diff --git a/docs/user-guide/advanced/Pandas_API.ipynb b/docs/user-guide/advanced/Pandas_API.ipynb
index a751d4a..c35d64b 100644
--- a/docs/user-guide/advanced/Pandas_API.ipynb
+++ b/docs/user-guide/advanced/Pandas_API.ipynb
@@ -1884,19 +1884,19 @@
    "id": "d98b298c",
    "metadata": {},
    "source": [
-    "### Table.idxmin()\n",
+    "### Table.min()\n",
     "\n",
     "```\n",
-    "Table.idxmax(axis=0, skipna=True, numeric_only=False)\n",
+    "Table.min(axis=0, skipna=True, numeric_only=False)\n",
     "```\n",
     "\n",
-    "Return index of first occurrence of minimum over requested axis.\n",
+    "Returns the minimum value across the given axis.\n",
     "\n",
     "**Parameters:**\n",
     "\n",
     "| Name         | Type | Description                                                                      | Default |\n",
     "| :----------: | :--: | :------------------------------------------------------------------------------- | :-----: |\n",
-    "| axis         | int  | The axis to calculate the idxmin across 0 is columns, 1 is rows.                | 0       |\n",
+    "| axis         | int  | The axis to calculate the minimum across 0 is columns, 1 is rows.                | 0       |\n",
     "| skipna       | bool | Ignore any null values along the axis.                                           | True    |\n",
     "| numeric_only | bool | Only use columns of the table that are of a numeric data type.                   | False   |\n",
     "\n",
@@ -1904,50 +1904,22 @@
     "\n",
     "| Type               | Description                                                          |\n",
     "| :----------------: | :------------------------------------------------------------------- |\n",
-    "| Dictionary         | A dictionary where the key represents the column name / row number and the values are the result of calling `idxmin` on that column / row. |"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "143f5483",
-   "metadata": {},
-   "source": [
-    "**Examples:**\n",
-    "\n",
-    "Calculate the idxmin across the columns of a table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "da7cbf8f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tab.idxmin()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fb531e00",
-   "metadata": {},
-   "source": [
-    "Calculate the idxmin across the rows of a table using only columns thar are of a numeric data type"
+    "| Dictionary         | A dictionary where the key represents the column name / row number and the values are the result of calling `min` on that column / row. |"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9907226a",
+   "id": "9f13e8a7",
    "metadata": {},
    "outputs": [],
    "source": [
-    "tab.idxmin(axis=1, numeric_only=True)"
+    "tab.min()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "d98b298c",
+   "id": "b52627d2",
    "metadata": {},
    "source": [
     "### Table.idxmax()\n",
@@ -1975,7 +1947,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "143f5483",
+   "id": "838a07dd",
    "metadata": {},
    "source": [
     "**Examples:**\n",
@@ -1986,7 +1958,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "da7cbf8f",
+   "id": "6c6d3384",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1995,7 +1967,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fb531e00",
+   "id": "30738846",
    "metadata": {},
    "source": [
     "Calculate the idxmax across the rows of a table using only columns thar are of a numeric data type"
@@ -2004,7 +1976,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9907226a",
+   "id": "edf9e128",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2013,22 +1985,22 @@
   },
   {
    "cell_type": "markdown",
-   "id": "301ab2c2",
+   "id": "fdb4114c-640a-41ac-a4e7-6c236e9d93ea",
    "metadata": {},
    "source": [
-    "### Table.min()\n",
+    "### Table.idxmin()\n",
     "\n",
     "```\n",
-    "Table.min(axis=0, skipna=True, numeric_only=False)\n",
+    "Table.idxmax(axis=0, skipna=True, numeric_only=False)\n",
     "```\n",
     "\n",
-    "Returns the minimum value across the given axis.\n",
+    "Return index of first occurrence of minimum over requested axis.\n",
     "\n",
     "**Parameters:**\n",
     "\n",
     "| Name         | Type | Description                                                                      | Default |\n",
     "| :----------: | :--: | :------------------------------------------------------------------------------- | :-----: |\n",
-    "| axis         | int  | The axis to calculate the minimum across 0 is columns, 1 is rows.                | 0       |\n",
+    "| axis         | int  | The axis to calculate the idxmin across 0 is columns, 1 is rows.                | 0       |\n",
     "| skipna       | bool | Ignore any null values along the axis.                                           | True    |\n",
     "| numeric_only | bool | Only use columns of the table that are of a numeric data type.                   | False   |\n",
     "\n",
@@ -2036,17 +2008,45 @@
     "\n",
     "| Type               | Description                                                          |\n",
     "| :----------------: | :------------------------------------------------------------------- |\n",
-    "| Dictionary         | A dictionary where the key represents the column name / row number and the values are the result of calling `min` on that column / row. |"
+    "| Dictionary         | A dictionary where the key represents the column name / row number and the values are the result of calling `idxmin` on that column / row. |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57053c36-932e-4805-916c-4cd5e3d33e82",
+   "metadata": {},
+   "source": [
+    "**Examples:**\n",
+    "\n",
+    "Calculate the idxmin across the columns of a table"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9f13e8a7",
+   "id": "da7cbf8f",
    "metadata": {},
    "outputs": [],
    "source": [
-    "tab.min()"
+    "tab.idxmin()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb531e00",
+   "metadata": {},
+   "source": [
+    "Calculate the idxmin across the rows of a table using only columns thar are of a numeric data type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9907226a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tab.idxmin(axis=1, numeric_only=True)"
    ]
   },
   {