[DOC] Update Pylibcudf doc strings (#16810)

This PR is a first pass at #15937. We will close #15937 after #15162 is closed

Authors:
  - Matthew Murray (https://github.com/Matt711)

Approvers:
  - GALI PREM SAGAR (https://github.com/galipremsagar)

URL: #16810

python/pylibcudf/pylibcudf/binaryop.pyx

@@ -94,7 +94,7 @@ cpdef bool is_supported_operation(
 ):
     """Check if an operation is supported for the given data types.
 
-    For details, see :cpp:func::is_supported_operation`.
+    For details, see :cpp:func::`is_supported_operation`.
 
     Parameters
     ----------

python/pylibcudf/pylibcudf/column_factories.pyx

@@ -18,6 +18,20 @@ from .types import MaskState, TypeId
 
 
 cpdef Column make_empty_column(MakeEmptyColumnOperand type_or_id):
+    """Creates an empty column of the specified type.
+
+    For details, see :cpp:func::`make_empty_column`.
+
+    Parameters
+    ----------
+    type_or_id : Union[DataType, type_id, object]
+        The column data type.
+
+    Returns
+    -------
+    Column
+        An empty Column
+    """
     cdef unique_ptr[column] result
     cdef type_id id
 
@@ -60,7 +74,11 @@ cpdef Column make_numeric_column(
     size_type size,
     MaskArg mstate
 ):
+    """Creates an empty numeric column.
+
+    For details, see :cpp:func::`make_numeric_column`.
 
+    """
     cdef unique_ptr[column] result
     cdef mask_state state
 

python/pylibcudf/pylibcudf/groupby.pyx

@@ -286,7 +286,7 @@ cdef class GroupBy:
 
         Returns
         -------
-        Tuple[List[int], Table, Table]]
+        Tuple[List[int], Table, Table]
             A tuple of tables containing three items:
                 - A list of integer offsets into the group keys/values
                 - A table of group keys

python/pylibcudf/pylibcudf/io/avro.pyx

@@ -20,6 +20,8 @@ cpdef TableWithMetadata read_avro(
     """
     Reads an Avro dataset into a :py:class:`~.types.TableWithMetadata`.
 
+    For details, see :cpp:func:`read_avro`.
+
     Parameters
     ----------
     source_info: SourceInfo

python/pylibcudf/pylibcudf/io/parquet.pyx

@@ -59,6 +59,8 @@ cdef class ChunkedParquetReader:
     """
     Reads chunks of a Parquet file into a :py:class:`~.types.TableWithMetadata`.
 
+    For details, see :cpp:class:`chunked_parquet_reader`.
+
     Parameters
     ----------
     source_info : SourceInfo
@@ -167,6 +169,8 @@ cpdef read_parquet(
 ):
     """Reads an Parquet file into a :py:class:`~.types.TableWithMetadata`.
 
+    For details, see :cpp:func:`read_parquet`.
+
     Parameters
     ----------
     source_info : SourceInfo

python/pylibcudf/pylibcudf/labeling.pyx

@@ -20,6 +20,8 @@ cpdef Column label_bins(
 ):
     """Labels elements based on membership in the specified bins.
 
+    For details see :cpp:func:`label_bins`.
+
     Parameters
     ----------
     input : Column

python/pylibcudf/pylibcudf/lists.pyx

@@ -52,6 +52,8 @@ cpdef Table explode_outer(Table input, size_type explode_column_idx):
 
     All other columns will be duplicated for each element in the list.
 
+    For details, see :cpp:func:`explode_outer`.
+
     Parameters
     ----------
     input : Table
@@ -75,6 +77,8 @@ cpdef Table explode_outer(Table input, size_type explode_column_idx):
 cpdef Column concatenate_rows(Table input):
     """Concatenate multiple lists columns into a single lists column row-wise.
 
+    For details, see :cpp:func:`concatenate_list_elements`.
+
     Parameters
     ----------
     input : Table
@@ -96,6 +100,8 @@ cpdef Column concatenate_rows(Table input):
 cpdef Column concatenate_list_elements(Column input, bool dropna):
     """Concatenate multiple lists on the same row into a single list.
 
+    For details, see :cpp:func:`concatenate_list_elements`.
+
     Parameters
     ----------
     input : Column
@@ -168,6 +174,8 @@ cpdef Column contains_nulls(Column input):
     """Create a column of bool values indicating whether
     each row in the lists column contains a null value.
 
+    For details, see :cpp:func:`contains_nulls`.
+
     Parameters
     ----------
     input : Column
@@ -290,6 +298,8 @@ cpdef Column segmented_gather(Column input, Column gather_map_list):
 cpdef Column extract_list_element(Column input, ColumnOrSizeType index):
     """Create a column of extracted list elements.
 
+    For details, see :cpp:func:`extract_list_element`.
+
     Parameters
     ----------
     input : Column
@@ -318,6 +328,8 @@ cpdef Column count_elements(Column input):
     list element in the given lists column.
     For details, see :cpp:func:`count_elements`.
 
+    For details, see :cpp:func:`count_elements`.
+
     Parameters
     ----------
     input : Column

python/pylibcudf/pylibcudf/merge.pyx

@@ -19,6 +19,8 @@ cpdef Table merge (
 ):
     """Merge a set of sorted tables.
 
+    For details see :cpp:func:`merge`.
+
     Parameters
     ----------
     tables_to_merge : list

python/pylibcudf/pylibcudf/quantiles.pyx

@@ -30,6 +30,8 @@ cpdef Column quantile(
     Computes the specified quantiles by interpolating values between which they lie,
     using the interpolation strategy specified in interp.
 
+    For details see :cpp:func:`quantile`.
+
     Parameters
     ----------
     input: Column
@@ -91,6 +93,8 @@ cpdef Table quantiles(
     specified quantiles. In the event a quantile lies in between rows, the specified
     interpolation strategy is used to pick between the rows.
 
+    For details see :cpp:func:`quantiles`.
+
     Parameters
     ----------
     input: Table

python/pylibcudf/pylibcudf/reshape.pyx

@@ -23,6 +23,8 @@ cpdef Column interleave_columns(Table source_table):
     in     = [[A1, A2, A3], [B1, B2, B3]]
     return = [A1, B1, A2, B2, A3, B3]
 
+    For details, see :cpp:func:`interleave_columns`.
+
     Parameters
     ----------
     source_table: Table
@@ -44,6 +46,8 @@ cpdef Column interleave_columns(Table source_table):
 cpdef Table tile(Table source_table, size_type count):
     """Repeats the rows from input table count times to form a new table.
 
+    For details, see :cpp:func:`tile`.
+
     Parameters
     ----------
     source_table: Table

python/pylibcudf/pylibcudf/search.pyx

@@ -19,6 +19,8 @@ cpdef Column lower_bound(
 ):
     """Find smallest indices in haystack where needles may be inserted to retain order.
 
+    For details, see :cpp:func:`lower_bound`.
+
     Parameters
     ----------
     haystack : Table
@@ -58,6 +60,8 @@ cpdef Column upper_bound(
 ):
     """Find largest indices in haystack where needles may be inserted to retain order.
 
+    For details, see :cpp:func:`upper_bound`.
+
     Parameters
     ----------
     haystack : Table
@@ -92,6 +96,8 @@ cpdef Column upper_bound(
 cpdef Column contains(Column haystack, Column needles):
     """Check whether needles are present in haystack.
 
+    For details, see :cpp:func:`contains`.
+
     Parameters
     ----------
     haystack : Table

python/pylibcudf/pylibcudf/sorting.pyx

@@ -16,6 +16,8 @@ from .table cimport Table
 cpdef Column sorted_order(Table source_table, list column_order, list null_precedence):
     """Computes the row indices required to sort the table.
 
+    For details, see :cpp:func:`sorted_order`.
+
     Parameters
     ----------
     source_table : Table
@@ -52,6 +54,8 @@ cpdef Column stable_sorted_order(
     """Computes the row indices required to sort the table,
     preserving order of equal elements.
 
+    For details, see :cpp:func:`stable_sorted_order`.
+
     Parameters
     ----------
     source_table : Table
@@ -90,6 +94,8 @@ cpdef Column rank(
 ):
     """Computes the rank of each element in the column.
 
+    For details, see :cpp:func:`rank`.
+
     Parameters
     ----------
     input_view : Column
@@ -128,6 +134,8 @@ cpdef Column rank(
 cpdef bool is_sorted(Table tbl, list column_order, list null_precedence):
     """Checks if the table is sorted.
 
+    For details, see :cpp:func:`is_sorted`.
+
     Parameters
     ----------
     tbl : Table
@@ -165,6 +173,8 @@ cpdef Table segmented_sort_by_key(
 ):
     """Sorts the table by key, within segments.
 
+    For details, see :cpp:func:`segmented_sort_by_key`.
+
     Parameters
     ----------
     values : Table
@@ -209,6 +219,8 @@ cpdef Table stable_segmented_sort_by_key(
     """Sorts the table by key preserving order of equal elements,
     within segments.
 
+    For details, see :cpp:func:`stable_segmented_sort_by_key`.
+
     Parameters
     ----------
     values : Table
@@ -251,6 +263,8 @@ cpdef Table sort_by_key(
 ):
     """Sorts the table by key.
 
+    For details, see :cpp:func:`sort_by_key`.
+
     Parameters
     ----------
     values : Table
@@ -290,6 +304,8 @@ cpdef Table stable_sort_by_key(
 ):
     """Sorts the table by key preserving order of equal elements.
 
+    For details, see :cpp:func:`stable_sort_by_key`.
+
     Parameters
     ----------
     values : Table
@@ -324,6 +340,8 @@ cpdef Table stable_sort_by_key(
 cpdef Table sort(Table source_table, list column_order, list null_precedence):
     """Sorts the table.
 
+    For details, see :cpp:func:`sort`.
+
     Parameters
     ----------
     source_table : Table
@@ -355,6 +373,8 @@ cpdef Table sort(Table source_table, list column_order, list null_precedence):
 cpdef Table stable_sort(Table source_table, list column_order, list null_precedence):
     """Sorts the table preserving order of equal elements.
 
+    For details, see :cpp:func:`stable_sort`.
+
     Parameters
     ----------
     source_table : Table

python/pylibcudf/pylibcudf/stream_compaction.pyx

@@ -25,6 +25,8 @@ from .table cimport Table
 cpdef Table drop_nulls(Table source_table, list keys, size_type keep_threshold):
     """Filters out rows from the input table based on the presence of nulls.
 
+    For details, see :cpp:func:`drop_nulls`.
+
     Parameters
     ----------
     source_table : Table
@@ -53,6 +55,8 @@ cpdef Table drop_nulls(Table source_table, list keys, size_type keep_threshold):
 cpdef Table drop_nans(Table source_table, list keys, size_type keep_threshold):
     """Filters out rows from the input table based on the presence of NaNs.
 
+    For details, see :cpp:func:`drop_nans`.
+
     Parameters
     ----------
     source_table : Table
@@ -81,6 +85,8 @@ cpdef Table drop_nans(Table source_table, list keys, size_type keep_threshold):
 cpdef Table apply_boolean_mask(Table source_table, Column boolean_mask):
     """Filters out rows from the input table based on a boolean mask.
 
+    For details, see :cpp:func:`apply_boolean_mask`.
+
     Parameters
     ----------
     source_table : Table
@@ -111,6 +117,8 @@ cpdef Table unique(
 ):
     """Filter duplicate consecutive rows from the input table.
 
+    For details, see :cpp:func:`unique`.
+
     Parameters
     ----------
     input : Table
@@ -153,6 +161,8 @@ cpdef Table distinct(
 ):
     """Get the distinct rows from the input table.
 
+    For details, see :cpp:func:`distinct`.
+
     Parameters
     ----------
     input : Table
@@ -191,6 +201,8 @@ cpdef Column distinct_indices(
 ):
     """Get the indices of the distinct rows from the input table.
 
+    For details, see :cpp:func:`distinct_indices`.
+
     Parameters
     ----------
     input : Table
@@ -226,6 +238,8 @@ cpdef Table stable_distinct(
 ):
     """Get the distinct rows from the input table, preserving input order.
 
+    For details, see :cpp:func:`stable_distinct`.
+
     Parameters
     ----------
     input : Table
@@ -263,6 +277,8 @@ cpdef size_type unique_count(
 ):
     """Returns the number of unique consecutive elements in the input column.
 
+    For details, see :cpp:func:`unique_count`.
+
     Parameters
     ----------
     source : Column
@@ -294,6 +310,8 @@ cpdef size_type distinct_count(
 ):
     """Returns the number of distinct elements in the input column.
 
+    For details, see :cpp:func:`distinct_count`.
+
     Parameters
     ----------
     source : Column

python/pylibcudf/pylibcudf/strings/findall.pyx

@@ -13,7 +13,7 @@ cpdef Column findall(Column input, RegexProgram pattern):
     Returns a lists column of strings for each matching occurrence using
     the regex_program pattern within each string.
 
-    For details, see For details, see :cpp:func:`cudf::strings::findall`.
+    For details, see :cpp:func:`cudf::strings::findall`.
 
     Parameters
     ----------