diff --git a/Quadrature.py b/Quadrature.py
index 600abfd4cc48bf64fc4e047eddf1db177fdf230a..32c2ac283175a9a585e47115dc071f1e83c0fabc 100644
--- a/Quadrature.py
+++ b/Quadrature.py
@@ -7,29 +7,91 @@ import numpy.polynomial.legendre as leg
 
 
 class Quadrature(object):
+    """Class for quadrature.
+
+    A quadrature is used to determine the approximation of a definite integral of a function.
+
+    Attributes
+    ----------
+    num_eval_points : int
+        Number of evaluation points per cell used for approximation.
+    eval_points : np.array
+        Evaluation points per cell used for approximation.
+    weights : np.array
+        Weights used for approximation calculation.
+
+    Methods
+    -------
+    get_name()
+        Returns string of class name.
+    get_num_points()
+        Returns number of evaluation points.
+    get_eval_points()
+        Returns evaluation points.
+    get_weights()
+        Returns evaluation weights.
+
+    """
     def __init__(self, config):
         self._reset(config)
 
     def _reset(self, config):
+        """Resets instance variables.
+
+        Parameters
+        ----------
+        config : dict
+            Additional parameters for quadrature.
+
+        """
         self._num_eval_points = None
         self._eval_points = None
         self._weights = None
 
     def get_name(self):
+        """Returns string of class name."""
         return self.__class__.__name__
 
     def get_num_points(self):
+        """Returns number of evaluation points."""
         return self._num_eval_points
 
     def get_eval_points(self):
+        """Returns evaluation points."""
         return self._eval_points
 
     def get_weights(self):
+        """Returns evaluation weights."""
         return self._weights
 
 
 class Gauss(Quadrature):
+    """Class for Gaussian quadrature.
+
+    Attributes
+    ----------
+    num_eval_points : int
+        Number of evaluation points per cell used for approximation.
+    eval_points : np.array
+        Evaluation points per cell used for approximation.
+    weights : np.array
+        Weights used for approximation calculation.
+
+    Methods
+    -------
+    get_name()
+        Returns string of class name.
+
+    """
     def _reset(self, config):
+        """Resets instance variables.
+
+        Parameters
+        ----------
+        config : dict
+            Additional parameters for quadrature.
+
+        """
         super()._reset(config)
 
         # Unpack necessary configurations
@@ -38,4 +100,5 @@ class Gauss(Quadrature):
         self._eval_points, self._weights = leg.leggauss(self._num_eval_points)
 
     def get_name(self):
+        """Returns string of class name concatenated with the number of evaluation points."""
         return self.__class__.__name__ + str(self._num_eval_points)