Plot coordinate pairs: Difference between revisions
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>>> pylab.savefig('qsort-range-10-9.png') |
>>> pylab.savefig('qsort-range-10-9.png') |
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[http://img30.picoodle.com/img/img30/5/12/23/f_qsortrange1m_0095c68.png qsort-range-10-9.png] (23 KiB) |
[http://img30.picoodle.com/img/img30/5/12/23/f_qsortrange1m_0095c68.png qsort-range-10-9.png] (23 KiB) |
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=={{header|Maxima}}== |
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(%i1) x:[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]$ |
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(%i2) y:[2.7, 2.8, 31.4, 38.1, 58.0, 76.2, 100.5, 130.0, 149.3, 180.0]$ |
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(%i3) plot2d(['discrete, x, y], [style, [points,5,1,1]], [gnuplot_term, ps], [gnuplot_out_file, "qsort-range-10-9.eps"])$ |
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[http://www.picoodle.com/view.php?img=/4/2/6/f_xym_7886cad.png&srv=img32 qsort-range-10-9.png] |
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Revision as of 16:56, 6 February 2008
You are encouraged to solve this task according to the task description, using any language you may know.
Plot a function represented as `x', `y' numerical arrays.
Post link to your resulting image for input arrays (see Example section for Python language on Query Performance page):
x = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
y = {2.7, 2.8, 31.4, 38.1, 58.0, 76.2, 100.5, 130.0, 149.3, 180.0};
This task is intended as a subtask for Measure relative performance of sorting algorithms implementations.
Python
Interpreter: Python
>>> x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> y = [2.7, 2.8, 31.4, 38.1, 58.0, 76.2, 100.5, 130.0, 149.3, 180.0]
>>> import pylab
>>> pylab.plot(x, y, 'bo')
>>> pylab.savefig('qsort-range-10-9.png')
qsort-range-10-9.png (23 KiB)
Maxima
(%i1) x:[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]$ (%i2) y:[2.7, 2.8, 31.4, 38.1, 58.0, 76.2, 100.5, 130.0, 149.3, 180.0]$ (%i3) plot2d(['discrete, x, y], [style, [points,5,1,1]], [gnuplot_term, ps], [gnuplot_out_file, "qsort-range-10-9.eps"])$
