further docstrings updated

pyerrors/correlators.py

@@ -79,16 +79,16 @@ class Corr:
         else:
             raise Exception("Reweighting status of correlator corrupted.")
 
-    def gamma_method(self):
+    def gamma_method(self, **kwargs):
         """Apply the gamma method to the content of the Corr."""
         for item in self.content:
             if not(item is None):
                 if self.N == 1:
-                    item[0].gamma_method()
+                    item[0].gamma_method(**kwargs)
                 else:
                     for i in range(self.N):
                         for j in range(self.N):
-                            item[i, j].gamma_method()
+                            item[i, j].gamma_method(**kwargs)
 
     # We need to project the Correlator with a Vector to get a single value at each timeslice.
     # The method can use one or two vectors.
@@ -238,7 +238,15 @@ class Corr:
         return Corr(self.content[::-1])
 
     def correlate(self, partner):
-        """Correlate the correlator with another correlator or Obs"""
+        """Correlate the correlator with another correlator or Obs
+
+        Parameters
+        ----------
+        partner : Obs or Corr
+            partner to correlate the correlator with.
+            Can either be an Obs which is correlated with all entries of the
+            correlator or a Corr of same length.
+        """
         new_content = []
         for x0, t_slice in enumerate(self.content):
             if t_slice is None:
@@ -350,10 +358,11 @@ class Corr:
         Parameters
         ----------
         variant : str
-            log: uses the standard effective mass log(C(t) / C(t+1))
+            log : uses the standard effective mass log(C(t) / C(t+1))
-            cosh : Use periodicitiy of the correlator by solving C(t) / C(t+1) = cosh(m * (t - T/2)) / cosh(m * (t + 1 - T/2)) for m.
+            cosh, periodic : Use periodicitiy of the correlator by solving C(t) / C(t+1) = cosh(m * (t - T/2)) / cosh(m * (t + 1 - T/2)) for m.
             sinh : Use anti-periodicitiy of the correlator by solving C(t) / C(t+1) = sinh(m * (t - T/2)) / sinh(m * (t + 1 - T/2)) for m.
             See, e.g., arXiv:1205.5380
+            arccosh : Uses the explicit form of the symmetrized correlator (not recommended)
         guess : float
             guess for the root finder, only relevant for the root variant
         """

pyerrors/obs.py

@@ -333,10 +333,6 @@ class Obs:
 
         return gamma
 
-    def print(self, level=1):
-        warnings.warn("Method 'print' renamed to 'details'", DeprecationWarning)
-        self.details(level > 1)
-
     def details(self, ens_content=True):
         """Output detailed properties of the Obs.
 
@@ -370,6 +366,10 @@ class Obs:
             m = max(map(len, list(self.e_content.keys()))) + 1
             print('\n'.join(['  ' + key.rjust(m) + ': ' + str(value) for key, value in sorted(self.e_content.items())]))
 
+    def print(self, level=1):
+        warnings.warn("Method 'print' renamed to 'details'", DeprecationWarning)
+        self.details(level > 1)
+
     def is_zero_within_error(self, sigma=1):
         """Checks whether the observable is zero within 'sigma' standard errors.