TiSKitPy documentation

tiskitpy is the TIme Series data processing toolKIT, used for cleaning data series and calculating the coherencies and frequence response functions between them. Most of the algorithms are based on BP2010.

Classes, functions and command_line programs are listed in the Overview

The cleaning algorithms can create multiple instances of the ‘same’ data stream. In order to keep track of these instances, tiskitpy stores clean_sequence information, as described in clean_sequences

Table of Contents:

• Overview
  • Classes
  • Functions
  • Command-line programs
• Installation
• Classes
  • SpectralDensity
  • Decimator
  • DataCleaner
  • CleanRotator
  • ResponseFunctions
  • SeafloorSynthetic
  • Compliance
  • TimeSpans
  • CleanedStream
  • EarthModel1D
  • PSDVals
• Functions
  • tiskitpy.plot_compliance_stack
  • tiskitpy.read_MSEED
  • tiskitpy.Peterson_noise_model
  • tiskitpy.stream_unmask
  • tiskitpy.fir2caus
• Removing Periodic Transients
  • Constructor
  • Properties
  • Methods
  • Example
• Avoiding earthquakes and other noisy data
  • Default behavior
  • Adding/modifying time spans to avoid
  • Using the same time spans on different objects
• Example codes
  • SpectralDensity example code
  • Decimator example code
  • DataCleaner example code
  • ResponseFunctions example code
  • CleanRotator example code
  • TimeSpans example code
  • Combining classes
  • Combining classes, online data example
  • The tiskitpy_decimate_SDS console script
  • Compliance Calculation example code
• clean_sequences
  • The clean_sequences list
  • Classes implementation
  • seed_id and tiskitpy_id
• Programmers Corner
  • Concepts
  • Helper classes and functions

Index

[BP2010]

Bendat J. S. and A. G. Piersol (1986), Random Data: Analysis and Measurement Procedures, 566 pp.