I've renamed the kwarg to `initial`. I'm willing to make the object dtype
changes as well, if someone pointed me to relevant bits of code.
Unfortunately, currently, the identity is only used for object dtypes if
the reduction is empty. I think this is to prevent things like `0` being
passed in the
On Mon, 2018-04-09 at 13:37 +0200, Hameer Abbasi wrote:
> I've renamed the kwarg to `initial`. I'm willing to make the object
> dtype changes as well, if someone pointed me to relevant bits of
> code.
>
> Unfortunately, currently, the identity is only used for object dtypes
> if the reduction is e
>
> The reason would be the case of NaN which is not a possible initial
> value for the reduction.
>
Ah, I didn't think of that. However, at least for `min` and `max` this can
be accomplished with `fmin` and `fmax`.
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Numpy has three histogram functions - histogram, histogram2d, and
histogramdd.
histogram is by far the most widely used, and in the absence of weights and
normalization, returns an np.intp count for each bin.
histogramdd (for which histogram2d is a wrapper) returns np.float64 in all
circumstances
