Get data the way you want

All of the statistics functions are located in the sub-package scipy.stats and a fairly complete listing of these functions can be obtained using info(stats) function. A list of random variables available can also be…

The scipy.optimize package provides several commonly used optimization algorithms. This module contains the following aspects − Unconstrained and constrained minimization of multivariate scalar functions (minimize()) using a variety of algorithms (e.g. BFGS,…

The SciPy ndimage submodule is dedicated to image processing. Here, ndimage means an n-dimensional image. Some of the most common tasks in image processing are as follows &miuns; Input/Output, displaying…

SciPy is built using the optimized ATLAS LAPACK and BLAS libraries. It has very fast linear algebra capabilities. All of these linear algebra routines expect an object that can be converted into a two-dimensional…

The Scipy.io (Input and Output) package provides a wide range of functions to work around with different format of files. Some of these formats are − MatlabIDLMatrix MarketWaveArffNetcdf, etc. Let…

In this chapter, we will discuss how interpolation helps in SciPy. What is Interpolation? Interpolation is the process of finding a value between two points on a line or a…

When a function cannot be integrated analytically, or is very difficult to integrate analytically, one generally turns to numerical integration methods. SciPy has a number of routines for performing numerical…

Fourier Transformation is computed on a time domain signal to check its behavior in the frequency domain. Fourier transformation finds its application in disciplines such as signal and noise processing, image…