Mean_var, mean_std and tests are now ready. (https://github.com/soundappraisal/numpy/tree/stdmean-dev-001)
Some decisions made during implementation: - the output shape of mean follows the output shape of the variance or the standard deviation. So it responds in the same way to the keepdims flag as the variance and the standard deviation. - the resizing of the mean is placed in _mean_var the overhead on the old functions std and var is minimal as they set mean_out to None. - the intermediate mean used can not be replaced with the mean produced by _mean as the output of the latter can not be broadcast to the incoming data. _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
