question about checkDataValidity

[thevelvetunderground]

I follow the tutorials like this:

data.checkDataValidity()
print(data["valid"])
data.removeInvalid()
print(data)
print("Rx:",data["Rx"],"Tx:",data["Tx"])
sx = pg.x(data)
data["dist"] = np.abs(sx[data["Rx"]] - sx[data["Tx"]])
print(data["dist"])

But it seems clear all the data index:

Is this a bug or I overlookde some code?

[carsten-forty2]

It shows no data so it can't calculate distances. Could you provide the data so we can check why they had been all removed?

[thevelvetunderground]

Hi, I followed the tutorials see:https://www.pygimli.org/_tutorials_auto/0_basics/plot_3-data_container.html. And the complete code is as follows:

import numpy as np
import matplotlib.pyplot as plt
import pygimli as pg
from pygimli.physics import VESManager
data = pg.DataContainer()
data.registerSensorIndex("Tx")
data.registerSensorIndex("Rx")
for x in np.arange(10):
    data.createSensor([x*2, 0]) 
data["Rx"] = np.arange(12)
data["Tx"] = pg.Vector(data.size(), 2)
print(data)
data.save("TxRx.data")
print(open("TxRx.data").read())
data.checkDataValidity()    
print(data["valid"])
data.removeInvalid()       
print("Rx:",data["Rx"],"Tx:",data["Tx"])         
sx = pg.x(data)    
data["dist"] = np.abs(sx[data["Rx"]] - sx[data["Tx"]])
print(data["dist"])

seems like data.checkDataValidity() and data.removeInvalid() will clear all the data

[halbmy]

As the code clearly shows, by default the data row data["valid"] is zero and the method data.checkDataValidity() does not check this, instead it keeps this and sets additional data invalid. This behaviour is of course counter-intuitive and should be corrected.

For now you should just set the data valid by data["valid"]=1 (or data["valid"]=pg.Vector(data.size(), 1)).