From 2acaea4403751cebdfbcf4b0b92a6143b49cc0f3 Mon Sep 17 00:00:00 2001
From: Tuhin Sharma <tuhinsharma121@gmail.com>
Date: Sun, 6 Oct 2024 09:52:18 +0530
Subject: [PATCH] DOC: fix PR07,SA01,ES01 for pandas.Series.sparse.from_coo

---
 ci/code_checks.sh                     |  1 -
 pandas/core/arrays/sparse/accessor.py | 14 ++++++++++++++
 2 files changed, 14 insertions(+), 1 deletion(-)

diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 16a3a22bc4876..c93dbf511aec0 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -96,7 +96,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.dt.tz_localize PR01,PR02" \
         -i "pandas.Series.dt.unit GL08" \
         -i "pandas.Series.pad PR01,SA01" \
-        -i "pandas.Series.sparse.from_coo PR07,SA01" \
         -i "pandas.Timedelta.max PR02" \
         -i "pandas.Timedelta.min PR02" \
         -i "pandas.Timedelta.resolution PR02" \
diff --git a/pandas/core/arrays/sparse/accessor.py b/pandas/core/arrays/sparse/accessor.py
index 8083371ed171a..0ed5f69fe4703 100644
--- a/pandas/core/arrays/sparse/accessor.py
+++ b/pandas/core/arrays/sparse/accessor.py
@@ -88,9 +88,17 @@ def from_coo(cls, A, dense_index: bool = False) -> Series:
         """
         Create a Series with sparse values from a scipy.sparse.coo_matrix.
 
+        This method takes a ``scipy.sparse.coo_matrix`` (coordinate format) as input and
+        returns a pandas ``Series`` where the non-zero elements are represented as
+        sparse values. The index of the Series can either include only the coordinates
+        of non-zero elements (default behavior) or the full sorted set of coordinates
+        from the matrix if ``dense_index`` is set to `True`.
+
         Parameters
         ----------
         A : scipy.sparse.coo_matrix
+            The sparse matrix in coordinate format from which the sparse Series
+            will be created.
         dense_index : bool, default False
             If False (default), the index consists of only the
             coords of the non-null entries of the original coo_matrix.
@@ -102,6 +110,12 @@ def from_coo(cls, A, dense_index: bool = False) -> Series:
         s : Series
             A Series with sparse values.
 
+        See Also
+        --------
+        DataFrame.sparse.from_spmatrix : Create a new DataFrame from a scipy sparse
+            matrix.
+        scipy.sparse.coo_matrix : A sparse matrix in COOrdinate format.
+
         Examples
         --------
         >>> from scipy import sparse