pandas-intro: fix MNL example

convert column date_game to type datetime before querying min and max

Author: reka

pandas-intro/pandas_intro.ipynb

@@ -258,9 +258,18 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "nba.loc[nba[\"team_id\"] == \"MNL\", \"date_game\"].min()\n",
+    "nba[\"date_played\"] = pd.to_datetime(nba[\"date_game\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nba.loc[nba[\"team_id\"] == \"MNL\", \"date_played\"].min()\n",
     "# Expected:\n",
-    "# '1/1/1949'"
+    "# Timestamp('1948-11-04 00:00:00')"
    ]
   },
   {
@@ -269,9 +278,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "nba.loc[nba[\"team_id\"] == \"MNL\", \"date_game\"].max()\n",
+    "nba.loc[nba[\"team_id\"] == \"MNL\", \"date_played\"].max()\n",
     "# Expected:\n",
-    "# '4/9/1959'"
+    "# Timestamp('1960-03-26 00:00:00')"
    ]
   },
   {
@@ -280,11 +289,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "nba.loc[nba[\"team_id\"] == \"MNL\", \"date_game\"].agg((\"min\", \"max\"))\n",
+    "nba.loc[nba[\"team_id\"] == \"MNL\", \"date_played\"].agg((\"min\", \"max\"))\n",
     "# Expected:\n",
-    "# min    1/1/1949\n",
-    "# max    4/9/1959\n",
-    "# Name: date_game, dtype: object"
+    "# min   1948-11-04\n",
+    "# max   1960-03-26\n",
+    "# Name: date_played, dtype: datetime64[ns]"
    ]
   },
   {
@@ -1541,21 +1550,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "argv": [
-    "/home/reka/anaconda3/bin/python",
-    "-m",
-    "ipykernel_launcher",
-    "-f",
-    "{connection_file}"
-   ],
    "display_name": "Python 3",
-   "env": {},
-   "interrupt_mode": "signal",
    "language": "python",
-   "metadata": {},
    "name": "python3"
   },
-  "language": "python"
+  "language": "python",
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.1"
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2