- Using matplotlib from within wxPython [1]
- Implementing sparklines in Python, also the sparkplot module. Sparklines are described in the book: Beautiful Evidence, ISBN: 0961392177, by Edward Tuftle, this is reviewed here. [1]
- Voidspace looks into charting (graphing) solutions for use in Python GUIs such as wx.lib.plot, Chaco, matplotlib and RRDTool. [1]
- biggles, this is a Python graph plotting library that can output to PostScript, PNG, SVG and GIF formats. Also available here. [1]
- Pychart, is another Python graph plotting library, it can output to EPS, PDF, PNG or SVG. [1]
- DISLIN, (home page is www.dislin.de) is a graph plotting library that can be used from Python [1] [2]
- PyX is another graph plotting package for Python [1] [2]
- Veusz, a scientific plotting package aimed at making PostScript output [1] [2]
- SciPy_core, is now in beta, this is destined to replace the old numeric Python package for doing numerical analysis with Python. SciPy can now be found at www.scipy.org. SciPy includes modules for graphics and plotting, optimization, integration, special functions, signal and image processing, genetic algorithms, ODE solvers and others. [1] [2]
- Difficulties encountered in the installation of matplotlib [1] [2]
- An example of using MatPlotLib to create PNG formatted graphs [1] [2]
- HippoDraw, is a plotting / data-visualization package written in Python but requiring the Qt library [1]
- A strip chart plotter [1]
- Turn an old HP pen plotter into a vinyl cutter [1]
- paida is a Python package for scientific data analysis and plotting. [1] [2]
- Plotkit, Javascript Chart Plotting using SVG [1]
- Cvsplot, a tool to extract coding statistics from a CVS repository [1]
- matplotlib is a very powerful system for producing publication quality 2D graphics (including contour plots). It also has a mode (called pyloab) that emulates matlab graphics. If you do a manual install of this you'll need to install numpy and then matplotlib. Their official How To is here. [1]
- Polynomial Explorer is a simple example of using matplotlib to plot functions and controlling this with a mouse. [1] [2]
- This article approximates the Zeta function (for large values) with 1/x, the author uses some simple matplotlib calls to analyze the problem graphically. [1] [2]
- Using alpha blend to show the focus on a particular graph curve in a plot with multiple curves. [1]
- Using matplotlib to generate and display mathematical equations as svg graphics from Python. Turns out that matplotlib contains a port to Python of the math layout algorithms from TeX. [1]
- Stacked graphs using matplot lib is used to create stacked or stream graphs (those graphs of how events change over time that look like a flowing stream from above - especially one that's carrying a coloured oily film with it). [1] [2]
- The CIA once booby trapped pipeline control software that the Russians were illegally purchasing, this lead to a large pipeline explosion in 1982. I wonder what the SAT procedures for this feature were. [1]
- More PyQt plotting demos using matplot lib and PyQwt from PyQt. [1]
- The PLplot scientific plotting package has Python bindings implemented with SWIG. [1]
- A comparison of matplotlib and PyQwt for plotting in Python. And some examples of using matplotlib with a wxPython based GUI. [1]
- SphinxReport is a report generator written in Python using Sphinx and matplotlib. The project home page is here. [1]
- How to use the Arduino as part of a data logger. [1]
- Using PyQt to plot data received through PySerial. [1]
- Examples of using Matplotlib from Python from the book Matplotlib for Python Developers. [1]
- The matplotlib Python graph plotting library has a financial chart plotting system, an example is here. [1] [2]
- The Liveplots package is used for plots that update in real time. [1]
- Pandas is a project to optimize NumPy for time series and cross-sectional data analysis, including storage, regression and plotting. [1] [2]
- Trending the popularity of various Linux Distros. [1]