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Matplotlib: python plotting — Matplotlib 1.2.0 documentation

Matplotlib: python plotting — Matplotlib 1.2.0 documentation
matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six graphical user interface toolkits. matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code. For a sampling, see the screenshots, thumbnail gallery, and examples directory For example, using "ipython --pylab" to provide an interactive environment, to generate 10,000 gaussian random numbers and plot a histogram with 100 bins, you simply need to type x = randn(10000) hist(x, 100)

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mechanize Stateful programmatic web browsing in Python, after Andy Lester’s Perl module WWW::Mechanize. The examples below are written for a website that does not exist (, so cannot be run. There are also some working examples that you can run. axes X : array_like, shape (n, m) or (n, m, 3) or (n, m, 4) Display the image in X to current axes. X may be a float array, a uint8 array or a PIL image. If X is an array, it can have the following shapes:MxN – luminance (grayscale, float array only)MxNx3 – RGB (float or uint8 array)MxNx4 – RGBA (float or uint8 array)The value for each component of MxNx3 and MxNx4 float arrays should be in the range 0.0 to 1.0; MxN float arrays may be normalised.

Book Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit Steven Bird, Ewan Klein, and Edward Loper Category:LanguageBindings -> PySide EnglishEspañolMagyarItalian한국어日本語 Welcome to the PySide documentation wiki page. The PySide project provides LGPL-licensed Python bindings for the Qt. It also includes complete toolchain for rapidly generating bindings for any Qt-based C++ class hierarchies. PySide Qt bindings allow both free open source and proprietary software development and ultimately aim to support Qt platforms.

Python 3D Software A small collection (94 packages) of pointers to Python software for working in three dimensions "Open Source" of some type Batch converter from CAD files to Acrobat 3D-PDF Site is in German. Don't know what type of CAD documents are being converted. Seems to work by automating the Acrobat tools. Deep Thoughts by Raymond Hettinger If you aren’t wowed by Python’s super() builtin, chances are you don’t really know what it is capable of doing or how to use it effectively. Much has been written about super() and much of that writing has been a failure. This article seeks to improve on the situation by: providing practical use casesgiving a clear mental model of how it worksshowing the tradecraft for getting it to work every timeconcrete advice for building classes that use super()favoring real examples over abstract ABCD diamond diagrams. The examples for this post are available in both Python 2 syntax and Python 3 syntax. Using Python 3 syntax, let’s start with a basic use case, a subclass for extending a method from one of the builtin classes:

Quickstart — Requests 2.8.1 documentation Eager to get started? This page gives a good introduction in how to get started with Requests. This assumes you already have Requests installed. If you do not, head over to the Installation section. First, make sure that: Requests is installedRequests is up-to-date Requests and Responses — Scrapy 0.14.4 documentation Using FormRequest to send data via HTTP POST¶ If you want to simulate a HTML Form POST in your spider and send a couple of key-value fields, you can return a FormRequest object (from your spider) like this: Overview example Datasets polygonal dataset structured dataset unstructured dataset vtk.Field A field is defined on a discrete nx x ny x nz grid. The Python Standard Library — Python 3.4.3 documentation While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. It also describes some of the optional components that are commonly included in Python distributions. Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents listed below. The library contains built-in modules (written in C) that provide access to system functionality such as file I/O that would otherwise be inaccessible to Python programmers, as well as modules written in Python that provide standardized solutions for many problems that occur in everyday programming.

The top integrated development environments for Python Python is everywhere. These days, it seems it powers everything from major websites to desktop utilities to enterprise software. Python has been used to write all, or parts of, popular software projects like dnf/yum, OpenStack, OpenShot, Blender, Calibre, and even the original BitTorrent client. It also happens to be one of my favorite programming languages. Personally, Python has been my go-to language through the years for everything from class projects in college to tiny scripts to help me automate recurring tasks. Weblogs Forum - Screen Scraping With Python Summary Web-enabling an old terminal-oriented application turns into more fun than expected. A blow-by-blow account of writing a screen scraper with Python and pexpect. I recently finished a project for a local freight broker. They run their business on an old SCO Unix-based "green screen" terminal application. They wanted to enable some functionality on their web site, so customers could track their shipments, and carriers could update their location and status.

Visvis_basics - visvis - A short introduction to visvis - The object oriented approach to visualization. Introduction Visvis is a pure Python library for visualization of 1D to 4D data in an object oriented way. Essentially, visvis is an object oriented layer of Python on top of OpenGl, thereby combining the power of OpenGl with the usability of Python. A Matlab-like interface in the form of a set of functions allows easy creation of objects (e.g. plot(), imshow(), volshow(), surf()). Visvis shares quite a bit of functionality with both Matplotlib and Mayavi.

10 Useful Python Data Visualization Libraries for Any Discipline Scroll through the Python Package Index and you’ll find libraries for practically every data visualization need—from GazeParser for eye movement research to pastalog for realtime visualizations of neural network training. And while many of these libraries are intensely focused on accomplishing a specific task, some can be used no matter what your field. Today, we’re giving an overview of 10 interdisciplinary Python data visualization libraries, from the well-known to the obscure. We’ve noted the ones you can take for a spin without the hassle of running Python locally, using Mode Python Notebooks. matplotlib Two histograms (matplotlib)

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