"""
The pyplot interface is generally preferred for non-interactive
plotting (i.e., scripting). The pylab interface is convenient for
interactive calculations and plotting, as it minimizes typing. Note
that this is what you get if you use the ipython shell with the -pylab
option, which imports everything from pylab and makes plotting fully
interactive.
"""
Gotta remember to update this paragraph... the -pylab option has been long
deprecated, and is supposedly about to be removed in an upcoming release of
ipython.
Ben Root
On Thu, May 1, 2014 at 10:38 AM, Yuxiang Wang <yw...@virginia.edu> wrote:
> Hi Neal,
>
> I always followed what has been written here:
>
>
> http://matplotlib.org/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related
>
> And they said,
>
> ------------------
> Matplotlib, pylab, and pyplot: how are they related?
>
> Matplotlib is the whole package; pylab is a module in matplotlib that
> gets installed alongside matplotlib; andmatplotlib.pyplot is a module
> in matplotlib.
>
> Pyplot provides the state-machine interface to the underlying plotting
> library in matplotlib. This means that figures and axes are implicitly
> and automatically created to achieve the desired plot. For example,
> calling plot from pyplot will automatically create the necessary
> figure and axes to achieve the desired plot. Setting a title will then
> automatically set that title to the current axes object:
>
> import matplotlib.pyplot as plt
>
> plt.plot(range(10), range(10))
> plt.title("Simple Plot")
> plt.show()
>
> Pylab combines the pyplot functionality (for plotting) with the numpy
> functionality (for mathematics and for working with arrays) in a
> single namespace, making that namespace (or environment) even more
> MATLAB-like. For example, one can call the sin and cos functions just
> like you could in MATLAB, as well as having all the features of
> pyplot.
>
> The pyplot interface is generally preferred for non-interactive
> plotting (i.e., scripting). The pylab interface is convenient for
> interactive calculations and plotting, as it minimizes typing. Note
> that this is what you get if you use the ipython shell with the -pylab
> option, which imports everything from pylab and makes plotting fully
> interactive.
> ------------------
>
>
> -Shawn
>
> On Thu, May 1, 2014 at 2:16 AM, Michiel de Hoon <mjldeh...@yahoo.com>
> wrote:
> > 99.9% of the time I am using pyplot, as it usually does what I want
> without me having to understand an api.
> > I don't care so much if pyplot agrees with matlab or not, but it should
> be something easy that new users can pick up quickly.
> >
> > Best,
> > -Michiel
> >
> > --------------------------------------------
> > On Wed, 4/30/14, Neal Becker <ndbeck...@gmail.com> wrote:
> >
> > Subject: [Matplotlib-users] Which api to learn?
> > To: matplotlib-users@lists.sourceforge.net
> > Date: Wednesday, April 30, 2014, 7:49 AM
> >
> > I've never used matlab (and hope
> > never to have to). But I've been using pyplot
> > api for mpl for quite a while.
> >
> > Is there any good reason to move to the "native" mpl api and
> > drop pyplot? I ask
> > because as I understand, pyplot is intended as a matlab
> > workalike, and since I
> > never learned matlab I have no need for that crutch.
> > OTOH, I'm quite used to
> > the pyplot api at this point.
> >
> >
> >
>
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>
>
> --
> Yuxiang "Shawn" Wang
> Gerling Research Lab
> University of Virginia
> yw...@virginia.edu
> +1 (434) 284-0836
> https://sites.google.com/a/virginia.edu/yw5aj/
>
>
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