Merge remote-tracking branch 'upstream/main' into pandas.errors.MergeError

Author: tuhinsharma121

ci/code_checks.sh

@@ -105,7 +105,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timedelta.min PR02" \
         -i "pandas.Timedelta.resolution PR02" \
         -i "pandas.Timedelta.to_timedelta64 SA01" \
-        -i "pandas.Timedelta.total_seconds SA01" \
         -i "pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
         -i "pandas.Timestamp.max PR02" \
         -i "pandas.Timestamp.min PR02" \
@@ -114,14 +113,12 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timestamp.tzinfo GL08" \
         -i "pandas.Timestamp.year GL08" \
         -i "pandas.api.types.is_dict_like PR07,SA01" \
-        -i "pandas.api.types.is_extension_array_dtype SA01" \
         -i "pandas.api.types.is_file_like PR07,SA01" \
         -i "pandas.api.types.is_float PR01,SA01" \
         -i "pandas.api.types.is_float_dtype SA01" \
         -i "pandas.api.types.is_hashable PR01,RT03,SA01" \
         -i "pandas.api.types.is_int64_dtype SA01" \
         -i "pandas.api.types.is_integer PR01,SA01" \
-        -i "pandas.api.types.is_integer_dtype SA01" \
         -i "pandas.api.types.is_interval_dtype SA01" \
         -i "pandas.api.types.is_iterator PR07,SA01" \
         -i "pandas.api.types.is_list_like SA01" \
@@ -133,7 +130,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.arrays.ArrowExtensionArray PR07,SA01" \
         -i "pandas.arrays.BooleanArray SA01" \
         -i "pandas.arrays.DatetimeArray SA01" \
-        -i "pandas.arrays.FloatingArray SA01" \
         -i "pandas.arrays.IntegerArray SA01" \
         -i "pandas.arrays.IntervalArray.left SA01" \
         -i "pandas.arrays.IntervalArray.length SA01" \

pandas/_libs/tslibs/nattype.pyx

@@ -493,6 +493,14 @@ class NaTType(_NaT):
         """
         Total seconds in the duration.
 
+        This method calculates the total duration in seconds by combining
+        the days, seconds, and microseconds of the `Timedelta` object.
+
+        See Also
+        --------
+        to_timedelta : Convert argument to timedelta.
+        Timedelta : Represents a duration, the difference between two dates or times.
+
         Examples
         --------
         >>> td = pd.Timedelta('1min')

pandas/_libs/tslibs/timedeltas.pyx

@@ -1189,6 +1189,14 @@ cdef class _Timedelta(timedelta):
         """
         Total seconds in the duration.
 
+        This method calculates the total duration in seconds by combining
+        the days, seconds, and microseconds of the `Timedelta` object.
+
+        See Also
+        --------
+        to_timedelta : Convert argument to timedelta.
+        Timedelta : Represents a duration, the difference between two dates or times.
+
         Examples
         --------
         >>> td = pd.Timedelta('1min')

pandas/core/arrays/floating.py

@@ -96,6 +96,14 @@ class FloatingArray(NumericArray):
     -------
     FloatingArray
 
+    See Also
+    --------
+    array : Create an array.
+    Float32Dtype : Float32 dtype for FloatingArray.
+    Float64Dtype : Float64 dtype for FloatingArray.
+    Series : One-dimensional labeled array capable of holding data.
+    DataFrame : Two-dimensional, size-mutable, potentially heterogeneous tabular data.
+
     Examples
     --------
     Create an FloatingArray with :func:`pandas.array`:

pandas/core/dtypes/common.py

@@ -694,6 +694,15 @@ def is_integer_dtype(arr_or_dtype) -> bool:
         Whether or not the array or dtype is of an integer dtype and
         not an instance of timedelta64.
 
+    See Also
+    --------
+    api.types.is_integer : Return True if given object is integer.
+    api.types.is_numeric_dtype : Check whether the provided array or dtype is of a
+        numeric dtype.
+    api.types.is_float_dtype : Check whether the provided array or dtype is of a
+        float dtype.
+    Int64Dtype : An ExtensionDtype for Int64Dtype integer data.
+
     Examples
     --------
     >>> from pandas.api.types import is_integer_dtype
@@ -1401,6 +1410,10 @@ def is_extension_array_dtype(arr_or_dtype) -> bool:
     bool
         Whether the `arr_or_dtype` is an extension array type.
 
+    See Also
+    --------
+    api.extensions.ExtensionArray : Abstract base class for pandas extension arrays.
+
     Notes
     -----
     This checks whether an object implements the pandas extension

web/pandas/config.yml

@@ -89,7 +89,6 @@ maintainers:
   - phofl
   - attack68
   - fangchenli
-  - twoertwein
   - lithomas1
   - lukemanley
   - noatamir
@@ -108,6 +107,7 @@ maintainers:
   - wesm
   - gfyoung
   - mzeitlin11
+  - twoertwein
 workgroups:
   coc:
     name: Code of Conduct