diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index e153fdaac16e2..b0909e23b44c5 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -8020,6 +8020,35 @@ def idxmin(self, axis=0, skipna=True) -> Series:
         Notes
         -----
         This method is the DataFrame version of ``ndarray.argmin``.
+
+        Examples
+        --------
+        Consider a dataset containing food consumption in Argentina.
+
+        >>> df = pd.DataFrame({'consumption': [10.51, 103.11, 55.48],
+        ...                    'co2_emissions': [37.2, 19.66, 1712]},
+        ...                    index=['Pork', 'Wheat Products', 'Beef'])
+
+        >>> df
+                        consumption  co2_emissions
+        Pork                  10.51         37.20
+        Wheat Products       103.11         19.66
+        Beef                  55.48       1712.00
+
+        By default, it returns the index for the minimum value in each column.
+
+        >>> df.idxmin()
+        consumption                Pork
+        co2_emissions    Wheat Products
+        dtype: object
+
+        To return the index for the minimum value in each row, use ``axis="columns"``.
+
+        >>> df.idxmin(axis="columns")
+        Pork                consumption
+        Wheat Products    co2_emissions
+        Beef                consumption
+        dtype: object
         """
         axis = self._get_axis_number(axis)
         indices = nanops.nanargmin(self.values, axis=axis, skipna=skipna)