Added Functions to read sta.txt files directly into pandas dataframe

TensileTestEpoxy/DataAnalysisFuncV1b.py

@@ -245,4 +245,103 @@ def BuildTable(TableHeading,SpecNames,C1=1,C2=1,C3=1,C4=1,C5=1,C6=1,C7=1):
 #   the_table.scale(1.1, 1.5)
     plt.plot()
     plt.savefig('TableOut.png')
-    plt.show()
\ No newline at end of file
+    plt.show()
+    
+    
+def ReadStaTxtFile(fileName):
+    """
+    
+    
+    
+    This function reads full sta.txt files and returns a data-header (list of strings), a data description (dictionary) and the data columns (numpy array).
+    
+    
+    :param fileName: The file name/location on to be read
+    :type fileName: String
+    
+    :return: Data header
+    :rtype: List of strings
+    :return: Description, the file information used to describe the DSC run
+    :rtype: Dictionary
+    :return: Data
+    :rtype: Numpy array
+    """
+    
+    
+    # list container for the data and flag for when header is passed
+    valueList = []
+    flagStart = 0
+    Description = dict()
+    
+    # Open the file
+    with open(fileName, 'r',errors='replace') as file:
+        
+        # Read all lines
+        lines = file.readlines()
+        
+        for i,line in enumerate(lines):
+            if "Time [s]" in line:
+                flagStart = i
+                header = line.split("]")
+                break
+        
+        
+        # Try to get the descriptions. There might not be any, which is why this is placed under a try-catch statement
+        try:
+            # Get the description lines
+            DescriptionStrings = [line for i,line in enumerate(lines) if i < flagStart]
+            
+            # Retrieve the header line (always the last line before the data)
+            #header = DescriptionStrings.pop(-1)
+            
+            
+            
+            # Create dictionary from description
+            for D in DescriptionStrings:
+                
+                #print(DescriptionStrings)
+                #print(D.split(':')[0].strip())
+                #Description[D.rstrip().split(':')[0]] = D.rstrip().split(':')[1] 
+                if len(D.strip()) > 0:
+                    Description[D.split(':')[0].strip()] = D.split(':')[1].strip() 
+        except:
+            print("Failed during reading of the description")
+        
+        stringLines = [line.split('\t') for i,line in enumerate(lines) if i > flagStart]# not in line and len(line.rstrip())>0]
+        
+        
+        valueList = [[float(x) for x in stringList if len(x) > 0] for stringList in stringLines]
+        
+        #floatRow = [float(x) for x in stringLines]
+        
+        #stringLine = line.split(';')
+                                                                                                                                                                                                                                                                                                                                                                                    #floatRow = [float(x) for x in stringLine]
+        
+    
+    
+    return header,Description,np.array(valueList)
+
+
+
+def StaTxtFileToPandas(fileName):
+    
+    header,Description,Data = ReadStaTxtFile(fileName)
+    
+    panData = pd.DataFrame()
+    unitsDict = dict()
+    for i,head in enumerate(header):
+        try:
+            item,unit = tuple(head.strip().split("["))
+            print("Item '{}' has unit(s) {}".format(item,unit))
+            
+            item2 = ''.join(item.split())
+            panData[item2] = Data[:,i]
+            unitsDict[item] = unit
+            
+        except:
+            if len(head.strip()) > 0:
+                print("Failed to unpack {}".format(head))
+            else:
+                pass
+        
+    return panData,unitsDict,Description