Clarify text

Author: gjbex

source-code/pandas/pipes.ipynb

@@ -82,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 4,
    "id": "81c6819c-412f-4787-8e44-cef39b035ca4",
    "metadata": {},
    "outputs": [],
@@ -101,7 +101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 5,
    "id": "4c6e3606-cb4f-48a5-808f-1d4d65649ce1",
    "metadata": {},
    "outputs": [],
@@ -115,12 +115,12 @@
    "id": "6e63b2af-4d79-49e6-9f93-bbd6966a60a6",
    "metadata": {},
    "source": [
-    "Finally, we compute the mean value of the temperatures across all patients for each time step."
+    "Finally, we compute the mean value of the temperatures across all patients for each time step.  Note that the name of the column is a parameter."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 6,
    "id": "1702df3c-65b1-45dd-8280-c87e300ac9a6",
    "metadata": {},
    "outputs": [],
@@ -140,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "id": "6609a625-c8ed-4695-8bd4-74d9cd7af05b",
    "metadata": {},
    "outputs": [],
@@ -152,7 +152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "id": "3f6beb98-9d04-4d87-84f1-a7db0bbcd46c",
    "metadata": {},
    "outputs": [
@@ -193,11 +193,47 @@
     "time_series.info()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "0dced61d-d65a-4e5b-9698-545d742d384a",
+   "metadata": {},
+   "source": [
+    "The original dataframe is unchanged."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "42e86dc9-5dea-4472-8241-159200c55dac",
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 62 entries, 0 to 61\n",
+      "Data columns (total 4 columns):\n",
+      " #   Column       Non-Null Count  Dtype         \n",
+      "---  ------       --------------  -----         \n",
+      " 0   patient      62 non-null     int64         \n",
+      " 1   dose         61 non-null     float64       \n",
+      " 2   date         62 non-null     datetime64[ns]\n",
+      " 3   temperature  61 non-null     float64       \n",
+      "dtypes: datetime64[ns](1), float64(2), int64(1)\n",
+      "memory usage: 2.1 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "data.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "77ff0a74-c286-412f-8ea9-6df113efd4fe",
+   "metadata": {},
    "outputs": [],
    "source": []
   }