thLib - Documentation

thLib is a library for scientific data analysis, with a focus on 3d kinematics.

It is hosted under https://pypi.python.org/pypi/thLib, and contains the following modules:

quat Functions for working with quaternions:
  • quaternion multiplication, inversion, conjugate
  • conversions to rotation matrices, axis angles, vectors
  • a Quaternion class, including operator overloading for multiplication and division
  • also work on data arrays
rotmat Functions for working with rotation matrices
  • rotation matrices for rotations about the x-, y-, and z-axis
  • symbolic rotation matrices
  • conversions to Euler, Fick, Helmholtz angles
vector Functions for working with vectors
  • angle between vectors
  • Gram-Schmidt orthogonalization
  • projection
  • normalization
  • rotation
  • also work on data arrays
imus Analysis routines for IMU-recordings
  • calculation of orientation from velocity, recorded with IMUs or space-fixed systems (four different algorithms are implemente here:
    • simple quaternion integration
    • a quaternion Kalman filter
    • Madgwick’s algorithm
    • Mahony’s algorithm
  • calculation of position and orientation from IMU-signals
  • utility to read in data from an XSens system
markers Analysis routines for 3D movements from marker-based video recordings
  • a function that takes recordings from video-systems (e.g. Optotrak) and calculates position and orientation
  • calculation of joint movements from marker recordings
fits Contains examples for a number of fitting applications, for fitting
  • lines
  • circles (with RANSAC, or directly)
  • exponential decays
  • sine waves
  • ellipses
  • regressions (including confidence intervals)
signals Has functions that manipulate data
  • a Savitzky-Golay for data smoothing and derivatives
  • a power spectrum
  • a function to calculate and show mean and standard error for time series data.
  • a visualization for cross- and auto-correlations
sounds Allows you to work with sounds in Python. Note that to use it with (almost) arbitrary sound-files, you need to have FFMPEG installed. The class Sound lets you
  • read sounds
  • play sounds
  • write sounds
  • define Sound-objects
ui Provides GUIs for
  • file- and directory selection, and for saving files
  • a listbox (item selection from a list)
  • a progress bar
  • a waitbar

viewer Allows you to interactively explore time-series data in your workspace

_images/viewer_large.png

Interactively analyze time-series data.

Installation

The simplest way to install thLib is

>>> pip install thLib

For upgrading to the latest version, you have to type

>>> pip install thLib -U

Dependencies

numpy, scipy, matplotlib, pandas, statsmodels, skimage, sympy

If you want to work not only with WAV-sound-files, but also with other sound formats, you need to install FFMPEG (free from http://www.ffmpeg.org).

Indices and tables

Note

Author: Thomas Haslwanter
Version: 0.11.8
Date: Apr 2016
Copyright (c): 2016, Thomas Haslwanter. All rights reserved.
Licence: This work is licensed under the BSD 2-Clause License
_images/cc_licence.png