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@glamp /log_func.py
Last active Jan 15, 2017

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()

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

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.

Thanks for tutorial!

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.

Thank you for your simple and excellent example

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