jiahao

#!/usr/bin/env python

'''
Pure Python implementation of some numerical optimizers

Created on Jan 21, 2011

@author Jiahao Chen
'''

zonca

import numpy as np

def rebin(a, new_shape):
    """
    Resizes a 2d array by averaging or repeating elements, 
    new dimensions must be integral factors of original dimensions

    Parameters
    ----------
    a : array_like

jgomezdans

# Start by storing model names in an array. This keeps order, but prolly not important
models = [ 'casa', 'lpj', 'jules', 'middle_aged_glamour_model']

# The year list that you are going to loop over
years = np.arange ( 1990, 2011 ) 

# Model variables for each model
# You need to keep each list in the order they appear in the output. That's fairly important.
model_var = {  'casa':[ 'doy','NEE', 'NPP'], 'lpj':['year', 'doy','NEE', "GPP"], \
                       'doy',middle_aged_glamour_model']=[ 'doy','you','dont','wanna_know'] }

brantfaircloth

# Create a new repo at github called `test`
# On your local machine:
$ cd test
$ git init
Initialized empty Git repository in /Users/bcf/Git/me/test/.git/ 
$ touch README
$ git add .
$ git commit -m 'first commit'

# wire everything up to the remote at github (replace yourName)