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
- calculation of orientation from velocity, recorded with IMUs or
space-fixed systems (four different algorithms are implemente here:
- 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
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).
Modules¶
Indices and tables¶
Note
Author: Thomas Haslwanter
Version: 0.11.8
Date: Apr 2016
email: thomas.haslwanter@fh-linz.at
Copyright (c): 2016, Thomas Haslwanter. All rights reserved.
Licence: This work is licensed under the BSD 2-Clause License
