Documentation? about ta-lib-python HOT 7 CLOSED

In general, we try and make sure that each function has documentation about its
parameters (generated from the documentation that the underlying ta-lib C
library provides).

For example:

>>> import talib
>>> help(talib.RSI)
Help on built-in function RSI in module talib.func:

RSI(...)
    RSI(real[, timeperiod=?])

    Relative Strength Index (Momentum Indicators)

    Inputs:
        real: (any ndarray)
    Parameters:
        timeperiod: 14
    Outputs:
        real

What kinds of documentation are you looking for?

from ta-lib-python.

Ah yes, of course. I've been developing with Python for about half a year now, and I keep forgetting this help function. Thanks for reminding. That was all I needed.. :) . Thanks for creating all this. You saved me a couple days of work and made my week even better than it already was!

from ta-lib-python.

No problem! I love to hear feedback, and if there's anything that would make
it easier for you to use, let us know!

Also, if you use iPython, it provides the "?" operator:

$ ipython
Python 2.7.3 (default, Dec 22 2012, 21:14:12) 
Type "copyright", "credits" or "license" for more information.

IPython 0.13.1 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: import talib

In [2]: ?talib.RSI
Type:       builtin_function_or_method
String Form:<built-in function RSI>
Docstring:
RSI(real[, timeperiod=?])

Relative Strength Index (Momentum Indicators)

Inputs:
    real: (any ndarray)
Parameters:
    timeperiod: 14
Outputs:
    real

And, the help just grabs the function docstring (__doc__):

>>> print talib.RSI.__doc__
 RSI(real[, timeperiod=?])

    Relative Strength Index (Momentum Indicators)

    Inputs:
        real: (any ndarray)
    Parameters:
        timeperiod: 14
    Outputs:
        real

from ta-lib-python.

Just to answer your question. If the installation of the combination of TA-lib and it's python wrapper would have been a bit easier that would be great. Preferably of course in one command and without downloading anything, but otherwise by downloading just one package and installing that.

Also, even though it is present in the docstrings, it is always interesting if all the docstrings would just be listed together with the respective functions on the website. In that way you can also check out all its functions a bit easier without needing to install everything.

I think this library is a blessing to the financial world. I presume it doesn't work under pypy (since it's in C), but if that could work it would be even better (I use pypy a lot to speed up many analyses).

For the rest. Thanks a lot again!

from ta-lib-python.

Thanks for the feedback! At least on Ubuntu, the installation problem stems from nobody having packaged TA-Lib and the python wrapper into a PPA yet. I know a bit about it so I may eventually look into that if I ever find some time. Pretty low priority though; these libraries are typically developer oriented where a little extra installation effort isn't too unexpected.

from ta-lib-python.

Hi @briancappello

Using epydoc I just created a pdf listing all the functions and its inputs and outputs. I mainly did it for my own use so that I don't always have to fire up a terminal to look over the documentation in the docstrings, and also to just "scroll around"..
I suppose it could be usefull to post this on the website somewhere under documentation or something. Using epydoc you can also easily make HTML for this, which might also be easy to post it on the website.

Anyway, here is the pdf: http://hkramer.nl/opslag/ta-lib_functions.pdf

Cheers!

from ta-lib-python.

Nice, I like it!
A little bit of work got started in this regard; check out the documentation index - perhaps not as polished as your PDF but it's something basic. The code to generate the current website is actually in the repository right now if you're curious to improve it!

from ta-lib-python.