diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 5487dc19338da..b3dc61bc01bd9 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -179,7 +179,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.io.stata.StataWriter.write_file SA01" \
         -i "pandas.json_normalize RT03,SA01" \
         -i "pandas.plotting.andrews_curves RT03,SA01" \
-        -i "pandas.plotting.lag_plot RT03,SA01" \
         -i "pandas.plotting.scatter_matrix PR07,SA01" \
         -i "pandas.set_eng_float_format RT03,SA01" \
         -i "pandas.tseries.offsets.BDay PR02,SA01" \
diff --git a/pandas/plotting/_misc.py b/pandas/plotting/_misc.py
index 03701f8778065..81940613dd2b0 100644
--- a/pandas/plotting/_misc.py
+++ b/pandas/plotting/_misc.py
@@ -549,6 +549,10 @@ def lag_plot(series: Series, lag: int = 1, ax: Axes | None = None, **kwds) -> Ax
     """
     Lag plot for time series.
 
+    A lag plot is a scatter plot of a time series against a lag of itself. It helps
+    in visualizing the temporal dependence between observations by plotting the values
+    at time `t` on the x-axis and the values at time `t + lag` on the y-axis.
+
     Parameters
     ----------
     series : Series
@@ -563,6 +567,13 @@ def lag_plot(series: Series, lag: int = 1, ax: Axes | None = None, **kwds) -> Ax
     Returns
     -------
     matplotlib.axes.Axes
+        The matplotlib Axes object containing the lag plot.
+
+    See Also
+    --------
+    plotting.autocorrelation_plot : Autocorrelation plot for time series.
+    matplotlib.pyplot.scatter : A scatter plot of y vs. x with varying marker size
+        and/or color in Matplotlib.
 
     Examples
     --------