File:SolarCellProduction.svg
Summary
| Description | |
| Date | |
| Source | Own work |
| Author | Nicoguaro |
| Other versions | File:SolarCellProduction-E.PNG |
| SVG development | |
| Source code | Python codefrom numpy import array, shape
from matplotlib import pyplot as plt
annual_prod = array([
[ 0.375 , 0. , 0. , 0. , 0. , 0. ],
[ 0.5625, 0. , 0. , 0.25 , 0.125 , 0. ],
[ 0.6875, 0. , 0.125 , 0.3125, 0.125 , 0.0625],
[ 1.125 , 0. , 0.25 , 0.5625, 0.125 , 0.0625],
[ 1.75 , 0.125 , 0.4375, 0.8125, 0.125 , 0.0625],
[ 2.4375, 0.375 , 0.625 , 0.9375, 0.125 , 0.1875],
[ 3.75 , 1.25 , 0.9375, 0.875 , 0.25 , 0.1875],
[ 7.125 , 2.8125, 2. , 1.25 , 0.375 , 0.625 ],
[ 11.25 , 5.625 , 2.0625, 1.5 , 0.5625, 1.5 ],
[ 23.75 , 14.125 , 3.0625, 2.125 , 1.125 , 3.25 ]])
year = range(2001,2011)
color = ['r', 'c', 'y', 'g', 'b', 'm']
marker = ['s', '^', 'o', 'd', 'D', 'v']
for k in range(shape(annual_prod)[1]):
plt.plot(year, annual_prod[:,k], marker=marker[k], c=color[k],
ms=9, lw=2, mec='none')
plt.xlabel("Year")
plt.xticks([2002, 2004, 2006, 2008, 2010],
[2002, 2004, 2006, 2008, 2010])
plt.ylabel("Annual Production [GWp/Yr]")
plt.grid('on')
plt.legend(["Total", "China, Taiwan", "Europe", "Japan", "North America",
"Rest of World"], loc='best')
plt.savefig('SollarCellProduction.svg', bbox='tight')
|
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
