TAPPY for Windows Publisher's description
from Tim Cera
TAPPY is a tidal analysis package.
TAPPY is a tidal analysis package. It breaks down a record of water levels into the component sine waves. It is written in Python and uses the least squares optimization and other functions in SciPy. The focus is to make the most accurate analysis possible. TAPPY only determines the constituents that are calculatable according to the length of the time series.
Outputs a 'International Hydrographic Organization - Tidal and Water Level Working Group' standard XML constituent file.
Uses the IHO standard XML constituent file to make a predicted time series. By far the most frequent request that I get.
Calculates the node factor at each water elevation measurement. Very important for long time-series (greater than a year).
Very accurate ephemeris calculations thanks to the Astrolabe library.
Able to read in different input data sets without changing TAPPY or the input data set. All you have to do is create a file that defines the input data set. Thanks to Pyparsing.
Added the capability to read compressed files and Internet data streams (actually any URL) directly into TAPPY by using filelike.
The time-series does not need to have equal intervals. In fact any length of missing data is allowed (though too much missing will cause a poor analysis).
Can adjust the Rayleigh factor that nearby constituents are compared against to determine what constituents can be differentiated.
TAPPY chooses the main constituents based upon the length of the time series and infers additional constituents that are known to be specifically related to the main constituents.
Can filter the tidal energy out of the input signal using transform (FFT), usgs (PL33), doodson, and boxcar methods. | CompareTidalFilters
Can use the tidal filters to zero the time-series before determination of tidal constituents.
Can pad the usgs, doodson, and boxcar filters with predicted data to minimize edge effects of the filters.
Convenience function to fill missing values with the time series created from the tidal constituent signals. | FillMissing
System Requirements:В· Python
Program Release Status: New Release
Program Install Support: Install and Uninstall