spectrochempy.denoise

denoise(dataset, ratio=99.8, **kwargs)[source]

Denoise the data using a PCA method.

Work only on 2D dataset.

Parameters:

dataset (NDDataset or a ndarray-like object) – Input object. Must have two dimensions.
ratio (float, optional, default: 99.8%) – Ratio of variance explained in %. The number of components selected for reconstruction is chosen automatically such that the amount of variance that needs to be explained is greater than the percentage specified by ratio .
**kwargs – Optional keyword parameters (see Other Parameters).

Returns:

NDDataset – Denoised 2D dataset

Other Parameters:

dim (str or int, optional, default=’x’.) – Specify on which dimension to apply this method. If dim is specified as an integer it is equivalent to the usual axis numpy parameter.
log_level (int, optional, default: “WARNING”) – Set the logging level for the method.

Examples using `spectrochempy.denoise`