Hi,
notice the (confusing, imho) different defaults for the axis of the
following related functions:
nansum(a, axis=-1)
Sum the array over the given axis, treating NaNs as 0.
sum(x, axis=None, dtype=None)
Sum the array over the given axis. The optional dtype argument
is the data type for intermediate calculations.
average(a, axis=0, weights=None, returned=False)
average(a, axis=0, weights=None, returned=False)
Average the array over the given axis. If the axis is None, average
over all dimensions of the array. Equivalent to a.mean(axis), but
with a default axis of 0 instead of None.
>>> numpy.__version__
'1.0b2.dev2973'
Shouldn't those kind of functions have the same default behavior? So is
this a bug or am I missing something?
Thanks for enlightenment,
Sven
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