DOC: Updated resample.py and groupby.py to fix SA04 Errors

pandas-dev · Oct 18, 2020 · 6bffc95 · 6bffc95
1 parent 75a5fa7
commit 6bffc95
Show file tree

Hide file tree

Showing 2 changed files with 15 additions and 12 deletions.
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
@@ -79,8 +79,8 @@ class providing the base-class of operations.
 _common_see_also = """
         See Also
         --------
-        Series.%(name)s
-        DataFrame.%(name)s
+        Series.%(name)s : Apply a function %(name)s to a Series.
+        DataFrame.%(name)s : Apply a function %(name)s to each row or column of a DataFrame.
 """
 
 _apply_docs = dict(

diff --git a/pandas/core/resample.py b/pandas/core/resample.py
@@ -131,7 +131,7 @@ def __iter__(self):
 
         See Also
         --------
-        GroupBy.__iter__
+        GroupBy.__iter__ : Generator yielding sequence of (name, subset object) for each group
         """
         self._set_binner()
         return super().__iter__()
@@ -235,9 +235,9 @@ def pipe(self, func, *args, **kwargs):
         """
     See Also
     --------
-    DataFrame.groupby.aggregate
-    DataFrame.resample.transform
-    DataFrame.aggregate
+    DataFrame.groupby.aggregate : Aggregate using callable, string, dict, or list of string/callables
+    DataFrame.resample.transform : Transforms the Series on each group based on the given function.
+    DataFrame.aggregate: Aggregate using one or more operations over the specified axis.
     """
     )
 
@@ -453,8 +453,8 @@ def pad(self, limit=None):
 
         See Also
         --------
-        Series.fillna
-        DataFrame.fillna
+        Series.fillna: Fill NA/NaN values using the specified method.
+        DataFrame.fillna: Fill NA/NaN values using the specified method.
         """
         return self._upsample("pad", limit=limit)
 
@@ -828,8 +828,8 @@ def asfreq(self, fill_value=None):
 
         See Also
         --------
-        Series.asfreq
-        DataFrame.asfreq
+        Series.asfreq: Convert TimeSeries to specified frequency.
+        DataFrame.asfreq: Convert TimeSeries to specified frequency.
         """
         return self._upsample("asfreq", fill_value=fill_value)
 
@@ -915,8 +915,11 @@ def quantile(self, q=0.5, **kwargs):
         See Also
         --------
         Series.quantile
+            Return a series, where the index is q and the values are the quantiles
         DataFrame.quantile
+            Return a DataFrame, where the columns are the columns of self, and the values are the quantiles.
         DataFrameGroupBy.quantile
+            Return a DataFrame, where the coulmns are groupby columns, and the values are its quantiles.
         """
         return self._downsample("quantile", q=q, **kwargs)
 
@@ -1072,7 +1075,7 @@ def _upsample(self, method, limit=None, fill_value=None):
 
         See Also
         --------
-        .fillna
+        .fillna: Fill NA/NaN values using the specified method.
 
         """
         self._set_binner()
@@ -1208,7 +1211,7 @@ def _upsample(self, method, limit=None, fill_value=None):
 
         See Also
         --------
-        .fillna
+        .fillna: Fill NA/NaN values using the specified method.
 
         """
         # we may need to actually resample as if we are timestamps