spectrochempy.detrend

detrend(dataset, order='linear', breakpoints=None, **kwargs)[source]

Remove polynomial trend along a dimension from dataset.

Depending on the order parameter, detrend removes the best-fit polynomial line (in the least squares sense) from the data and returns the remaining data.

Parameters:

  • dataset (NDDataset) – The input data.

  • order (non-negative int or str among [‘constant’, ‘linear’, ‘quadratic’, ‘cubic’], optional, default:’linear’) – The order of the polynomial trend.

    • If order=0 or 'constant' , the mean of data is subtracted to remove a shift trend.

    • If order=1 or 'linear' (default), the best straight-fit line is subtracted from data to remove a linear trend (drift).

    • If order=2 or order=quadratic , the best fitted nth-degree polynomial line is subtracted from data to remove a quadratic polynomial trend.

    • order=n can also be used to remove any nth-degree polynomial trend.

  • breakpoints (array_like, optional) – Breakpoints to define piecewise segments of the data, specified as a vector containing coordinate values or indices indicating the location of the breakpoints. Breakpoints are useful when you want to compute separate trends for different segments of the data.

Returns:

NDDataset – The detrended dataset.

See also

Baseline

Manual baseline correction processor.

get_baseline

Compute a baseline using the Baseline class.

basc

Make a baseline correction using the Baseline class.

asls

Perform an Asymmetric Least Squares Smoothing baseline correction.

snip

Perform a Simple Non-Iterative Peak (SNIP) detection algorithm.

rubberband

Perform a Rubberband baseline correction.

autosub

Perform an automatic subtraction of reference.

Examples using spectrochempy.detrend

Using plot_multiple to plot several datasets on the same figure

Using plot_multiple to plot several datasets on the same figure