) nan >>> float(None) Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: float() argument must be a string or a number
On Mon, Jan 28, 2013 at 5:09 PM, Bradley M. Froehle <[email protected]> wrote: >>>> import numpy as np >>>> np.double(None) > nan > > On Mon, Jan 28, 2013 at 3:48 PM, Geoffrey Irving <[email protected]> wrote: >> >> I discovered this from C via the PyArray_FromAny function, but here it >> is in Python: >> >> >>> asarray(None,dtype=float) >> array(nan) >> >> Is this expected or documented behavior? > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
