On Friday, December 20, 2013 11:18:53 AM UTC+5:30, chao dong wrote:
> HI, everybody. When I try to use numpy to deal with my dataset in the style
> of csv, I face a little 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}
What does "dict like {1,2,3}" mean??
On recent python thats a set
On older ones its probably an error.
So you can mean one of:
1. Set([1,2,3])
2. List: [1,2,3]
3. Tuple: (1,2,3)
4. Dict: {"S":1, "Q":2, "C":3}
5. An enumeration (on very recent pythons)
6. A simulation of an enum using classes (or somesuch)
7. Something else
> Now the question is, when I use numpy.loadtxt, I must do all things above
> in just one line and one fuction. So as a new user in numpy, I don't know how
> to solve it.
I suggest you supply a couple of rows of your input
And the corresponding python data-structures you desire
Someone should then suggest how to go about it
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