How do I define Pygimli's DataContainer to store field measurement coordinates defined by easting, northing, and depth?"

[Chih-Hao-Kuo]

ERT_inverted_conductivity.csv

[halbmy]

Your csv file is just a point list that can be nicely read by numpy

import numpy as np
DATA = np.genfromtxt("blabla.csv", names=True, delimiter=",")
print(DATA["longitude"])

You could also add selected fields to a data container

data = pg.DataContainer()
data["longitude"] = DATA["longitude"]
data["latitude"] = DATA["latitude"]

but with no huge benefit except things like data.remove(data["latitude"] > 89) or data.subset(latitude=90).

Our data container is made for index formats where you store positions only once and then you index it. This makes also spatial operations like data.translate() possible (upcoming).

From the filename I suspect this is an inversion result that is not at all related to a data container but rather a mesh.