data preprocessing module

Data preprocessing module.

standardNormalization(geo, field_index)

Standard Normalized a field in the dataset.

Parameters:

Name	Type	Description	Default
geo	type	GEO class object that stored spatial data and attributes.	required
field_index	int	The index of the field to be normalized.	required

Exceptions:

Type	Description
TypeError	[description]

Source code in mygeopackage/pproc.py

def standardNormalization(geo: type(mygeopackage.Geo),field_index):
    """Standard Normalized a field in the dataset.

    Args:
        geo (class GEO): GEO class object that stored spatial data and attributes.
        field_index (int): The index of the field to be normalized.

    Raises:
        TypeError: [description]
    """
    if not isinstance(geo,mygeopackage.Geo):
        raise TypeError
    scaler = preprocessing.StandardScaler()
    #print(geo.data[:,field_index])
    geo.data[:,field_index] = scaler.fit_transform(geo.data[:,field_index].reshape(-1,1)).flatten()

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Last update: 2021-05-03