[Numpy-discussion] converting array of timedelta to array of integers.

[Keith Goodman]

On Tue, Aug 26, 2008 at 11:23 AM, Ryan Neve <ryan.neve at gmail.com> wrote:
> Apologies in advance if this is an obvious answer, but I'm new to most of
> this.
>
> My overall goal is to produce a contour plot of some irregular time series
> data.
>
> I've imported the data from mySQL into three arrays x,y,and z where x is an
> array of datetime.timedelta objects.
>
> I need an array of the values of x converted into an array of integers
> representing the number of minutes in the timedelta.
>
> I've tried a few things, and spent hours searching for examples, but to no
> avail.
>
> Once I get the x array as integers, I can use griddata()

I got stuck:

>> import numpy as np
>> import datetime
>>
>> x = np.array([datetime.timedelta(1), datetime.timedelta(2)])
>> def convert(x):
   ...:     return x.days * 24.0 * 60 + x.seconds / 60.0 +
x.microseconds / 6000.0
   ...:
>> convert(x[0])
   1440.0
>> convert(x[1])
   2880.0
>> np.apply_along_axis(convert, 0, x)
---------------------------------------------------------------------------
AttributeError: 'numpy.ndarray' object has no attribute 'days'