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February 1, 2011 18:19
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Strata big data bootcamp matplotlib work in debian
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Debian way to do the data bootcamp matplotlib work | |
Install packages | |
$ sudo apt-get install python-matplotlib python-scipy | |
NOTE 1: You MUST have X running and DISPLAY set for the plt.plot step. | |
NOTE 2: Slides have a typo. Use random_numbers for both lines | |
Render: | |
$ python | |
Python 2.6.6 (r266:84292, Dec 27 2010, 00:02:40) | |
[GCC 4.4.5] on linux2 | |
Type "help", "copyright", "credits" or "license" for more information. | |
>>> import matplotlib.pylab as plt | |
>>> from scipy.stats import norm | |
>>> random_numbers = norm.rvs(0,1,size=10000) | |
>>> n, bins, pataches = plt.hist(random_numbers,normed=True,bins=25, alpha=0.75)>>> y = norm.pdf(bins) | |
>>> plt.plot(bins,y,"r-") | |
[<matplotlib.lines.Line2D object at 0x9cde1ac>] | |
>>> plt.xlabel("Random numbers") | |
<matplotlib.text.Text object at 0x9cdebcc> | |
>>> plt.ylabel("Density") | |
<matplotlib.text.Text object at 0x9ce488c> | |
>>> plt.title("My first matplotlib visualization!") | |
<matplotlib.text.Text object at 0x9ceb5cc> | |
>>> plt.savefig("matplotlib_first.png") | |
>>> | |
and that dumps a matplotlib_first.png in your dir |
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