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| Deletions are marked like this. | Additions are marked like this. |
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| Warning: Web apps can break frequently due to websites or services changing locations or formats! | |
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| import urllib2, csv | import urllib.request, csv, io |
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| L = list(zip(range(1,13),longmonths)) | |
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| def iceplotter(month = selector(zip(range(1,13),longmonths),default = (4, 'April'),label="Month")): month_str = months[month-1] + '/N_%02d_area.txt'%(month) |
def iceplotter(month = selector(L, default = 4, label="Month")): month_str = '/north/monthly/data/N_%02d_extent_v3.0.csv'%(month) |
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| icedata_f = urllib2.urlopen('ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/%s'%month_str) cr = csv.reader(icedata_f,delimiter=' ', dialect=dialect) icedata = list(cr) |
icedata_f = urllib.request.urlopen('ftp://sidads.colorado.edu/DATASETS/NOAA/G02135%s'%month_str) cr = csv.reader(io.StringIO(icedata_f.read().decode()), delimiter=',', dialect=dialect) icedata = [row for row in cr] |
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| html('<h3>Extent of Arctic sea ice coverage in %s, %d - %d</h3>'%(longmonths[month-1],min(years),max(years))) html('Data from the <a href="http://nsidc.org/">National Snow and Ice Data Center</a>') |
pretty_print(html('<h3>Extent of Arctic sea ice coverage in %s, %d - %d</h3>'%(longmonths[month-1],min(years),max(years)))) pretty_print(html('Data from the <a href="http://nsidc.org/">National Snow and Ice Data Center</a>')) |
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Contents
Warning: Web apps can break frequently due to websites or services changing locations or formats!
CO2 data plot, fetched from NOAA
by Marshall Hampton
One can do many things with scipy.stats. This only scratches the surface.
Arctic sea ice extent data plot, fetched from NSIDC
by Marshall Hampton
Pie Chart from the Google Chart API
by Harald Schilly
Stock Market data, fetched from Yahoo and Google FIXME
by William Stein
(Need to fix plotting warnings as well as some stocks give index errors (like bcc), and Python 3 changes, etc.)
