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Last active Jan 16, 2019
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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.ylabel("f(x) = log(x)")
pl.title("A Basic Log Function")
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Thank you for offering this. To help beginners, you could add a call to at the end.

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

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Thanks for tutorial!

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mkcor commented Nov 10, 2016


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 :


PS: This took me here, and it was posted on November 7, 2016.

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Thank you for your simple and excellent example

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