On Fri, 18 Mar 2011 20:27:17 +, Rohaq wrote:
> There could be a lot more than 2 other columns, Result3,Result4, etc.,
> so I need to code it to be scalable; if this were acting like a normal
> dict, I could write a loop that iterates over the keys, and loads the
> results data into a new objec
On Fri, Mar 18, 2011 at 4:27 PM, Rohaq wrote:
> I've got a CSV file with the following layout:
>
> Location,Result1,Result2
> 1,0,0
> 2,0,0
> 3,1,0
> 4,1,0
> 5,1,1
> 6,0,1
> 7,0,1
> 8,0,0
>
> ...etc., and I've loaded it using the following:
>
> import numpy as np
> data = np.genfromtxt('file.csv',
I've got a CSV file with the following layout:
Location,Result1,Result2
1,0,0
2,0,0
3,1,0
4,1,0
5,1,1
6,0,1
7,0,1
8,0,0
...etc., and I've loaded it using the following:
import numpy as np
data = np.genfromtxt('file.csv',delimiter=',',dtype=None,names=True)
Resulting in the following:
array([(1
