Auswertung Schersteifigkeit Labor Hart ergänzt

src/paveit/labtest/citt.py

@@ -133,6 +133,7 @@ class CITTBase(DataSineLoad):
                 for idxcol, col in enumerate(self.columns_analyse):
 
                     if not col in data.columns: continue
+
                     y = data[col].values
 
                     res = fit_cos(x, y, freq=freq)
@@ -744,3 +745,105 @@ class CITT_LaborHart(CITTBase):
         # log infos
         self._logger.info(self.metadata)
         self._logger.info(self.data.head())
+
+
+class CITT_BAGKoeln(CITTBase):
+
+    def _define_units(self):
+
+        self.unit_s = 1.0  #mm
+        self.unit_F = 1.0  #N
+        self.unit_t = 1. / 1000.0  #s
+
+    def update_parameter(self):
+
+        self.meta_names_of_parameter = {
+            'sigma': ['Oberspannung'],
+            'T': ['Solltemperatur'],
+            't': ['TIME'],
+            'speciment_diameter': ['Probendurchmesser'],
+            'speciment_height': ['Probenhöhe'],
+        }  #list of names
+
+        self.data_column_names = {
+            'time': ['TIME'],
+            'f': ['FREQUENZ'],
+            'F': ['Load'],
+            's_hor_1': ['SENSOR 4'],
+            's_hor_2': ['SENSOR Extension'],
+            's_piston': ['Position'],
+            'N': ['Impulsnummer'],
+        }
+
+    def _process_data(self):
+
+        meta = {}
+
+        splitsign = ':;'
+        encoding = 'latin-1'
+        skiprows = 14
+
+        self.data.seek(0)
+        f = self.data.readlines()
+
+        count = 0
+
+        for line in f:
+            count += 1
+
+            #remove whitespace
+            line = line.decode(encoding)
+            linesplit = line.strip()
+            linesplit = linesplit.split(splitsign)
+
+            if len(linesplit) == 2:
+
+                meta[linesplit[0]] = linesplit[1]
+
+            if count >= skiprows:
+                break
+
+        # data
+        self.data.seek(0)
+
+        data = pd.read_csv(self.data,
+                           encoding=encoding,
+                           skiprows=skiprows,
+                           decimal=',',
+                           sep=';')
+
+        ## add header to df
+        self.data.seek(0)
+        f = self.data.readlines()
+        count = 0
+
+        for line in f:
+            count += 1
+
+            if count >= skiprows:
+                break
+
+        line = line.decode(encoding)
+        head = line.split(';')
+        data.columns = head
+
+        # FIX: Sigma nicht in Metadaten oder Messdaten enthalten
+        sigma = float(
+            os.path.split(self.filename)[-1].split('MPa')[0].strip().replace(
+                ',', '.'))
+
+        meta['sigma'] = sigma
+
+        #clean data
+        data = data.dropna(axis=1)
+
+        #remove whitespace
+        data.columns = [c.strip() for c in data.columns]
+
+        #define in class
+        self.data = data
+        self.metadata.update(meta)
+
+        # log infos
+        self._logger.info(self.metadata)
+        self._logger.info(self.data.head())