Converting a 2D numpy array to a structured array

Question

I\'m trying to convert a two-dimensional array into a structured array with named fields. I want each row in the 2D array to be a new record in the structured array. Unfortu

Answer 1

There's a lot of confusion here between "record array" and "structured array". Here's my short solution for a structured array.

dtype = np.dtype([("Col1","S8"),("Col2","f8"),("Col3","i8")])
myarray = np.array([("Hello",2.5,3),("World",3.6,2)], dtype=dtype)
np.array(np.rec.fromarrays(myarray.transpose(), names=dtype.names).astype(dtype=dtype).tolist(), dtype=dtype)

So, with the assumption that dtype is defined, this is a one-liner.