Let us express in histograms the cumulative data obtained in Part (2). The revised code2.2.py reads 30 experimental data x_i (i=1..N) from the csv file (contents), defines the array bins_i, and invokes hist, giving the output in the right.

Dr. Berendsen originally wrote the following code.

1. from plotsvg import *
2. hisx = [6.5, 7.5, 8.5, 9.5, 10.5, 11.5]
3. hisy = [1, 7, 8, 10, 2, 2]
4. f = Figure()
5. f.frame([6,12],title='Histogram')
6. f.plotp([hisx,hisy],symbol='halfbar,symbolfill=Darkgrey, symbolstroke=Black)
7. f.show()