src.toolbox.steps.custom.qc.spike_qc

QC test for flagging using spike/despike detection methods.

Classes

spike_qc

Target Variable: Any

Module Contents

class src.toolbox.steps.custom.qc.spike_qc.spike_qc(data, **kwargs)

Bases: toolbox.steps.base_qc.BaseQC

Target Variable: Any Flag Number: 4 (bad) Variables Flagged: Any Checks for spiking in the data using rolling median values compared against the meadian average deviation (MAD).

Example

• name: “Apply QC” parameters:

  qc_settings: {

  “spike test”: {

  “variables”: {“PRES”: 2, “LATITUDE”: 1}, “also_flag”: {“PRES”: [“CNDC”, “TEMP”], “LATITUDE”: [“LONGITUDE”]}, “plot”: [“PRES”, “LATITUDE”] “window_size”: 10,

  }

  }

  diagnostics: true

qc_name = 'spike qc'

dynamic = True

expected_parameters

required_variables

qc_outputs

window_size

flags = None

return_qc()

plot_diagnostics()