Example #1
0
File: v5.py Project: GoneUp/Studies
def info():
    print("------- einzelne Werte -------------------------")
    print("16 Bit Value: " + str(rl.cbAIn(0,0,1)))
    print("Voltage Value: " + str(rl.cbVIn(0,0,1)))
    print("------- Messreihe -------------------------")
    #print("Messreihe: " + str(rl.cbAInScan(0,0,0,300,100,1)))
    #print("Messreihe: " + str(rl.cbVInScan(0,0,0,300,100,1)))
    
    print("------- Ausgabe -------------------------")
    print("Voltage Value: " + str(rl.cbVOut(0,0,101,2.5)))
    
    
    #aIn = np.array(rl.cbAInScan(0,0,0,300,100,1));
    wIn = np.array(rl.cbVInScan(0,0,0,4000,8000,1));
    
    np.savetxt("2000.csv", wIn)
Example #2
0
# -*- coding: utf-8 -*-
"""
Created on Mon Jan  7 16:10:18 2019

@author: ds-03
"""

import redlab as rl
import numpy as np

print("Samplerate:" + str(rl.cbInScanRate(0, 0, 0, 7674)))

a = (rl.cbVInScan(0, 0, 0, 300, 7674, 1))
np.savetxt("2000Frequenz.csv", a, delimiter=',')
np.save("2000Frequenz", a)

print(a)

#Rate/AbtastFrequenz = 7674
#Tatsächliche Abtastfrequnz = 7692 (Siehe Rückgabewert)
#Nyquist-Frequenz = Rate / 2 = 3837

#SinusFrequenz = 0.01
#1.Frequenz = 2500 HZ
#2.Frequenz = 3000 HZ
#3.Frequenz = 3500 HZ
#4.Frequenz = 4000 HZ
#5.Frequenz = 4500 HZ
#6.Frequenz = 5000 HZ
#7.Frequenz = 2000 HZ
Example #3
0
import redlab as rl

print("-------einzelneWerte-------------------------")
print("16BitValue:" + str(rl.cbAIn(0, 0, 1)))
print("VoltageValue:" + str(rl.cbVIn(0, 0, 1)))
print("-------Messreihe-------------------------")
print("Messreihe:" + str(rl.cbAInScan(0, 0, 0, 300, 8000, 1)))
print("Messreihe:" + str(rl.cbVInScan(0, 0, 0, 300, 8000, 1)))
print("Samplerate:" + str(rl.cbInScanRate(0, 0, 0, 8000)))
print("Nyquist:" + str(rl.cbInScanRate(0, 0, 0, 8000) / 2))
print("-------Ausgabe-------------------------")
Example #4
0
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 13 16:28:32 2016

@author: edc07
"""

import redlab as rl
import numpy as np


freq = np.linspace(1000,8000, 8)

for f in freq:
    print(f)
    input()
    data = np.array(rl.cbVInScan(0,0,0,4000,8000,1))
    np.savetxt('V5_'+str(f)+'.csv', data)