Tsdat¶
Tsdat is an open-source Python framework that makes creating pipelines to process and standardize time-series data more easy, clear, and quick to stand up so that you can spend less time data-wrangling and more time on data analysis.
Table of Contents¶
- About
- Getting Started
- Tutorials and Examples
- Configuring Tsdat
- API Reference
tsdat
- Subpackages
tsdat.config
tsdat.io
- Submodules
tsdat.io.base
tsdat.io.converters
tsdat.io.handlers
tsdat.io.readers
tsdat.io.retrievers
tsdat.io.storage
tsdat.io.writers
- Submodules
tsdat.pipeline
tsdat.qc
- Submodules
tsdat.qc.base
tsdat.qc.checkers
tsdat.qc.handlers
- Submodules
- Submodules
tsdat.__main__
tsdat.main
tsdat.testing
tsdat.utils
- Classes
- Functions
- DataQualityError
- CSVHandler
- CSVReader
- CSVWriter
- CheckFailDelta
- CheckFailMax
- CheckFailMin
- CheckFailRangeMax
- CheckFailRangeMin
- CheckMissing
- CheckMonotonic
- CheckValidDelta
- CheckValidMax
- CheckValidMin
- CheckValidRangeMax
- CheckValidRangeMin
- CheckWarnDelta
- CheckWarnMax
- CheckWarnMin
- CheckWarnRangeMax
- CheckWarnRangeMin
- DataConverter
- DataHandler
- DataReader
- DataWriter
- DatasetConfig
- DefaultRetriever
- FailPipeline
- FileHandler
- FileSystem
- FileSystemS3
- FileWriter
- IngestPipeline
- NetCDFHandler
- NetCDFReader
- NetCDFWriter
- ParameterizedClass
- ParameterizedConfigClass
- ParquetHandler
- ParquetReader
- ParquetWriter
- Pipeline
- PipelineConfig
- QualityChecker
- QualityConfig
- QualityHandler
- QualityManagement
- QualityManager
- RecordQualityResults
- RemoveFailedValues
- Retriever
- RetrieverConfig
- SortDatasetByCoordinate
- SplitNetCDFHandler
- SplitNetCDFWriter
- Storage
- StorageConfig
- StringToDatetime
- UnitsConverter
- YamlModel
- ZarrHandler
- ZarrLocalStorage
- ZarrReader
- ZarrWriter
- ZipReader
- assert_close
- assign_data
- decode_cf
- get_code_version
- get_filename
- get_start_date_and_time_str
- get_start_time
- read_yaml
- record_corrections_applied
- recursive_instantiate
- Subpackages
- Collaboration
- Acknowledgements