Scipy Cookbook
Introduction
1.
SciPy Cookbook
2.
Compiling Extensions
2.1.
Compiling Extension Modules on Windows using mingw
3.
Graphics
3.1.
Line Integral Convolution
3.2.
Mayavi
3.3.
Vtk volume rendering
3.4.
Input Output
3.5.
Data Acquisition with NIDAQmx
3.6.
Data acquisition with PyUL
3.7.
Fortran I/O Formats
4.
Input and output
4.1.
LAS reader
4.2.
Reading SPE file from CCD camera
4.3.
Reading mat files
4.4.
hdf5 in Matlab
5.
Matplotlib / 3D Plotting
5.1.
Matplotlib VTK integration
5.2.
Matplotlib: mplot3d
6.
Matplotlib / Embedding Plots in Apps
6.1.
Embedding In Wx
6.2.
Matplotlib: pyside
6.3.
Matplotlib: scrolling plot
7.
Matplotlib / Misc
7.1.
Load image
7.2.
Matplotlib: adjusting image size
7.3.
Matplotlib: compiling matplotlib on solaris10
7.4.
Matplotlib: deleting an existing data series
7.5.
Matplotlib: django
7.6.
Matplotlib: interactive plotting
7.7.
Matplotlib: matplotlib and zope
7.8.
Matplotlib: multiple subplots with one axis label
7.9.
Matplotlib: qt with ipython and designer
7.10.
Matplotlib: using matplotlib in a CGI script
8.
Matplotlib / Pseudo Color Plots
8.1.
Matplotlib: colormap transformations
8.2.
Matplotlib: converting a matrix to a raster image
8.3.
Matplotlib: gridding irregularly spaced data
8.4.
Matplotlib: loading a colormap dynamically
8.5.
Matplotlib: plotting images with special values
8.6.
Matplotlib: show colormaps
9.
Matplotlib / Simple Plotting
9.1.
Matplotlib: animations
9.2.
Matplotlib: arrows
9.3.
Matplotlib: bar charts
9.4.
Matplotlib: custom log labels
9.5.
Matplotlib: hint on diagrams
9.6.
Matplotlib: legend
9.7.
Matplotlib: maps
9.8.
Matplotlib: multicolored line
9.9.
Matplotlib: multiline plots
9.10.
Matplotlib: plotting values with masked arrays
9.11.
Matplotlib: shaded regions
9.12.
Matplotlib: sigmoidal functions
9.13.
Matplotlib: thick axes
9.14.
Matplotlib: transformations
9.15.
Matplotlib: unfilled histograms
10.
Matplotlib / Typesetting
10.1.
Matplotlib: latex examples
10.2.
Matplotlib: using tex
10.3.
Mayavi
10.4.
Mayavi surf
10.5.
Mayavi tips
10.6.
Mayavi: running mayavi 2
10.7.
Scripting Mayavi 2
11.
Mayavi / TVTK
11.1.
Mayabi: mlab
11.2.
Mayavi tvtk
12.
Numpy & Scipy / Advanced topics
12.1.
Views versus copies in NumPy
13.
Numpy & Scipy / Interpolation
13.1.
Interpolation
13.2.
Using radial basis functions for smoothing/interpolation
14.
Numpy & Scipy / Linear Algebra
14.1.
Rank and nullspace of a matrix
15.
Numpy & Scipy / Matplotlib
15.1.
Histograms
16.
Numpy & Scipy / Optimization and fitting techniques
16.1.
Fitting data
16.2.
Large-scale bundle adjustment in scipy
16.3.
Least squares circle
16.4.
Linear regression
16.5.
OLS
16.6.
Optimization and fit demo
16.7.
Optimization demo
16.8.
RANSAC
16.9.
Robust nonlinear regression in scipy
16.10.
Solving a discrete boundary-value problem in scipy
17.
Numpy & Scipy / Ordinary differential equations
17.1.
Coupled spring-mass system
17.2.
Korteweg de Vries equation
17.3.
Matplotlib: lotka volterra tutorial
17.4.
Modeling a Zombie Apocalypse
17.5.
Theoretical ecology: Hastings and Powell
18.
Numpy & Scipy / Other examples
18.1.
Applying a FIR filter
18.2.
Brownian Motion
18.3.
Butterworth Bandpass
18.4.
Communication theory
18.5.
Correlated Random Samples
18.6.
Easy multithreading
18.7.
Eye Diagram
18.8.
FIR filter
18.9.
Filtfilt
18.10.
Finding the Convex Hull of a 2-D Dataset
18.11.
Finding the minimum point in the convex hull of a finite set of points
18.12.
Frequency swept signals
18.13.
KDTree example
18.14.
Kalman filtering
18.15.
Linear classification
18.16.
Particle filter
18.17.
Rebinning
18.18.
Savitzky Golay Filtering
18.19.
Smoothing of a 1D signal
18.20.
Solving large Markov Chains
18.21.
Watershed
19.
Numpy & Scipy / Root finding
19.1.
Function intersections
19.2.
Spherical Bessel Zeros
19.3.
Numpy & Scipy / Tips and tricks
19.4.
Addressing Array Columns by Name
19.5.
Building arrays
19.6.
Convolution-like operations
19.7.
Indexing numpy arrays
19.8.
MetaArray
19.9.
Multidot
19.10.
Object arrays using record arrays
19.11.
Stride tricks for the Game of Life
19.12.
accumarray like function
20.
Other examples
20.1.
C Extensions for Using NumPy Arrays
20.2.
Embedding in Traits GUI
20.3.
Matplotlib: drag’n’drop text example
20.4.
Matplotlib: treemap
20.5.
Mayavi: Install python stuff from source
20.6.
Mayavi: examples
20.7.
Reading custom text files with Pyparsing
20.8.
Scripting Mayavi 2: basic modules
20.9.
Scripting Mayavi 2: filters
20.10.
Scripting Mayavi 2: main modules
21.
Performance
21.1.
A beginners guide to using Python for performance computing
21.2.
Parallel Programming with numpy and scipy
22.
Scientific GUIs
22.1.
wxPython dialogs
23.
Scientific Scripts
23.1.
FDTD Algorithm Applied to the Schrödinger Equation
23.2.
Using NumPy With Other Languages (Advanced)
23.3.
C extensions
23.4.
Ctypes
23.5.
F2py
23.6.
Inline Weave With Basic Array Conversion (no Blitz)
23.7.
Pyrex And NumPy
23.8.
SWIG Numpy examples
23.9.
SWIG and Numpy
23.10.
SWIG memory deallocation
23.11.
f2py and numpy
24.
Outdated
24.1.
A numerical agnostic pyrex class
24.2.
Array, struct, and Pyrex
24.3.
Data Frames
24.4.
Python Imaging Library
24.5.
Recipes for timeseries
24.6.
The FortranFile class
24.7.
dbase
24.8.
xplt
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Scipy Cookbook
Numpy & Scipy / Advanced topics
Views versus copies in NumPy