Difference Between numpy.genfromtxt and numpy.loadtxt, and Unpack
You are correct. Using np.genfromtxt gives you some options like the parameters missing_values, filling_values that can help you dealing with an incomplete csv. Example:
1,2,,,56,,8,,11,,,,Could be read with:
filling_values = (111, 222, 333, 444, 555) # one for each columnnp.genfromtxt(filename, delimiter=',', filling_values=filling_values) #array([[ 1., 2., 333., 444., 5.],# [ 6., 222., 8., 444., 555.],# [ 11., 222., 333., 444., 555.]])The parameter unpack is useful when you want to put each column of the text file in a different variable. Example, you have the text file with columns x, y, z, then:
x, y, z = np.loadtxt(filename, unpack=True)Note that this works the same as
x, y, z = np.loadtxt(filename).TBy default iterating over a 2-D array means iterating over the lines, that's why you have to transpose or use unpack=True in this example.