Created
December 21, 2012 00:53
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Waste of TIme
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from numpy import array | |
import numpy as n | |
import pylab | |
def best_fit_line(x,y, color): | |
coefs = n.lib.polyfit(x,y,1) | |
fit_y = n.lib.polyval(coefs, x) | |
pylab.plot(x, fit_y, color) | |
Task4 = {} | |
Task4["current"] = array([0.0000002,0.0000007,0.0000015,0.0000026,0.0000047,0.0000086,0.0000169,0.0000309,0.0000516,0.000092]) | |
Task4["voltage"] = array([0.201,0.267,0.301,0.330,0.359,0.389,0.422,0.451,0.480,0.503]) | |
Task4["AlphaVoltage"] = array([0.001]*10) | |
Task4["AlphaCurrent"] = array([1*10^-7]*10) | |
Task4["logCurrent"] = n.log(Task4["current"]) | |
Task4["AlphaLogCurrent"] = Task4["AlphaCurrent"]/Task4["current"] | |
Task1 = {} | |
Task1["temperature"] = 21.7+273.15 | |
Task1["current"] = array([x*10**(-6) for x in [1.2,0.9,0.6,0.4,0.2,248,100,42,18,6]]) | |
Task1["AlphaCurrent"] = array([x*10**(-6) for x in [0.1,0.1,0.1,0.1,0.1,1,1,1,1,0.1]]) | |
Task1["voltage"] = array([0.025,0.021,0.014,0.01,0.005,0.211,0.18,0.15,0.12,0.075]) | |
Task1["AlphaVoltage"] = array([0.001 for x in range(10)]) | |
Task1["logCurrent"] = n.log(Task1["current"]) | |
Task1["AlphaLogCurrent"] = Task1["AlphaCurrent"]/Task1["current"] | |
pylab.errorbar(Task1["voltage"],Task1["logCurrent"], fmt = "bo") | |
best_fit_line(Task1["voltage"],Task1["logCurrent"], "b--") | |
pylab.errorbar(Task4["voltage"],Task4["logCurrent"], fmt = "ro") | |
best_fit_line(Task4["voltage"],Task4["logCurrent"], "r--") | |
pylab.ylabel("ln(Current)") | |
pylab.xlabel("Voltage (V)") | |
#Calculate Function | |
pylab.text(0.4,-12,"hello World") | |
pylab.show() | |
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