This is development documentation. Some features are not available in the stable release. View stable documentation.

spectrochempy.normalize

normalize(dataset, method='max', dim='x', inplace=False)

Normalize data along a dimension.

Parameters:

• dataset (NDDataset) – The input data.

• method (str, optional, default:’max’) – Normalization method:

  • 'max' — divide by the maximum absolute value.

  • 'sum' — divide by the sum of absolute values.

  • 'vector' — divide by the Euclidean (L2) norm.

  • 'minmax' — scale linearly to the range [0, 1].

• dim (str or int, optional, default:’x’) – Dimension along which the normalization is computed.

• inplace (bool, optional, default:False) – If True, the normalization is performed in place.

Returns:

NDDataset – The normalized dataset.

Examples

>>> dataset = scp.read("irdata/nh4.spg")
>>> nd = dataset.normalize(method="max", dim="x")