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 module, defining classes TimeSeries and special TimeSpec as well as some helpers
imex: Routines for the automatic bulk import, conversion & aggregation of data from (a lot of!) CSV-files, e.g. proper extraction of all individual time-series hidden in event logs
utils: Helpers and routines for general analysis of TimeSeries objects 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 | 2022-2025 ]
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