On Tue, Aug 26, 2008 at 11:47 AM, Keith Goodman <[EMAIL PROTECTED]> wrote: > 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'
This is the first time I've used vectorize. Seems to work: >> vconvert = np.vectorize(convert) >> vconvert(x) array([ 1440., 2880.]) _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion