Re: [Matplotlib-users] numpy.power vs pylab.power

[Paul H. <pmh...@gm...>]

Hey Will,

As a user, all I can tell you is that pylab is there for convenience when:
1) quickly and interactively exploring some new data
or
2) making the switch over from matlab or some other numerical analysis
framework.

In general, if you're doing some serious work -- especially work that
you might revisit at any point -- explicitly import the packages you
need into proper namespaces. As an example for me, this typically
amounts to:

import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
import pandas #as pd



On Thu, Nov 15, 2012 at 8:22 AM, Will Furnass <wi...@th...> wrote:
> On my machine these are rather confusingly different functions, with the
> latter corresponding to numpy.random.power.  I appreciate that pylab
> imports everything from both the numpy and numpy.random modules but
> wouldn't it make sense if pylab.power were the oft-used power
> function rather than a means for sampling from the power distribution?
>
> Regards,
>
> Will Furnass
>
>
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