# -*- coding: utf-8 -*- """ Created on Tue Jul 14 15:03:49 2015 @author: """ from pprint import pprint from datetime import datetime from analytics import Analytics from execution_engine import ExecutionEngine from analytics_utils import plot a = Analytics() e = ExecutionEngine() dimensions = {'X': {'range': (147.968, 148.032)}, 'Y': {'range': (-36.032, -35.968)}, 'T': {'range': (1262304000.0, 1325375999.999999)}, } ndvi = a.applySensorSpecificBandMath('LS5TM', 'ndvi', dimensions, 'step1_get_data', 'step2_ndvi') result = e.executePlan(a.plan) plot(e.cache['ndvi'])