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@glamp
Last active Jan 16, 2019
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What would you like to do?
import numpy as np
import pylab as pl
x = np.random.uniform(1, 100, 1000)
y = np.log(x) + np.random.normal(0, .3, 1000)
pl.scatter(x, y, s=1, label="log(x) with noise")
pl.plot(np.arange(1, 100), np.log(np.arange(1, 100)), c="b", label="log(x) true function")
pl.xlabel("x")
pl.ylabel("f(x) = log(x)")
pl.legend(loc="best")
pl.title("A Basic Log Function")
pl.show()
@billsmithaustin
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billsmithaustin commented Jun 19, 2013

Thank you for offering this. To help beginners, you could add a call to pl.show() at the end.

@gogosanka
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gogosanka commented Oct 24, 2014

Thank you for this tutorial! I agree, for beginners, a pl.show() at the end would have saved me some time and confusion wondering how to actually show the graph we built with your code.

@Chuck-UGA
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Chuck-UGA commented Feb 5, 2015

Thanks for tutorial!

@mkcor
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mkcor commented Nov 10, 2016

Hi!

Thanks for all the nice blog posts.

I'm surprised you still import pylab. This practice is no longer recommended, as you can read here :
http://matplotlib.org/faq/usage_faq.html#matplotlib-pyplot-and-pylab-how-are-they-related

Best,
Marianne

PS: This http://blog.yhat.com/posts/python-random-forest.html took me here, and it was posted on November 7, 2016.

@maomaochonghuang
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maomaochonghuang commented Jan 15, 2017

Thank you for your simple and excellent example

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