Generalized & powerful time-series class and related functions
Project description
zynamon
Synopsis
Generalized & powerful time-series class and related functions.
Contents
This library defines a powerful time-series representation based on the well-known pandas DataFrames. However, it adds meta-data as well as conveniently built-in filtering & alignment routines for both value and time dimension. Moreover, the central time-series objects can be constructed from nearly any 1D data such that handling of various sources in a standardised way is made possible (e.g. regularly-sampled sensor data, event logs as well as audio streams).
As of now, this package is structured into the following modules:
zeit: Main class TimeSeries containing time-, value- and samples-related methods and algorithmic operators (+, -, *, /)
zeitspec: Class TimeSpec and conversion routine for a unified treatment of various timestamp representations as settings or from data (types and strings)
imex: Routines for the automatic bulk import, conversion & aggregation of data from (a lot of) CSV-like files, e.g. proper extraction of all individual time-series hidden in lengthy event logs
utils: Utilities working on TimeSeries objects such as helpers for general analysis (e.g. outliers, predictions, history etc) and operators on two arbitrary objects (incl. routines to make objects "coherent" in time)
xutils: Special conversion utilities for CSV-files containing DFT spectra as generated by the "CMS X-Tools" real-time multi-channel analysis software (Siemens AG).
[ Dr. Marcus Zeller | dsp4444@gmail.com | Erlangen, Germany | 2022-2026 ]
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