On Tue, Aug 26, 2008 at 11:23 AM, Ryan Neve <[EMAIL PROTECTED]> 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' _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion