WaterFrame.qc_flat_test(parameters=None, window=3, flag=4, inplace=True)

Reference

It detects if there are equal consecutive values in the time series.

\[Q_n = \left\lbrace \begin{array}{c} K ~if ~\frac{\sum_{t = n - w}^{n} f(d,t)}{w} = f(d,n) \\ 0~ otherwise \end{array}\right.\]

Parameters

• parameters: Parameter to apply the test. (str, list of str)
• window: Size of the moving window of values to calculate the mean. If it is 0, the function calculates the optimal window. (int)
• flag: Flag value to write in on the fail test values. (int)
• inplace: If True, it changes the flags in place and returns True. Otherwhise it returns an other WaterFrame. (bool)

Returns

• new_wf: WaterFrame

Example

To reproduce the example, download the NetCDF file here and save it as MO_TS_MO_OBSEA_201401.nc in the same python script folder.

import mooda as md
import matplotlib.pyplot as plt

path = "MO_TS_MO_OBSEA_201401.nc" # Path to the NetCDF file

wf = md.read_nc_emodnet(path)

wf.qc_flat_test()

Return to mooda.WaterFrame.