// In exercise 2, the first task you have is entering the data in SI units. To handle the masses is pretty easily achieved via something like m1= 100 m2= 1000 um1= 1 um2= 10 but entering the data in SI involves a bit more effort. Which of the following could be used to achieve this?

Question

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In exercise 2, the first task you have is entering the data in SI units. To handle the masses is pretty easily achieved via something like  
 
m1= 100 
m2= 1000 
um1= 1 
um2= 10 
 
 but entering the data in SI involves a bit more effort. Which of the following could be used to achieve this?

Answer

// dataSet = np.array([ #separation[cm], U(separation)[cm], Force [mN], U(Force)[mN] [ 1 , 0.05 , 66.7 , 0.7 ], [ 5 , 0.05 , 2.62 , 0.03 ], [ 10 , 0.05 , 0.660 , 0.007 ], [ 20 , 0.05 , 0.181 , 0.002 ], [ 35 , 0.05 , 0.0552 , 0.0006 ], [ 50 , 0.05 , 0.0240 , 0.0002 ] ]) # converting to SI dataSet[:, 0 ]=dataSet[:, 0 ]/ 100 dataSet[:, 2 ]=dataSet[:, 2 ]/ 1000

Answer

// dataSet = np.array([ #separation[cm], U(separation)[cm], Force [mN], U(Force)[mN] [ 1 , 0.05 , 66.7 , 0.7 ], [ 5 , 0.05 , 2.62 , 0.03 ], [ 10 , 0.05 , 0.660 , 0.007 ], [ 20 , 0.05 , 0.181 , 0.002 ], [ 35 , 0.05 , 0.0552 , 0.0006 ], [ 50 , 0.05 , 0.0240 , 0.0002 ] ]) # converting to SI dataSet[:, 0 ]=dataSet[ 0 ,:]/ 100 dataSet[:, 1 ]=dataSet[ 1 ,:]/ 100 dataSet[:, 2 ]=dataSet[ 2 ,:]/ 1000 dataSet[:, 3 ]=dataSet[ 3 ,:]/ 1000

Answer

// dataSet = np.array([ #separation[cm], U(separation)[cm], Force [mN], U(Force)[mN] [ 1 , 0.05 , 66.7 , 0.7 ], [ 5 , 0.05 , 2.62 , 0.03 ], [ 10 , 0.05 , 0.660 , 0.007 ], [ 20 , 0.05 , 0.181 , 0.002 ], [ 35 , 0.05 , 0.0552 , 0.0006 ], [ 50 , 0.05 , 0.0240 , 0.0002 ] ]) # converting to SI dataSet[:, 0 ]=dataSet[:, 0 ]/ 1000 dataSet[:, 1 ]=dataSet[:, 1 ]/ 1000 dataSet[:, 2 ]=dataSet[:, 2 ]/ 100 dataSet[:, 3 ]=dataSet[:, 3 ]/ 100

Answer

// dataSet = np.array([ #separation[cm], U(separation)[cm], Force [mN], U(Force)[mN] [ 1 , 0.05 , 66.7 , 0.7 ], [ 5 , 0.05 , 2.62 , 0.03 ], [ 10 , 0.05 , 0.660 , 0.007 ], [ 20 , 0.05 , 0.181 , 0.002 ], [ 35 , 0.05 , 0.0552 , 0.0006 ], [ 50 , 0.05 , 0.0240 , 0.0002 ] ]) # converting to SI dataSet[:, 0 ]=dataSet[ 0 ,:]/ 100 dataSet[:, 2 ]=dataSet[ 2 ,:]/ 1000

Answer

// dataSet = np.array([ #separation[cm], U(separation)[cm], Force [mN], U(Force)[mN] [ 1 , 0.05 , 66.7 , 0.7 ], [ 5 , 0.05 , 2.62 , 0.03 ], [ 10 , 0.05 , 0.660 , 0.007 ], [ 20 , 0.05 , 0.181 , 0.002 ], [ 35 , 0.05 , 0.0552 , 0.0006 ], [ 50 , 0.05 , 0.0240 , 0.0002 ] ]) # converting to SI dataSet[:, 0 ]=dataSet[:, 0 ]/ 100 dataSet[:, 1 ]=dataSet[:, 1 ]/ 100 dataSet[:, 2 ]=dataSet[:, 2 ]/ 1000 dataSet[:, 3 ]=dataSet[:, 3 ]/ 1000

Crowdly

// <![CDATA[ hljs.initHighlightingOnLoad(); // ]]> In exercise 2, the fi...

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