Package: ioos-qartod
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limitations under the License.Description: QARTODLibrary has been archived; new projects wishing to use QARTOD and other QC algorithms should usehttps://github.com/ioos/ioos_qcinstead.CAVEAT: this module is deprecated!
We recommendhttps://github.com/ioos/ioos_qcas an alternative QARTOD python implementation.ioos_qcis actively developed and supported by IOOS.Collection of utilities, scripts and tests to assist in automated
quality assurance and quality control for oceanographic datasets and
observing systems.Please see our project documentationQARTOD DocumentationAvailable TestsCurrent tests refer to theQARTOD manualsCurrent tests are taken from the Wind, Water Level, Currents, In-Situ Temperature and Salinity QARTOD ManualsCurrently implemented tests are:Gross Range TestAttenuated Signal TestFlat Line TestRate of Change TestRunning testsTo run tests, import the QARTOD qc module:from ioos_qartod import qcRefer to the Sphinx generated documentation for information on how to use the
various QARTOD tests.  Presently, most of the tests reside within theioos_qartod.qc_tests.qcmodule.Generally, data should be passed as numpy arrays.Caveats/Known LimitationsCurrently, most methods in the QARTOD assume monotonically increasing,
time series data with evenly spaced intervals.  If there is an irregular or
large gap in time between successive data points, the tests as written will not
take this into account.Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics