fixed paramter file

use stream.merge(fill_value=np.nan)

parameters.yaml

@@ -4,7 +4,6 @@ networks: ["1Y", "HA"]                    # select networks, list or str
 stations: "*"                             # select stations, list or str
 locations: "*"                            # select locations, list or str
 channels: ["EX1", "EX2", "EX3", "VEI", "LCQ"]    # Specify SOH channels, currently supported EX[1-3], VEI, LCQ
-channel_names: ["Clock Quality (%)", "Temperature (°C)", "230V/12V Status (V)", "Router/Charger State (V)", "Logger Voltage (V)"] # names for plotting (optional)
 stations_blacklist: ["TEST", "EREA"]
 networks_blacklist: []
 interval: 60               # Perform checks every x seconds
@@ -63,9 +62,10 @@ EMAIL:
   sender: "webmaster@geophysik.ruhr-uni-bochum.de" # mail sender
 
 # names for plotting of the above defined parameter "channels" in the same order
-channel_names: ["Temperature (°C)", "230V/12V Status (V)", "Router/Charger State (V)", "Logger Voltage (V)"]
+channel_names: ["Clock Quality (%)", "Temperature (°C)", "230V/12V Status (V)", "Router/Charger State (V)", "Logger Voltage (V)"] # names for plotting (optional)
 # specify y-ticks (and ylims) giving, (ymin, ymax, step) for each of the above channels (0: default)
 CHANNEL_TICKS:
+  - [0, 100, 20]
   - [-10, 50, 10]
   - [1, 5, 1]
   - [1, 5, 1]

survBot.py

@@ -157,7 +157,7 @@ class SurveillanceBot(object):
             if filename in self.filenames_read:
                 continue
             try:
-                st_new = read(filename)
+                st_new = read(filename, dtype=float)
                 # add file to read filenames to prevent re-reading in case it is not the current day (or end of
                 # previous day)
                 if not filename.endswith(f'{current_day:03}') and not (
@@ -167,7 +167,7 @@ class SurveillanceBot(object):
                 print(f'Could not read file {filename}:', e)
                 continue
             self.dataStream += st_new
-        self.dataStream.merge()
+        self.dataStream.merge(fill_value=np.nan)
 
         # organise data in dictionary with key for each station
         for trace in self.dataStream: