genfromtxt won't unpack if dtype=None

Not sure if this is a bug or a feature but if I use:

f_data = np.genfromtxt('file.dat', dtype=None, unpack=True)

where file.dat is a standard data file with several columns (ie: http://pastebin.com/ihEW2dxS) the result is not transposed as one would expect having set unpack=True.

For example, the line f_data = np.loadtxt('file.dat', unpack=True) works as expected.

[moi90]

I also experience this. loadtxt is a bit more clever:

if unpack:
        if len(dtype_types) > 1:
            # For structured arrays, return an array for each field.
            return [X[field] for field in dtype.names]
        else:
            return X.T

Why doesn’t genfromtxt do this?

[WarrenWeckesser]

The suggestion @moi90 made a couple years ago is correct. genfromtxt should do the same thing as loadtxt.

I think it will be easy to fix, so I’ve tagged the issue as a “good first issue”.