diff --git a/verdata_til_csv.py b/verdata_til_csv.py
new file mode 100644
index 0000000..c9f6a33
--- /dev/null
+++ b/verdata_til_csv.py
@@ -0,0 +1,219 @@
+import time
+import colorsys
+import os
+import sys
+import ST7735
+try:
+    # Transitional fix for breaking change in LTR559
+    from ltr559 import LTR559
+    ltr559 = LTR559()
+except ImportError:
+    import ltr559
+
+from bme280 import BME280
+from pms5003 import PMS5003, ReadTimeoutError as pmsReadTimeoutError
+from enviroplus import gas
+from subprocess import PIPE, Popen
+from PIL import Image
+from PIL import ImageDraw
+from PIL import ImageFont
+import logging
+from datetime import datetime
+import csv
+
+logging.basicConfig(
+    format='%(asctime)s.%(msecs)03d %(levelname)-8s %(message)s',
+    level=logging.INFO,
+    datefmt='%Y-%m-%d %H:%M:%S')
+
+logging.info("""all-in-one.py - Displays readings from all of Enviro plus' sensors
+
+Press Ctrl+C to exit!
+
+""")
+
+# BME280 temperature/pressure/humidity sensor
+bme280 = BME280()
+
+# PMS5003 particulate sensor
+pms5003 = PMS5003()
+
+# Get the temperature of the CPU for compensation
+def get_cpu_temperature():
+    process = Popen(['vcgencmd', 'measure_temp'], stdout=PIPE, universal_newlines=True)
+    output, _error = process.communicate()
+    return float(output[output.index('=') + 1:output.rindex("'")])
+
+
+# Tuning factor for compensation. Decrease this number to adjust the
+# temperature down, and increase to adjust up
+factor = 0.8
+
+cpu_temps = [get_cpu_temperature()] * 5
+
+delay = 0.5  # Debounce the proximity tap
+mode = 0     # The starting mode
+last_page = 0
+light = 1
+
+# Create a values dict to store the data
+variables = ["temperature",
+             "pressure",
+             "humidity",
+             "light",
+             "oxidised",
+             "reduced",
+             "nh3",
+             "pm1",
+             "pm25",
+             "pm10"]
+
+listeAlleVerdata = []
+
+# The main loop
+try:
+    while True:
+        with open('data.csv', mode='w', newline='') as datafil: # mode='a' legg til nye data, 'w' skriv over
+            dataskriver = csv.writer(datafil)
+            
+            tidspunkt = datetime.now()
+            print("Tidspunkt:",tidspunkt)
+
+            proximity = ltr559.get_proximity()
+
+            # variable = "temperature"
+            unit = "C"
+            cpu_temp = get_cpu_temperature()
+            # Smooth out with some averaging to decrease jitter
+            cpu_temps = cpu_temps[1:] + [cpu_temp]
+            avg_cpu_temp = sum(cpu_temps) / float(len(cpu_temps))
+            raw_temp = bme280.get_temperature()
+            dataTemp = raw_temp - ((avg_cpu_temp - raw_temp) / factor)
+            #display_text(variables[mode], data, unit)
+            print(dataTemp,unit)
+
+            # variable = "pressure"
+            unit = "hPa"
+            dataTrykk = bme280.get_pressure()
+            #display_text(variables[mode], data, unit)
+            print(dataTrykk,unit)
+
+            # variable = "humidity"
+            unit = "%"
+            dataFukt = bme280.get_humidity()
+            #display_text(variables[mode], data, unit)
+            print(dataFukt,unit)
+
+            # variable = "light"
+            unit = "Lux"
+            if proximity < 10:
+                dataProx = ltr559.get_lux()
+            else:
+                dataProx = 1
+            #display_text(variables[mode], data, unit)
+            print(dataProx,unit)
+
+            # variable = "oxidised"
+            unit = "kO"
+            dataGass = gas.read_all()
+            dataGass = dataGass.oxidising / 1000
+            #display_text(variables[mode], data, unit)
+            print(dataGass,unit)
+
+            # variable = "reduced"
+            unit = "kO"
+            dataGassReduced = gas.read_all()
+            dataGassReduced = dataGassReduced.reducing / 1000
+            #display_text(variables[mode], data, unit)
+            print(dataGassReduced,unit)
+
+            # variable = "nh3"
+            unit = "kO"
+            dataGassNH3 = gas.read_all()
+            dataGassNH3 = dataGassNH3.nh3 / 1000
+            #display_text(variables[mode], data, unit)
+            print(dataGassNH3,unit)
+
+            # variable = "pm1"
+            unit = "ug/m3"
+            try:
+                dataPM1 = pms5003.read()
+            except pmsReadTimeoutError:
+                logging.warn("Failed to read PMS5003")
+            else:
+                dataPM1 = float(dataPM1.pm_ug_per_m3(1.0))
+                #display_text(variables[mode], data, unit)
+                print(dataPM1,unit)
+
+            # variable = "pm25"
+            unit = "ug/m3"
+            try:
+                data = pms5003.read()
+            except pmsReadTimeoutError:
+                logging.warn("Failed to read PMS5003")
+            else:
+                data = float(data.pm_ug_per_m3(2.5))
+                #display_text(variables[mode], data, unit)
+                print(data,unit)
+
+            # variable = "pm10"
+            unit = "ug/m3"
+            try:
+                data = pms5003.read()
+            except pmsReadTimeoutError:
+                logging.warn("Failed to read PMS5003")
+            else:
+                data = float(data.pm_ug_per_m3(10))
+                #display_text(variables[mode], data, unit)
+                print(data,unit)
+        
+        # Sjoelve skrivinga
+        dataskriver.writerows(listeAlleVerdata)
+        print("Data er skrive til CSV-fil.")
+
+        # Sover 5 sek mellom kvar registrering
+        print("Ventar litt...")
+        time.sleep(5)        
+
+
+# Exit cleanly
+except KeyboardInterrupt:
+    print("Avsluttar...")
+    sys.exit(0)
+
+'''
+# Tomme lister ved oppstart
+listeTemperaturar = []
+listeLuftfuktighet = []
+listeCO2 = []
+listeAlleVerdata = []
+
+def returnerAlleVerdata():
+    print("---")
+
+# Ein funksjon som registrer over tid, heilt til brukaren avsluttar med CTRL+C
+def registrerSaaLenge():
+    kjorer = True
+    while kjorer:
+        try:
+            listeAlleVerdata.append(returnerAlleVerdata())
+            print("Legg til data i lista med alle verdata.")
+            time.sleep(0.5)
+        except KeyboardInterrupt:
+            kjorer = False
+            print("Avsluttar registrering.")
+            print(listeAlleVerdata)
+
+registrerSaaLenge()
+
+'''
+#Skrive verdata til CSV-fil, basert paa listene fraa funksjonen registrerSaaLenge()
+'''
+print("-------------------------")
+with open('data.csv', mode='w', newline='') as datafil: # mode='a' legg til nye data, 'w' skriv over
+    dataskriver = csv.writer(datafil)
+    dataskriver.writerows(listeAlleVerdata)
+    print("Data er skrive til CSV-fil.")
+    #dataskriver.writerows([verdi] for verdi in listeTemperaturar) # Brukte denne naar eg berre hadde tall (temperatur), ikkje tidskode. Skjoenar ikkje kvifor det var noedvendig.
+
+'''