matplotlib-users Mailing List for matplotlib

>>>>> "K" == K KISHIMOTO <ko...@us...> writes:

    K> Hi, I'm using matplotlib for my scientific analysis, and
    K> charmed by It's function.

Thanks!

    K> Because I often use another tools for data histograming, I
    K> think it's convenient if matplotlib could plot already
    K> histogramed data more efficiently.

This seems like the kind of thing that would best be done in your user
library.  Eg, if you make a module mymatplotlib.py, you can defined
your own hist.  In that file, just import matplotlib.matlab and call
matplotlib.matlab.hist within it.  In fact, matplotlib.matlab.hist
calls matplotlib.mlab.hist.

On an unrelated topic: 

  def hist(x, bins=10, noplot=0, normed=0, weights=[], errors=[])

Just wanted to point out that this is a potential gotcha in python.
For example, what do you expect the output of this code to be?

def func1(x=[]):
    if not len(x): x.append(1)
    print x
    
def func2(y=[]):
    if len(y)<2: y.append(2)
    print y

z = []
func1(z)
func2(z)

The standard way to pass empty lists as default function args is to
do:

def func1(x=None):
    if x is None: x = []
    #blah blah    

Lists and dicts are different in this capacity than strings or ints
because the can be changed (mutable).

Thanks for your suggestions,
John Hunter

Hi,

I'm using matplotlib for my scientific analysis, and charmed by It's 
function.

Because I often use another tools for data histograming,
I think it's convenient if matplotlib could plot already histogramed 
data more efficiently.

For exmple, changing from
hist(x, bins=10, noplot=0, normed=0)
to
hist(x, bins=10, noplot=0, normed=0, weights=[], errors=[])

Calling
hist([0.5, 1.5, 1.7, 2.5], [0.0, 1.0, 3.0])
equals to
hist([0.5, 1.6, 2.5], [0.0, 1.0, 3.0], weights=[1.0, 2.0, 0.0])
or
hist([0.5, 1.6, 2.5], [0.0, 1.0, 3.0], weights=[1.0, 2.0, 0.0], 
errors=[1.0, 1.414, 0.0])

(1) When "weights" argument is provided, "x" is assumed as a list of 
weighted mean (or center) values of each bin and "weights" is assumed 
as a list of (already histogramed) weights of each bin.
(2) When "errors" argument is omitted, it's default values are set to 
the squares of weights.
(3) When "errors" argument is provided, it's values are used as a list 
of one-sigma errors of each bin.

Thank you for reading.
Koji