Python: How to use the method loadtxt() of numpy neatly?

Question

When I try to use numpy to deal with my dataset in the style of csv, I face a problem.

In my dataset of the csv file, some columns are string that can not convert to float easily. Some of them can ignore, but other columns I need to change the data to a enum style.

for example, one column just contain three kinds : S,Q,C. Each of them can declare one meaning, so I must convert them to a dict just like {1,2,3}

Now the question is, when I use numpy.loadtxt, I must do all things above in just one line and one function.

Answer 1

Basically numpy.loadtxt() method of Python used for loading big text file . Its not very efficient to use this method.
You can use genfromtxt method loke below:

import numpy as np
print np.genfromtxt('test.txt',dtype='str')

if test.txt has data:
very good
be happy

Output:
[['very' 'good'], ['be' 'happy']]