act.qc.CleanDataset#

class act.qc.CleanDataset(ds)[source]#: Class for cleaning up QC variables to standard cf-compliance

`clean_arm_qc`([override_cf_flag, ...])	Method to clean up Xarray dataset QC variables.
`clean_arm_state_variables`(variables[, ...])	Function to clean up state variables to use more CF style.
`clean_cf_qc`([variables, sep])	Method to convert the CF standard for QC attributes to match internal format expected in the Dataset.
`clean_seri_qc`()	Method to apply SERI QC to the quality control variables.
`clean_swats_qc`([fix_data_units])	Method to apply SWATS global attribute quality control definition to the quality control variables.
`cleanup`([cleanup_arm_qc, ...])	Wrapper method to automatically call all the standard methods for dataset cleanup.
`correct_valid_minmax`(qc_variable)	Function to correct the name and location of quality control limit variables that use valid_min and valid_max incorrectly.
`fix_incorrect_variable_bit_description_attributes`()	Method to correct incorrectly defined quality control variable attributes.
`get_attr_info`([variable, flag])	Get ARM quality control definitions from the ARM standard bit_#_description, .
`handle_missing_values`([default_missing_value])	Correctly handle missing_value and _FillValue in the dataset.
`link_variables`()	Add some attributes to link and explain data to QC data relationship.
`normalize_assessment`([variables, ...])	Method to clean up assessment terms used to be consistent between embedded QC and DQRs.

Find variables that are QC variables and return list of names.