# 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:
**tscore**: main file, defining classes ```TimeSeries``` and special ```TimeSpec``` as well as some helpers
**tsutils**: routines for the automatic import of time-series data from CSV files and operators on two objects (involving a routine to make the objects "coherent" in time)
**tsvis**: classes related to a well-defined "mass visualisation" of TimeSeries objects in automated scripts
**batchimport**: helpers for the mass import, conversion & aggregation of data from (many!) CSV-files (e.g. proper extraction of all individual time-series hidden in event logs)
**xutils**: special conversion utilities for CSV-files containing DFT spectra as generated by the software "CMS X-Tools" (Siemens AG).
*Note: Structuring & naming above will be s.t. refactoring and thus change in future versions. That is, backward compatibility IS LIKELY to break soon!*
[ Dr. Marcus Zeller | dsp4444@gmail.com | Erlangen, Germany | 2022-2024 ]
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"description": "# zynamon\r\n\r\n## Synopsis\r\n\r\nGeneralized & powerful time-series class and related functions.\r\n\r\n## Contents\r\n\r\nThis 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).\r\n\r\nAs of now, this package is structured into the following modules:\r\n\r\n**tscore**: main file, defining classes ```TimeSeries``` and special ```TimeSpec``` as well as some helpers\r\n\r\n**tsutils**: routines for the automatic import of time-series data from CSV files and operators on two objects (involving a routine to make the objects \"coherent\" in time)\r\n\r\n**tsvis**: classes related to a well-defined \"mass visualisation\" of TimeSeries objects in automated scripts\r\n\r\n**batchimport**: helpers for the mass import, conversion & aggregation of data from (many!) CSV-files (e.g. proper extraction of all individual time-series hidden in event logs)\r\n\r\n**xutils**: special conversion utilities for CSV-files containing DFT spectra as generated by the software \"CMS X-Tools\" (Siemens AG).\r\n\r\n*Note: Structuring & naming above will be s.t. refactoring and thus change in future versions. That is, backward compatibility IS LIKELY to break soon!*\r\n\r\n[ Dr. Marcus Zeller | dsp4444@gmail.com | Erlangen, Germany | 2022-2024 ]\r\n",
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