Experiments in carbon cycle with Sage (Rev #6, changes)

Showing changes from revision #5 to #6:
Added | ~~Removed~~ | ~~Chan~~ged

Create some plots related to the Carbon cycle and do some simple analysis using Sage.

The classic Keeling curve, plotted upto jan~~ 2011:~~ 2011 in Sage with default aspect ratio:

~~ Here~~ I~~ is~~ think~~ a~~ it~~ plot~~ can~~ of~~ be~~ the~~ better~~ whole~~ with~~ series~~ setting~~ but~~ it~~ showing~~ default~~ season~~ aspect~~ corrected~~ ratio~~ values~~ to~~ :~~ one, so we’ll try that as well.

Here is a plot of the whole series but showing season corrected values : (also default aspect ratio)

Trying to see if~~ TimeSeries,can~~ TimeSeries, can be used better instead of this

` # based on http://wiki.sagemath.org/interact/web made by Marshall Hampton CC 3.0 import urllib2 as U import time current_year = time.localtime().tm_year co2data = U.urlopen('ftp://ftp.cmdl.noaa.gov/ccg/co2/trends/co2_mm_mlo.txt').readlines() datalines = [] for a_line in co2data: if a_line.find('Creation:') != -1: cdate = a_line if a_line[0] != '#': temp = a_line.replace('\n','').split(' ') temp = [float(q) for q in temp if q != ''] datalines.append(temp) @interact def azimviewer(month = [1,2,6,12,24],trend= True): if trend: sel_data = [[q[2],q[5]] for q in datalines] else: sel_data = [[q[2],q[4]] for q in datalines] lp = list_plot(sel_data, plotjoined=True, rgbcolor=(1,0,0)) lp.show(axes = True, figsize = [7,5])`~~ #,~~~~ aspect_ratio=1)~~