On Mon, 21 May 2012 13:04:26 -0700
Jeremy Traurig wrote:
> I have already tried creating a numpy array of integers using this
> code:
>
> import time
> time_format = %m/%d/%Y %H:%M:%S
> for x in range(len(datetime_IN)):
> junk = time.strptime(datetime[x],time_format)
> junk2 = [y for y i
On 5/21/2012 1:04 PM Jeremy Traurig said...
Hello,
I am reading a data file with a string time stamp as the first column,
example below:
'03/10/2010 02:00:00'
'03/10/2010 02:10:00'
'03/10/2010 02:20:00'
'03/10/2010 02:30:00'
etc to n number of rows.
I'm using the numpy function genfromtxt to r
Hello,
I am reading a data file with a string time stamp as the first column,
example below:
'03/10/2010 02:00:00'
'03/10/2010 02:10:00'
'03/10/2010 02:20:00'
'03/10/2010 02:30:00'
etc to n number of rows.
I'm using the numpy function genfromtxt to read this data:
import numpy as np
datetime_IN
