All Submissions In Order Of Most Views

Basic linear regression
Expected result: See the official Scipy documentation for details about
linregress
. A more complete regression model can be obtained with the OLS function in the statsmodels library. 
Building a simple interactive 2ddata viewer with Matplotlib
This is a very simple, but practical 2ddata viewer, which uses only matplotlib widgets. Click: on the image or the plots to get a cross section  x or y depending ...
 0
 revision 5
 by lissacoffey
 on 08 April 2015

Find the points at which two given functions intersect
The code considers the case of finding the intersection of a polynomial, \(y=x^2\) and a line, \(y=x+1\). Write these functions in the form \(\mathbf{f(x ...
 0
 revision 3
 by lissacoffey
 on 08 April 2015

Fitting a Gaussian to noisy datapoints
This script reproduces the plots from
Guo, A Simple Algorithm for Fitting a Gaussian Function, IEEE Signal Processing Magazine, September 2011, pp. 134–137. 
Using Prony's method to fit a sum of exponentials
This a basic implementation of Prony’s method. In this form, it is very susceptible to noise. Added by Jose: I had some problems using “lstsq” from scipy.linalg that ...

Principal components analysis (PCA) using a sequential method
The singular value decomposition is usually presented as the way to calculate the PCA decomposition of a data matrix. The NIPALS algorithm is a very computationally tractable way of calculating ...

Simple interactive Matplotlib plots
Interactive graphs with Matplotlib have haunted me. So here I have collected a number of tricks that should make interactive use of plots simpler. The functions below show how to ...
 0
 by thomas.haslwanter
 on 30 March 2015

pymls  solving bounded linear least squares problems
Based on mls_alloc from the matlab toolbox Qcat by Ola Harkegard, this package allows to solve bounded least squares problems. It is also possible to put weights on your columns ...

Plot an ellipse
The code will plot any ellipse where you specify the major and minor axis distances, optional translation by \(x, y\) units, and an optional rotation. This revision deploys numpy broadcasting ...

100 Numpy exercices
A collection of 100 numpy exercices gathered from the numpy mailing list, stack overflow and other places.
 0
 revision 2
 by Nicolas Rougier
 on 28 September 2015

finds the solitary and clustered pixels in a 2D array of pixels
Upgraded on Wed Sep 14 10:55:30 2016  Version 2  Improved algorithm: the first version can fail for some specific shapes of clusters (wormlike shapes). For example with Pos ...
 0
 revision 2
 by PLautridou
 on 22 September 2016

SciPy Lectures Notes
These are a consistent set of materials to learn the core aspects of the scientific Python ecosystem, from beginner to expert. They are written and maintained by a set of ...
 0
 by Nicolas Rougier
 on 28 September 2015

Integrating an initial value problem (single ODE)
We want to integrate a single equation \(\displaystyle \frac{dy(t)}{dt} = f(t, y)\) with a given initial condition \(y(t=0)=y_0\). There are several integrators available in ...
 0
 revision 3
 by SciPy Central
 on 06 August 2011

Learning Scipy
This repository contains source code programs and some notes to complement the book about the scientific Python module SciPy entitle [Learning SciPy for Numerical and Scientific Computing  Second Edition (2015 ...

Python tools for oceanographic analysis
A collaborative effort to organize Python tools for the Oceanographic Community.

NumPy / SciPy Recipes for Data Science: Eigenvalues/Eigenvectors of Covariance Matrices
In this note, we discuss a potential pitfall in using NumPy or SciPy methods to compute eigen decompositions of covariance matrices and show how to avoid it. In short, we ...
 0
 by christianbauckhage
 on 09 November 2015

Pure python first and secondorder automatic differentiation
The
ad
python package was designed to make the calculation of first and second derivatives (i.e., the gradient/jacobian and hessian) as transparent as possible for all the base ... 
Matplotlib tutorial
Matplotlib is probably the single most used Python package for 2Dgraphics. It provides both a very quick way to visualize data from Python and publicationquality figures in many formats. We ...
 0
 by Nicolas Rougier
 on 29 September 2015

NumPy / SciPy Recipes for Data Science: Computing Nearest Neighbors
In this note, we discuss efficient NumPy recipes for Euclidean nearest neighbor and knearest neighbor searches in data sets of moderate size. Our code snippets are basically oneliners and orders ...
 0
 by christianbauckhage
 on 08 November 2015

Ten simple rules for better figures
This link to the sources of the figures of the article “Ten Simple Rules for better figures”, Nicolas P. Rougier, Michael Droettboom, Philip E. Bourne, PLOS Computational Biology, 2014. Article ...
 0
 by Nicolas Rougier
 on 28 September 2015