DOC: PR08 doctring validation

ci/code_checks.sh

@@ -93,8 +93,8 @@ fi
 ### DOCSTRINGS ###
 if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
 
-    MSG='Validate docstrings (GL01, GL02, GL03, GL04, GL05, GL06, GL07, GL09, GL10, SS01, SS02, SS03, SS04, SS05, PR03, PR04, PR05, PRO9, PR10, EX04, RT01, RT04, RT05, SA02, SA03)' ; echo $MSG
-    $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=GL01,GL02,GL03,GL04,GL05,GL06,GL07,GL09,GL10,SS02,SS03,SS04,SS05,PR03,PR04,PR05,PR09,PR10,EX04,RT01,RT04,RT05,SA02,SA03
+    MSG='Validate docstrings (GL01, GL02, GL03, GL04, GL05, GL06, GL07, GL09, GL10, SS01, SS02, SS03, SS04, SS05, PR03, PR04, PR05, PR08, PRO9, PR10, EX04, RT01, RT04, RT05, SA02, SA03)' ; echo $MSG
+    $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=GL01,GL02,GL03,GL04,GL05,GL06,GL07,GL09,GL10,SS02,SS03,SS04,SS05,PR03,PR04,PR05,PR08,PR09,PR10,EX04,RT01,RT04,RT05,SA02,SA03
     RET=$(($RET + $?)) ; echo $MSG "DONE"
 
 fi

pandas/core/generic.py

@@ -5311,10 +5311,9 @@ def sample(
             If weights do not sum to 1, they will be normalized to sum to 1.
             Missing values in the weights column will be treated as zero.
             Infinite values not allowed.
-        random_state : int, array-like, BitGenerator, np.random.RandomState,
-            np.random.Generator, optional. If int, array-like, or BitGenerator, seed for
-            random number generator. If np.random.RandomState or np.random.Generator,
-            use as given.
+        random_state : int, array-like, BitGenerator, np.random.RandomState, np.random.Generator, optional
+            If int, array-like, or BitGenerator, seed for random number generator.
+            If np.random.RandomState or np.random.Generator, use as given.
 
             .. versionchanged:: 1.1.0
 
@@ -5403,7 +5402,7 @@ def sample(
                 num_legs  num_wings  num_specimen_seen
         falcon         2          2                 10
         fish           0          0                  8
-        """
+        """  # noqa:E501
         if axis is None:
             axis = self._stat_axis_number
 
@@ -7906,11 +7905,10 @@ def resample(
         level : str or int, optional
             For a MultiIndex, level (name or number) to use for
             resampling. `level` must be datetime-like.
-        origin : {{'epoch', 'start', 'start_day', 'end', 'end_day'}}, Timestamp
-            or str, default 'start_day'
+        origin : Timestamp or str, default 'start_day'
             The timestamp on which to adjust the grouping. The timezone of origin
             must match the timezone of the index.
-            If a timestamp is not used, these values are also supported:
+            If string, must be one of the following:
 
             - 'epoch': `origin` is 1970-01-01
             - 'start': `origin` is the first value of the timeseries

pandas/core/groupby/groupby.py

@@ -3587,10 +3587,9 @@ def sample(
             sampling probabilities after normalization within each group.
             Values must be non-negative with at least one positive element
             within each group.
-        random_state : int, array-like, BitGenerator, np.random.RandomState,
-            np.random.Generator, optional. If int, array-like, or BitGenerator, seed for
-            random number generator. If np.random.RandomState or np.random.Generator,
-            use as given.
+        random_state : int, array-like, BitGenerator, np.random.RandomState, np.random.Generator, optional
+            If int, array-like, or BitGenerator, seed for random number generator.
+            If np.random.RandomState or np.random.Generator, use as given.
 
             .. versionchanged:: 1.4.0
 
@@ -3650,7 +3649,7 @@ def sample(
         5  black  5
         2   blue  2
         0    red  0
-        """
+        """  # noqa:E501
         size = sample.process_sampling_size(n, frac, replace)
         if weights is not None:
             weights_arr = sample.preprocess_weights(

pandas/core/groupby/grouper.py

@@ -106,11 +106,10 @@ class Grouper:
             However, loffset is also deprecated for ``.resample(...)``
             See: :class:`DataFrame.resample`
 
-    origin : {{'epoch', 'start', 'start_day', 'end', 'end_day'}}, Timestamp
-        or str, default 'start_day'
+    origin : Timestamp or str, default 'start_day'
         The timestamp on which to adjust the grouping. The timezone of origin must
         match the timezone of the index.
-        If a timestamp is not used, these values are also supported:
+        If string, must be one of the following:
 
         - 'epoch': `origin` is 1970-01-01
         - 'start': `origin` is the first value of the timeseries

pandas/core/strings/accessor.py

@@ -1977,7 +1977,7 @@ def rstrip(self, to_strip=None):
     Parameters
     ----------
     %(side)s : str
-        %(side)s to remove.
+        Remove the %(side)s of the string.
 
     Returns
     -------