shorter but still descriptive names

processing/post/addCauchy.py

@@ -41,9 +41,9 @@ for name in filenames:
     damask.util.report(scriptName,name)
 
     table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
-    table.add_array('Cauchy',
+    table.add('Cauchy',
-                    damask.mechanics.Cauchy(table.get_array(options.defgrad).reshape(-1,3,3),
+              damask.mechanics.Cauchy(table.get(options.defgrad).reshape(-1,3,3),
-                                            table.get_array(options.stress).reshape(-1,3,3)).reshape(-1,9),
+                                      table.get(options.stress ).reshape(-1,3,3)).reshape(-1,9),
               scriptID+' '+' '.join(sys.argv[1:]))
 
     table.to_ASCII(sys.stdout if name is None else name)

processing/post/addDeterminant.py

@@ -38,8 +38,8 @@ for name in filenames:
 
     table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
     for tensor in options.tensor:
-         table.add_array('det({})'.format(tensor),
+         table.add('det({})'.format(tensor),
-                         np.linalg.det(table.get_array(tensor).reshape(-1,3,3)),
+                   np.linalg.det(table.get(tensor).reshape(-1,3,3)),
                    scriptID+' '+' '.join(sys.argv[1:]))
 
     table.to_ASCII(sys.stdout if name is None else name)

processing/post/addDeviator.py

@@ -40,12 +40,12 @@ for name in filenames:
     
     table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
     for tensor in options.tensor:
-         table.add_array('dev({})'.format(tensor),
+         table.add('dev({})'.format(tensor),
-                         damask.mechanics.deviatoric_part(table.get_array(tensor).reshape(-1,3,3)).reshape((-1,9)),
+                   damask.mechanics.deviatoric_part(table.get(tensor).reshape(-1,3,3)).reshape((-1,9)),
                    scriptID+' '+' '.join(sys.argv[1:]))
          if options.spherical:
-             table.add_array('sph({})'.format(tensor),
+             table.add('sph({})'.format(tensor),
-                             damask.mechanics.spherical_part(table.get_array(tensor).reshape(-1,3,3)),
+                       damask.mechanics.spherical_part(table.get(tensor).reshape(-1,3,3)),
                        scriptID+' '+' '.join(sys.argv[1:]))
 
     table.to_ASCII(sys.stdout if name is None else name)

processing/post/addMises.py

@@ -45,12 +45,12 @@ for name in filenames:
 
     table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
     for strain in options.strain:
-        table.add_array('Mises({})'.format(strain),
+        table.add('Mises({})'.format(strain),
-                        damask.mechanics.Mises_strain(damask.mechanics.symmetric(table.get_array(strain).reshape(-1,3,3))),
+                  damask.mechanics.Mises_strain(damask.mechanics.symmetric(table.get(strain).reshape(-1,3,3))),
                   scriptID+' '+' '.join(sys.argv[1:]))
     for stress in options.stress:
-        table.add_array('Mises({})'.format(stress),
+        table.add('Mises({})'.format(stress),
-                        damask.mechanics.Mises_stress(damask.mechanics.symmetric(table.get_array(stress).reshape(-1,3,3))),
+                  damask.mechanics.Mises_stress(damask.mechanics.symmetric(table.get(stress).reshape(-1,3,3))),
                   scriptID+' '+' '.join(sys.argv[1:]))
     
     table.to_ASCII(sys.stdout if name is None else name)

processing/post/addPK2.py

@@ -42,9 +42,9 @@ for name in filenames:
 
     table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
 
-    table.add_array('S',
+    table.add('S',
-                    damask.mechanics.PK2(table.get_array(options.defgrad).reshape(-1,3,3),
+              damask.mechanics.PK2(table.get(options.defgrad).reshape(-1,3,3),
-                                         table.get_array(options.stress).reshape(-1,3,3)).reshape(-1,9),
+                                   table.get(options.stress ).reshape(-1,3,3)).reshape(-1,9),
               scriptID+' '+' '.join(sys.argv[1:]))
 
     table.to_ASCII(sys.stdout if name is None else name)

processing/post/scaleData.py

@@ -44,7 +44,8 @@ for name in filenames:
 
     table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
     for i,label in enumerate(options.label):
-        table.set_array(label,table.get_array(label)*float(options.factor[i]),
+        table.set(label,
+                  table.get(label)*float(options.factor[i]),
                   scriptID+' '+' '.join(sys.argv[1:]))
 
     table.to_ASCII(sys.stdout if name is None else name)

processing/post/shiftData.py

@@ -44,7 +44,8 @@ for name in filenames:
 
     table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
     for i,label in enumerate(options.label):
-        table.set_array(label,table.get_array(label)+float(options.offset[i]),
+        table.set(label,
+                  table.get(label)+float(options.offset[i]),
                   scriptID+' '+' '.join(sys.argv[1:]))
 
     table.to_ASCII(sys.stdout if name is None else name)

python/damask/table.py

@@ -87,14 +87,19 @@ class Table():
         return Table(data,shapes,comments)
 
 
-    def get_array(self,label):
+    def labels(self):
+        """Return the labels of all columns."""
+        return list(self.shapes.keys())
+
+
+    def get(self,label):
         """
-        Return data as array.
+        Get column data.
 
         Parameters
         ----------
         label : str
-            Label of the array.
+            Column label.
 
         """
         if re.match(r'[0-9]*?_',label):
@@ -103,62 +108,60 @@ class Table():
         else: 
             return self.data[label].to_numpy().reshape((-1,)+self.shapes[label])
 
-    def set_array(self,label,array,info):
+    def set(self,label,data,info=None):
         """
-        Modify data in the spreadsheet.
+        Set column data.
 
         Parameters
         ----------
         label : str
-            Label for the new data.
+            Column label.
-        array : np.ndarray
+        data : np.ndarray
             New data.
-        info : str
+        info : str, optional
             Human-readable information about the new data.
 
         """
-        if np.prod(array.shape[1:],dtype=int) == 1: 
+        if info is not None:
+            if np.prod(data.shape[1:],dtype=int) == 1: 
                 self.comments.append('{}: {}'.format(label,info))
             else:
-            self.comments.append('{} {}: {}'.format(label,array.shape[1:],info))
+                self.comments.append('{} {}: {}'.format(label,data.shape[1:],info))
 
         if re.match(r'[0-9]*?_',label):
             idx,key = label.split('_',1)
             iloc = self.data.columns.get_loc(key).tolist().index(True) + int(idx) -1
-            self.data.iloc[:,iloc] = array
+            self.data.iloc[:,iloc] = data
         else: 
-            self.data[label]       = array.reshape(self.data[label].shape)
+            self.data[label]       = data.reshape(self.data[label].shape)
 
-
+    def add(self,label,data,info=None):
-    def labels(self):
-        """Return the labels of all columns."""
-        return list(self.shapes.keys())
-
-    def add_array(self,label,array,info):
         """
-        Add data to the spreadsheet.
+        Add column data.
 
         Parameters
         ----------
         label : str
-            Label for the new data.
+            Column label.
-        array : np.ndarray
+        data : np.ndarray
-            New data.
+            Modified data.
-        info : str
+        info : str, optional
-            Human-readable information about the new data.
+            Human-readable information about the modified data.
 
         """
-        if np.prod(array.shape[1:],dtype=int) == 1: 
+        if info is not None:
+           if np.prod(data.shape[1:],dtype=int) == 1: 
                self.comments.append('{}: {}'.format(label,info))
            else:
-            self.comments.append('{} {}: {}'.format(label,array.shape[1:],info))
+               self.comments.append('{} {}: {}'.format(label,data.shape[1:],info))
         
-        self.shapes[label] = array.shape[1:] if len(array.shape) > 1 else (1,)
+        self.shapes[label] = data.shape[1:] if len(data.shape) > 1 else (1,)
-        size = np.prod(array.shape[1:],dtype=int) 
+        size = np.prod(data.shape[1:],dtype=int) 
-        new_data = pd.DataFrame(data=array.reshape(-1,size),
+        new_data = pd.DataFrame(data=data.reshape(-1,size),
                                 columns=[label for l in range(size)])
         self.data = pd.concat([self.data,new_data],axis=1)
 
+
     def to_ASCII(self,fname):
         """
         Store as plain text file.

python/tests/test_Table.py

@@ -20,11 +20,11 @@ def reference_dir(reference_dir_base):
 class TestTable:
     
     def test_get_tensor(self,default):
-        d = default.get_array('F')
+        d = default.get('F')
         assert np.allclose(d,1.0) and d.shape[1:] == (3,3) 
 
     def test_get_vector(self,default):
-        d = default.get_array('v')
+        d = default.get('v')
         assert np.allclose(d,1.0) and d.shape[1:] == (3,)
   
     def test_write_read_str(self,default,tmpdir):
@@ -44,30 +44,30 @@ class TestTable:
         with open(os.path.join(reference_dir,fname)) as f:
             new = Table.from_ASCII(f)
     
-    def test_set_array(self,default):
+    def test_set(self,default):
-        default.set_array('F',np.zeros((5,3,3)),'set to zero')
+        default.set('F',np.zeros((5,3,3)),'set to zero')
-        d=default.get_array('F')
+        d=default.get('F')
         assert np.allclose(d,0.0) and d.shape[1:] == (3,3)
 
     def test_labels(self,default):
         assert default.labels() == ['F','v','s']
         
-    def test_add_array(self,default):
+    def test_add(self,default):
         d = np.random.random((5,9))
-        default.add_array('nine',d,'random data')
+        default.add('nine',d,'random data')
-        assert np.allclose(d,default.get_array('nine'))
+        assert np.allclose(d,default.get('nine'))
 
 
     def test_invalid_initialization(self,default):
-        x = default.get_array('v')
+        x = default.get('v')
         with pytest.raises(IndexError):
             Table(x,{'F':(3,3)})
 
     def test_invalid_set(self,default):
-        x = default.get_array('v')
+        x = default.get('v')
         with pytest.raises(ValueError):
-            default.set_array('F',x,'does not work')
+            default.set('F',x,'does not work')
 
-    def test_invalid_get_array(self,default):
+    def test_invalid_get(self,default):
         with pytest.raises(KeyError):
-            default.get_array('n')
+            default.get('n')