Perfect that works how I envisaged, I am an idiot, I clearly overcomplicated
my solution.
thanks.
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Hi,
this is probably my lack of understanding...when i set up some masks for 2
arrays and try to divide one by the other I get a runtime warning. Seemingly
this is when I am asking python to divide one nan by the other, however I
thought by masking the array numpy would then know to ignore these
Hi,
I don't know about pip but if you use macports all the python 2.6, scipy et
al libs all set up fine with problems on snow leopard. If you really want
2.7 then not sure what to say.
Martin
celil wrote:
>
> Hello,
>
> I just installed numpy on Snow Leopard using pip. However, running the
Yep that will do nicely, code becomes
import sys, os, glob
import numpy as np
def averageEightDays(files, numrows, numcols, year, doy):
""" Read in 8 files at a time, sum the valid LST, keep a count of
the valid pixels and average the result every 8days. """
Vincent Schut-2 wrote:
>
> Oh, and minor issue: creating a array of zeros and then multiplying with
> -999 still makes an array of zeros... I'd incorporated an array of
> *ones* multiplied with -999, because for the last chunk of days you
> could end up with a 8day array only partly filled wi
Thanks...I have adopted that and as you said it is a lot neater! Though I
need to keep the pixel count for a weighting in another piece of code so
have amended your logic slightly.
#!/usr/bin/env python
import sys, os, glob
import numpy as np
def averageEightDays(filenamesList, numrows, numcol
= np.zeros((numrows, numcols), dtype=np.float32)
count = np.zeros((numrows, numcols), dtype=np.int)
averageEightDays('lst_scr_2007*.gra', lst, count, numrows, numcols)
Pierre GM-2 wrote:
>
> On Nov 25, 2009, at 4:13 PM, mdekauwe wrote:
&g
Does anyone have any suggestions on how to match up the logic?
mdekauwe wrote:
>
> Hi I have written some code and I would appreciate any suggestions to make
> better use of the numpy arrays functions to make it a bit more efficient
> and less of a port from C. Any tricks are thoughts
Hi I have written some code and I would appreciate any suggestions to make
better use of the numpy arrays functions to make it a bit more efficient and
less of a port from C. Any tricks are thoughts would be much appreciated.
The code reads in a series of images, collects a running total if the v
