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

Showing changes from revision #5 to #6: Added | Removed | Changed

# Contents

## Idea

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

## Details

### Diagrams

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)

### Draft Code

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)