I have a simple numpy datatype:
spec_dtype = np.dtype([ ('wavelength', float), ('intensity', float) ])
I chose to use this in my program because it's very easy to read in 2-column spectral data files using the genfromtxt() method. Therefore, I made a fairly sizable program around this datatype. Now I'm running into a situation wherein I need to pass internal data lists for the "wavelength" and "intensity", rather them importing them externally from a file. This is giving me headaches with manual array creation.
Imagine I have a list of wavelengths and intensity variables pre-stored in my program. For example:
wavelengths=[300.00, 200.00, 100.00] intensities=[23, 32, 43]
I'd like to simply put these into an array of spec dtype. At first I tried:
This actually doesn't produce the type of array that I'd expect. Instead, I had to iterate through the array and append the items one by one. For example:
myarray=np.empty(,dtype=spec_dtype) for i in range(len(wavelengths)): mydata[i]=((wavelengths[i]), (intensities[i]))
Is there anyway to avoid this and do it all in one fell swoop?