python

Approximating data with a multi segment cubic bezier curve and a distance as well as a curvature contraint

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I have some geo data (the image below shows the path of a river as red dots) which I want to approximate using a multi segment cubic bezier curve. Through other questions on stackoverflow here and here I found the algorithm by Philip J. Schneider from “Graphics Gems”. I successfully implemented it and can report that even with thousands of points it is very fast. Unfortunately that speed comes with some disadvantages, namely that the fitting is done quite sloppily. Consider the following graphic:

scrape html generated by javascript with python

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I need to scrape a site with python. I obtain the source html code with the urlib module, but I need to scrape also some html code that is generated by a javascript function (which is included in the html source). What this functions does “in” the site is that when you press a button it outputs some html code. How can I “press” this button with python code? Can scrapy help me? I captured the POST request with firebug but when I try to pass it on the url I get a 403 error. Any suggestions?