Auswertung für Daten der TUD in Hauptklasse ergänzt

.gitignore

@@ -1,3 +1,5 @@
+.vscode
+
 # ---> Python
 # Byte-compiled / optimized / DLL files
 __pycache__/

README.md

@@ -1,3 +1,3 @@
 # pytest
 
-Python Modul zur Auswertung von Versuchsdaten des Straßenbaus
+Python Modul zur Auswertung von Versuchsdaten des Straßenbaus

pytestpavement/versuche/schichtenverbund.py

@@ -8,6 +8,7 @@ import pandas as pd
 from aenum import enum
 from fsutil import exists
 from pytestpavement.analysis import fit_cos, fit_cos_eval
+from pytestpavement.io import read_geosys
 
 
 def fit_single_data(g):
@@ -87,9 +88,9 @@ class TestSchichtenverbundV2GeoSys():
 
     def __init__(self,
                  filename: str,
-                 diameter: float,
+                 diameter: float = 100.0,
                  spalt: float = 1.0,
-                 tablenum: str = '038',
+                 tablenum: str = '013',
                  debug: bool = False,
                  plot_fit: bool = False,
                  plot_fit_error: bool = True):
@@ -136,11 +137,35 @@ class TestSchichtenverbundV2GeoSys():
 
     def _read(self):
 
-        self.data = []
+        meta, data = read_geosys('./data/raw/TU Dresden/PK4.txt',
+                                 self._tablenum,
+                                 debug=self._debug)
+
+        self.diameter = meta['d']
+
+        data = data.reset_index()
+
+        self.data = data
 
     def _normalize_data(self):
 
-        return
+        col = list(self.data.columns)
+
+        for i, d in enumerate(col):
+
+            if d == 't':
+                col[i] = 'time'
+            elif d == 'f':
+                col[i] = 'f_set'
+            elif d == 's_vert_1':
+                col[i] = 's1'
+            elif d == 's_vert_2':
+                col[i] = 's2'
+
+        self.data.columns = col
+
+        if self._debug:
+            print(self.data.columns)
 
     def _set_units(self):
 
@@ -162,6 +187,15 @@ class TestSchichtenverbundV2GeoSys():
 
         check = [item in self.data.columns for item in must_have_values]
 
+        if not all(check):
+            print('Error in Parameters:')
+            for i, c in enumerate(check):
+                if c == False:
+                    p = must_have_values[i]
+                    print(f'\t - {p}')
+
+            print(self.data.head())
+
         assert all(check)
 
         pass