watex.utils.exmath.compute_lower_anomaly#

watex.utils.exmath.compute_lower_anomaly(erp_array, station_position=None, step=None, **kws)[source]#

Function to get the minimum value on the ERP array.

If pk is provided wil give the index of pk.

Parameters

  • erp_array (array_like) – array of apparent resistivity profile

  • position (station) – array of station position (survey), if not given and step is known , set the step value and station_position will compute automatically

  • step – The distance between measurement im meter. If given will recompute the station_position

Returns

  • bestSelectedDict: dict containing best anomalies

    with the anomaly resistivities range.

  • anpks: Main positions of best select anomaly

  • collectanlyBounds: list of arrays of select anomaly values

  • min_pks: list of tuples (pk, minVal of best anomalies points.)

Return type

tuple

Example
>>> from watex.utils.exmath import compute_lower_anolamy
>>> import pandas as pd
>>> erp_data= 'data/l10_gbalo.xlsx'
>>> dataRes=pd.read_excel(erp_data).to_numpy()[:,-1]
>>> anomaly, *_ =  compute_lower_anomaly(erp_array=data, step =10)
>>> anomaly