added dpsim read and complex calc support

dataprocessing/calc.py

+import matplotlib.pyplot as plt
+import numpy as np
+from .timeseries import *
+
+
+def complex_abs(name, real, imag):
+    ts_abs = TimeSeries(name, real.time, np.sqrt(real.values ** 2 + imag.values ** 2))
+    return ts_abs
+

dataprocessing/readtools.py

 import numpy as np
-from modelicares import SimRes
 import pandas as pd
-
-
-class TimeSeries:
-    def __init__(self, name, time, values, label=""):
-        self.time = np.array(time)
-        self.values = np.array(values)
-        self.name = name
-        self.label = name
+from .timeseries import *
 
 def read_time_series_Modelica(filename, time_series_names=None):
+    from modelicares import SimRes
     sim = SimRes(filename)
     times_series = []
     if time_series_names is None:
@@ -36,4 +29,28 @@ def read_time_series_PLECS(filename, time_series_names=None):
         # Read in specified time series
         for name in time_series_names:
             times_series.append(TimeSeries(name, pd_df['Time'].values, pd_df[name].values))
-    return times_series
\ No newline at end of file
+    return times_series
+
+def read_time_series_DPsim(filename, time_series_names=None):
+    pd_df = pd.read_csv(filename, header=None)
+    time_series = []
+
+    if time_series_names is None:
+        # No trajectory names specified, thus read in all
+        column_names = list(pd_df.columns.values)
+        column_names.remove(0)
+        node_index = 1
+        node_number = int(len(column_names) / 2)
+        for column in column_names:
+            if node_index <= node_number:
+                node_name = node_index
+                time_series.append(TimeSeries('node '+ str(node_name) +' Re', pd_df.iloc[:,0], pd_df.iloc[:,column]))
+            else:
+                node_name = node_index - node_number
+                time_series.append(TimeSeries('node '+ str(node_name) +' Im', pd_df.iloc[:,0], pd_df.iloc[:,column]))
+
+            node_index = node_index + 1
+    else:
+        # Read in specified time series
+        print('no column names specified yet')
+    return time_series

dataprocessing/timeseries.py

+import numpy as np
+
+class TimeSeries:
+    def __init__(self, name, time, values, label=""):
+        self.time = np.array(time)
+        self.values = np.array(values)
+        self.name = name
+        self.label = name
\ No newline at end of file