[Numpy-discussion] Producing a Histogram When Bins Are Known
Fri Nov 27 11:41:50 CST 2009
Wayne Watson wrote:
> Yes, I'm just beginning to deal with the contents of NumPy, SciLab, and
> SciPy. They all have seemed part of one another, but I think I see how
> they've divided up the game.
For the record:
I know this is a bit confusing, particularly for someone used to an
integrated package like Matlab, etc, but there is a lot of power an
flexibility gained by the divisions:
Python: is a general-purpose, extensible programming language
Numpy: is a set of package of classes, functions, etc that provide
facilities for numeric computation -- primarily a n-d array class and
the utilities to use it.
Matplotlib (MPL): is a plotting package, built on top of numpy -- it was
originally designed to somewhat mimic the plotting interface of Matlab.
MPL is the most commonly used plotting package for numpy, but by no
means the only one.
Pylab: Is a package that integrates matplotlib and numpy and an
assortment of other utilities into one namespace, making it more like
Matlab -- personally, I think you should avoid using it, it makes it a
bit easier to type code, but harder to know where the heck what you are
doing is coming from.
SciPy: Is a broad collection of assorted utilities that facilitate
scientific computing, built on Numpy -- it is also sometimes used as an
umbrella term for anything connected to scientific computing with Python
(i.e. the SciPy conferences)
These distinctions are a bit confusing (particularly MPL-numpy), because
MPL includes a number of utility functions that combine computation and
plotting: like "hist", which both computes a histogram, and plots it as
bar chart in one call -- it's a convenient way to perform a common
operation, but it does blur the lines a bit!
By the way -- there is also potentially a bit of confusion as to how MPL
uses/interacts with the command line and GUI toolkits. This is because
MPL can be used with a number of different GUI front-ends (or none), and
they tend to take over control from the command line. Which brings up to:
iPython: an enhanced python interactive interpreter command line system.
It adds many nice features that make using python in interactive mode
nicer. IN particularly, it adds a "--pylab" mode that helps it play well
with MPL. You won't regret using it!
> I thought I'd look through Amazon
> for books on Python and scientific uses. I found almost all were written
> by authors outside the US, and none seemed to talk about items like
FWIW, a book about MPL has just been published -- I don't know any more
about it, but I'm sure google will tell you.
> Is there a matplotlib or Pylab mailing list?
There certainly is:
And yes, that is the place for such questions.
Christopher Barker, Ph.D.
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